diff --git a/n3fit/runcards/examples/nnpdf40-like.yml b/n3fit/runcards/examples/nnpdf40-like.yml
index f1d1ed1d91..160e10e631 100644
--- a/n3fit/runcards/examples/nnpdf40-like.yml
+++ b/n3fit/runcards/examples/nnpdf40-like.yml
@@ -2,7 +2,7 @@
 # Configuration file for n3fit
 #
 ################################################################################
-description: NNPDF4.0 NNLO baseline fit (nFONLL). Comparable to NNPDF40_nnlo_as_01180_qcd
+description: NNLO baseline fit, NNPDF4.0 dataset
 
 ################################################################################
 dataset_inputs:
@@ -91,7 +91,7 @@ dataset_inputs:
 
 ################################################################################
 datacuts:
-  t0pdfset: NNPDF40_nnlo_as_01180
+  t0pdfset: 240701-02-rs-nnpdf40-baseline
   q2min: 3.49
   w2min: 12.5
 
@@ -136,27 +136,29 @@ fitting:
   fitbasis: EVOL
   savepseudodata: True
   basis:
-  - {fl: sng, trainable: false, smallx: [1.091, 1.119], largex: [1.471, 3.021]}
-  - {fl: g, trainable: false, smallx: [0.7795, 1.095], largex: [2.742, 5.547]}
-  - {fl: v, trainable: false, smallx: [0.472, 0.7576], largex: [1.571, 3.559]}
-  - {fl: v3, trainable: false, smallx: [0.07483, 0.4501], largex: [1.714, 3.467]}
-  - {fl: v8, trainable: false, smallx: [0.5731, 0.779], largex: [1.555, 3.465]}
-  - {fl: t3, trainable: false, smallx: [-0.5498, 1.0], largex: [1.778, 3.5]}
-  - {fl: t8, trainable: false, smallx: [0.5469, 0.857], largex: [1.555, 3.391]}
-  - {fl: t15, trainable: false, smallx: [1.081, 1.142], largex: [1.491, 3.092]}
+  - {fl: sng, trainable: false, smallx: [1.089, 1.119], largex: [1.475, 3.119]}
+  - {fl: g, trainable: false, smallx: [0.7504, 1.098], largex: [2.814, 5.669]}
+  - {fl: v, trainable: false, smallx: [0.479, 0.7384], largex: [1.549, 3.532]}
+  - {fl: v3, trainable: false, smallx: [0.1073, 0.4397], largex: [1.733, 3.458]}
+  - {fl: v8, trainable: false, smallx: [0.5507, 0.7837], largex: [1.516, 3.356]}
+  - {fl: t3, trainable: false, smallx: [-0.4506, 0.9305], largex: [1.745, 3.424]}
+  - {fl: t8, trainable: false, smallx: [0.5877, 0.8687], largex: [1.522, 3.515]}
+  - {fl: t15, trainable: false, smallx: [1.089, 1.141], largex: [1.492, 3.222]}
 
 ################################################################################
 positivity:
   posdatasets:
-  - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6}        # Positivity Lagrange Multiplier
+  # Positivity Lagrange Multiplier
+  - {dataset: NNPDF_POS_2P24GEV_F2U, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_F2D, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_F2S, maxlambda: 1e6}
-  - {dataset: NNPDF_POS_2P24GEV_FLL-19PTS, maxlambda: 1e6}
+  - {dataset: NNPDF_POS_2P24GEV_FLL, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_DYU, maxlambda: 1e10}
   - {dataset: NNPDF_POS_2P24GEV_DYD, maxlambda: 1e10}
   - {dataset: NNPDF_POS_2P24GEV_DYS, maxlambda: 1e10}
-  - {dataset: NNPDF_POS_2P24GEV_F2C-17PTS, maxlambda: 1e6}
-  - {dataset: NNPDF_POS_2P24GEV_XUQ, maxlambda: 1e6}        # Positivity of MSbar PDFs
+  - {dataset: NNPDF_POS_2P24GEV_F2C, maxlambda: 1e6}
+  # Positivity of MSbar PDFs
+  - {dataset: NNPDF_POS_2P24GEV_XUQ, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_XUB, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_XDQ, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_XDB, maxlambda: 1e6}
@@ -164,6 +166,26 @@ positivity:
   - {dataset: NNPDF_POS_2P24GEV_XSB, maxlambda: 1e6}
   - {dataset: NNPDF_POS_2P24GEV_XGL, maxlambda: 1e6}
 
+added_filter_rules:
+  - dataset: NNPDF_POS_2P24GEV_FLL
+    rule: "x > 5.0e-7"
+  - dataset: NNPDF_POS_2P24GEV_F2C
+    rule: "x < 0.74"
+  - dataset: NNPDF_POS_2P24GEV_XGL
+    rule: "x > 0.1"
+  - dataset: NNPDF_POS_2P24GEV_XUQ
+    rule: "x > 0.1"
+  - dataset: NNPDF_POS_2P24GEV_XUB
+    rule: "x > 0.1"
+  - dataset: NNPDF_POS_2P24GEV_XDQ
+    rule: "x > 0.1"
+  - dataset: NNPDF_POS_2P24GEV_XDB
+    rule: "x > 0.1"
+  - dataset: NNPDF_POS_2P24GEV_XSQ
+    rule: "x > 0.1"
+  - dataset: NNPDF_POS_2P24GEV_XSB
+    rule: "x > 0.1"
+
 integrability:
   integdatasets:
   - {dataset: NNPDF_INTEG_3GEV_XT8, maxlambda: 1e2}
diff --git a/nnpdf_data/nnpdf_data/filter_utils/correlations.py b/nnpdf_data/nnpdf_data/filter_utils/correlations.py
new file mode 100644
index 0000000000..c9c1cdc07b
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/filter_utils/correlations.py
@@ -0,0 +1,90 @@
+import numpy as np
+from numpy.linalg import eig
+
+
+def upper_triangular_to_symmetric(ut, dim):
+    """Build a symmetric matrix from the upper diagonal"""
+    corr = np.zeros((dim, dim))
+    last = dim
+    first = 0
+    for i in range(dim):
+        corr[i, i:] = ut[first:last]
+        last += dim - i - 1
+        first += dim - i
+    return corr
+
+
+def compute_covmat(corrmat: np.ndarray, unc: np.ndarray, ndata: int) -> list:
+    """Compute the covariance matrix with the artificial stat uncertainties."""
+    # multiply by stat err
+    cov_mat = np.einsum("i,ij,j->ij", unc, corrmat, unc)
+    return covmat_to_artunc(ndata, cov_mat.flatten().tolist())
+
+
+def covmat_to_artunc(ndata, covmat_list, no_of_norm_mat=0):
+    r"""Convert the covariance matrix to a matrix of
+    artificial uncertainties.
+
+    NOTE: This function has been taken from validphys.newcommondata_utils.
+    If those utils get merged in the future, we can replace this.
+
+    Parameters
+    ----------
+    ndata : integer
+        Number of data points
+    covmat_list : list
+        A one dimensional list which contains the elements of
+        the covariance matrix row by row. Since experimental
+        datasets provide these matrices in a list form, this
+        simplifies the implementation for the user.
+    no_of_norm_mat : int
+        Normalized covariance matrices may have an eigenvalue
+        of 0 due to the last data point not being linearly
+        independent. To allow for this, the user should input
+        the number of normalized matrices that are being treated
+        in an instance. For example, if a single covariance matrix
+        of a normalized distribution is being processed, the input
+        would be 1. If a covariance matrix contains pertains to
+        3 normalized datasets (i.e. cross covmat for 3
+        distributions), the input would be 3. The default value is
+        0 for when the covariance matrix pertains to an absolute
+        distribution.
+
+    Returns
+    -------
+    artunc : list
+        A two dimensional matrix (given as a list of lists)
+        which contains artificial uncertainties to be added
+        to the commondata. i^th row (or list) contains the
+        artificial uncertainties of the i^th data point.
+
+    """
+    epsilon = -0.0000000001
+    neg_eval_count = 0
+    psd_check = True
+    covmat = np.zeros((ndata, ndata))
+    artunc = np.zeros((ndata, ndata))
+    for i in range(len(covmat_list)):
+        a = i // ndata
+        b = i % ndata
+        covmat[a][b] = covmat_list[i]
+    eigval, eigvec = eig(covmat)
+    for j in range(len(eigval)):
+        if eigval[j] < epsilon:
+            psd_check = False
+        elif eigval[j] > epsilon and eigval[j] <= 0:
+            neg_eval_count = neg_eval_count + 1
+            if neg_eval_count == (no_of_norm_mat + 1):
+                psd_check = False
+        elif eigval[j] > 0:
+            continue
+    if psd_check == False:
+        raise ValueError("The covariance matrix is not positive-semidefinite")
+    else:
+        for i in range(ndata):
+            for j in range(ndata):
+                if eigval[j] < 0:
+                    continue
+                else:
+                    artunc[i][j] = eigvec[i][j] * np.sqrt(eigval[j])
+    return artunc.tolist()
diff --git a/nnpdf_data/nnpdf_data/filter_utils/uncertainties.py b/nnpdf_data/nnpdf_data/filter_utils/uncertainties.py
new file mode 100644
index 0000000000..8d2a923dd8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/filter_utils/uncertainties.py
@@ -0,0 +1,27 @@
+
+import numpy as np
+
+def symmetrize_errors(delta_plus, delta_minus):
+    r"""Compute the symmetrized uncertainty and the shift in data point.
+
+    Parameters
+    ----------
+    delta_plus : float
+        The top/plus uncertainty with sign
+    delta_minus : float
+        The bottom/minus uncertainty with sign
+
+    Returns
+    -------
+    se_delta : float
+        The value to be added to the data point
+    se_sigma : float
+        The symmetrized uncertainty to be used in commondata
+
+    """
+    semi_diff = (delta_plus + delta_minus) / 2
+    average = (delta_plus - delta_minus) / 2
+    se_delta = semi_diff
+    se_sigma = np.sqrt(average * average + 2 * semi_diff * semi_diff)
+    return se_delta, se_sigma
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EN/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EN/metadata.yaml
index 87fa3503bf..5467420fa9 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EN/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EN/metadata.yaml
@@ -52,4 +52,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - E155_NC_9GEV_EN_G1
-      operation: 'null'
+        - - E155_NC_9GEV_EN_F1
+      operation: 'ratio'
diff --git a/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EP/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EP/metadata.yaml
index 3bac0742e8..a5e8861802 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EP/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/E155_NC_9GEV_EP/metadata.yaml
@@ -52,4 +52,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - E155_NC_9GEV_EP_G1
-      operation: 'null'
+        - - E155_NC_9GEV_EP_F1
+      operation: 'ratio'
diff --git a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py
index 38e3209d55..8ffa9f2f16 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py
+++ b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py
@@ -9,8 +9,7 @@
 HERE = pathlib.Path(__file__).parent
 sys.path = [str(HERE.parent / "HERMES_NC_7GEV_EP")] + sys.path
 
-from filter import compute_covmat
-
+from nnpdf_data.filter_utils.correlations import compute_covmat
 
 def read_data(fnames):
     df = pd.DataFrame()
@@ -81,11 +80,9 @@ def write_data(df):
     # Extract the correlation matrix and compute artificial systematics
     ndata_points = len(data_central)
     corrmatrix = read_corrmatrix(nb_datapoints=ndata_points)
-    # Compute the covariance matrix
-    compute_covmat(corrmatrix, df, ndata_points)
 
     # Compute the covariance matrix
-    art_sys = compute_covmat(corrmatrix, df, ndata_points)
+    art_sys = compute_covmat(corrmatrix, df['stat'], ndata_points)
 
     error = []
     for i in range(ndata_points):
diff --git a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py
index 7b4613de30..055db9276e 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py
+++ b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py
@@ -2,10 +2,10 @@
 import pathlib
 
 import numpy as np
-from numpy.linalg import eig
 import pandas as pd
 import yaml
 
+from nnpdf_data.filter_utils.correlations import compute_covmat
 
 def read_data(fnames):
     df = pd.DataFrame()
@@ -49,84 +49,6 @@ def read_corrmatrix(nb_datapoints: int = 15) -> np.ndarray:
 
     return df_corrs.value.values.reshape((nb_datapoints, nb_datapoints))
 
-
-def covmat_to_artunc(ndata, covmat_list, no_of_norm_mat=0):
-    r"""Convert the covariance matrix to a matrix of
-    artificial uncertainties.
-
-    NOTE: This function has been taken from validphys.newcommondata_utils.
-    If those utils get merged in the future, we can replace this.
-
-    Parameters
-    ----------
-    ndata : integer
-        Number of data points
-    covmat_list : list
-        A one dimensional list which contains the elements of
-        the covariance matrix row by row. Since experimental
-        datasets provide these matrices in a list form, this
-        simplifies the implementation for the user.
-    no_of_norm_mat : int
-        Normalized covariance matrices may have an eigenvalue
-        of 0 due to the last data point not being linearly
-        independent. To allow for this, the user should input
-        the number of normalized matrices that are being treated
-        in an instance. For example, if a single covariance matrix
-        of a normalized distribution is being processed, the input
-        would be 1. If a covariance matrix contains pertains to
-        3 normalized datasets (i.e. cross covmat for 3
-        distributions), the input would be 3. The default value is
-        0 for when the covariance matrix pertains to an absolute
-        distribution.
-
-    Returns
-    -------
-    artunc : list
-        A two dimensional matrix (given as a list of lists)
-        which contains artificial uncertainties to be added
-        to the commondata. i^th row (or list) contains the
-        artificial uncertainties of the i^th data point.
-
-    """
-    epsilon = -0.0000000001
-    neg_eval_count = 0
-    psd_check = True
-    covmat = np.zeros((ndata, ndata))
-    artunc = np.zeros((ndata, ndata))
-    for i in range(len(covmat_list)):
-        a = i // ndata
-        b = i % ndata
-        covmat[a][b] = covmat_list[i]
-    eigval, eigvec = eig(covmat)
-    for j in range(len(eigval)):
-        if eigval[j] < epsilon:
-            psd_check = False
-        elif eigval[j] > epsilon and eigval[j] <= 0:
-            neg_eval_count = neg_eval_count + 1
-            if neg_eval_count == (no_of_norm_mat + 1):
-                psd_check = False
-        elif eigval[j] > 0:
-            continue
-    if psd_check == False:
-        raise ValueError('The covariance matrix is not positive-semidefinite')
-    else:
-        for i in range(ndata):
-            for j in range(ndata):
-                if eigval[j] < 0:
-                    continue
-                else:
-                    artunc[i][j] = eigvec[i][j] * np.sqrt(eigval[j])
-    return artunc.tolist()
-
-
-def compute_covmat(corrmat: np.ndarray, df: pd.DataFrame, ndata: int) -> list:
-    """Compute the covariance matrix with the artificial stat uncertanties."""
-    # multiply by stat err
-    stat = df["stat"]
-    cov_mat = np.einsum("i,ij,j->ij", stat, corrmat, stat)
-    return covmat_to_artunc(ndata, cov_mat.flatten().tolist())
-
-
 def write_data(df):
     data_central = []
     for i in range(len(df["G"])):
@@ -153,11 +75,9 @@ def write_data(df):
     # Extract the correlation matrix and compute artificial systematics
     ndata_points = len(data_central)
     corrmatrix = read_corrmatrix(nb_datapoints=ndata_points)
-    # Compute the covariance matrix
-    compute_covmat(corrmatrix, df, ndata_points)
 
     # Compute the covariance matrix
-    art_sys = compute_covmat(corrmatrix, df, ndata_points)
+    art_sys = compute_covmat(corrmatrix, df['stat'], ndata_points)
 
     error = []
     for i in range(ndata_points):
diff --git a/nnpdf_data/nnpdf_data/new_commondata/JLABE06_NC_3GEV_EN/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/JLABE06_NC_3GEV_EN/metadata.yaml
index a43024e975..78e06b689c 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/JLABE06_NC_3GEV_EN/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/JLABE06_NC_3GEV_EN/metadata.yaml
@@ -48,4 +48,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - JLABE06_NC_3GEV_EN_G1
-      operation: "null"
+        - - JLABE06_NC_3GEV_EN_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/JLABE99_NC_3GEV_EN/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/JLABE99_NC_3GEV_EN/metadata.yaml
index 8331a2efec..83278fb38c 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/JLABE99_NC_3GEV_EN/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/JLABE99_NC_3GEV_EN/metadata.yaml
@@ -49,4 +49,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - JLABE99_NC_3GEV_EN_G1
-      operation: "null"
+        - - JLABE99_NC_3GEV_EN_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_ED/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_ED/metadata.yaml
index 8154422330..7b4c605ad2 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_ED/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_ED/metadata.yaml
@@ -528,4 +528,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - JLABEG1B_NC_NOTFIXED_ED_G1
-      operation: "null"
+        - - JLABEG1B_NC_NOTFIXED_ED_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_EP/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_EP/metadata.yaml
index 51e55178d3..75f21d130b 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_EP/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1B_NC_NOTFIXED_EP/metadata.yaml
@@ -188,4 +188,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - JLABEG1B_NC_NOTFIXED_EP_G1
-      operation: "null"
+        - - JLABEG1B_NC_NOTFIXED_EP_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_3GEV_EP/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_3GEV_EP/metadata.yaml
index 79c3dc797d..9ca752132f 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_3GEV_EP/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_3GEV_EP/metadata.yaml
@@ -52,4 +52,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - JLABEG1DVCS_NC_3GEV_EP_G1
-      operation: "null"
+        - - JLABEG1DVCS_NC_3GEV_EP_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_5GEV_ED/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_5GEV_ED/metadata.yaml
index 9d6436f913..d065f515f1 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_5GEV_ED/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/JLABEG1DVCS_NC_5GEV_ED/metadata.yaml
@@ -52,4 +52,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - JLABEG1DVCS_NC_5GEV_ED_G1
-      operation: "null"
+        - - JLABEG1DVCS_NC_5GEV_ED_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTAG.yaml b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTA.yaml
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTAG.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTA.yaml
diff --git a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTASIGMA.yaml b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTASIGMA.yaml
deleted file mode 100644
index cba7884c13..0000000000
--- a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/kinematics_XDELTASIGMA.yaml
+++ /dev/null
@@ -1,13 +0,0 @@
-bins:
-- x:
-    min: null
-    mid: 1.0e-05
-    max: null
-  Q2:
-    min: null
-    mid: 1.0
-    max: null
-  y:
-    min: null
-    mid: 0.0
-    max: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/metadata.yaml
index 878a047c2a..94f19ce2b7 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_INTEG_1GEV/metadata.yaml
@@ -48,7 +48,7 @@ implemented_observables:
         description: "inelasticity"
         label: "$y$"
         units: ""
-    file: kinematics_XDELTAG.yaml
+    file: kinematics_XDELTA.yaml
   theory:
     conversion_factor: 1.0
     operation: 'null'
@@ -87,13 +87,91 @@ implemented_observables:
         description: "inelasticity"
         label: "$y$"
         units: ""
-    file: kinematics_XDELTASIGMA.yaml
+    file: kinematics_XDELTA.yaml
   theory:
     conversion_factor: 1.0
     operation: 'null'
     FK_tables:
     - - NNPDF_INTEG_DSIGMA
   data_uncertainties: []
+- observable_name: XV-POLARIZED
+  observable:
+    description: Integrability dataset for Polarized Valence
+    label: 'polarized integrability: $x \delta V$ PDF $Q^2=1$ GeV$^2$'
+    units: ''
+  process_type: INTEG_XDV
+  tables: []
+  npoints: []
+  ndata: 1
+  plotting:
+    kinematics_override: dis_sqrt_scale
+    theory_reference: Ball:2013lla
+    dataset_label: 'polarized integrability: $x \delta V$ PDF $Q^2=1$ GeV$^2$'
+    plot_x: x
+  kinematic_coverage:
+  - x
+  - Q2
+  - y
+  kinematics:
+    variables:
+      x:
+        description: "momentum fraction"
+        label: "$x$"
+        units: ""
+      Q2:
+        description: "virtuality"
+        label: "$Q^2$"
+        units: "$GeV^2$"
+      y:
+        description: "inelasticity"
+        label: "$y$"
+        units: ""
+    file: kinematics_XDELTA.yaml
+  theory:
+    conversion_factor: 1.0
+    operation: 'null'
+    FK_tables:
+    - - NNPDF_INTEG_DV
+  data_uncertainties: []
+- observable_name: XV3-POLARIZED
+  observable:
+    description: Integrability dataset for Polarized V3
+    label: 'polarized integrability: $x \delta V_3$ PDF $Q^2=1$ GeV$^2$'
+    units: ''
+  process_type: INTEG_XDV3
+  tables: []
+  npoints: []
+  ndata: 1
+  plotting:
+    kinematics_override: dis_sqrt_scale
+    theory_reference: Ball:2013lla
+    dataset_label: 'polarized integrability: $x \delta V_3$ PDF $Q^2=1$ GeV$^2$'
+    plot_x: x
+  kinematic_coverage:
+  - x
+  - Q2
+  - y
+  kinematics:
+    variables:
+      x:
+        description: "momentum fraction"
+        label: "$x$"
+        units: ""
+      Q2:
+        description: "virtuality"
+        label: "$Q^2$"
+        units: "$GeV^2$"
+      y:
+        description: "inelasticity"
+        label: "$y$"
+        units: ""
+    file: kinematics_XDELTA.yaml
+  theory:
+    conversion_factor: 1.0
+    operation: 'null'
+    FK_tables:
+    - - NNPDF_INTEG_DV3
+  data_uncertainties: []
 - observable_name: T8-543
   observable:
     description: Integrability to be used in the flavour basis
diff --git a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL-19PTS.yaml b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL-19PTS.yaml
index 9f78a90ce2..fe53ed59c0 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL-19PTS.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL-19PTS.yaml
@@ -1,229 +1,153 @@
 bins:
-- k1:
+- x:
     min: null
     mid: 1.940766723678e-06
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 7.533150951473e-06
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 2.924017738213e-05
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.0001134967265154
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.0004405413401349
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.001709975946677
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.006637328831201
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.02576301385941
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.1
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.18
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.26
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.34
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.42
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.5
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.58
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.66
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.74
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.82
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.9
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL.yaml b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL.yaml
index 26edc37705..24b058bef1 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/kinematics_FLL.yaml
@@ -1,241 +1,161 @@
 bins:
-- k1:
+- x:
     min: null
     mid: 5.0e-07
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 1.940766723678e-06
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 7.533150951473e-06
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 2.924017738213e-05
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.0001134967265154
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.0004405413401349
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.001709975946677
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.006637328831201
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.02576301385941
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.1
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.18
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.26
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.34
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.42
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.5
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.58
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.66
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.74
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.82
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
-- k1:
+- x:
     min: null
     mid: 0.9
     max: null
-  k2:
+  Q2:
     min: null
     mid: 5.0
     max: null
-  k3:
-    min: null
-    mid: 0.0
-    max: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/metadata.yaml
index d9dffbdaa0..ef5971153c 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/NNPDF_POS_2P24GEV/metadata.yaml
@@ -56,7 +56,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS $c+\bar{c}$ structure function $F_2^c$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 20
@@ -91,7 +91,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS $c$ structure function $F_2^{W^-,c}$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 17
@@ -126,7 +126,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS $d+\bar{d}$ structure function $F_2^d$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 20
@@ -161,7 +161,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS $s+\bar{s}$ structure function $F_2^s$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 20
@@ -196,7 +196,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS light quark longitudinal structure function $F_L^l$'
     units: ''
-  process_type: POS_FLL
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 20
@@ -207,22 +207,17 @@ implemented_observables:
       $F_L^l$'
     plot_x: k1
   kinematic_coverage:
-  - k1
-  - k2
-  - k3
+  - x
+  - Q2
   kinematics:
     variables:
-      k1:
-        description: Variable k1
-        label: k1
-        units: ''
-      k2:
-        description: Variable k2
-        label: k2
+      x:
+        description: Bjorken x
+        label: x
         units: ''
-      k3:
-        description: Variable k3
-        label: k3
+      Q2:
+        description: Factorization scale
+        label: Q2
         units: ''
     file: kinematics_FLL.yaml
   theory:
@@ -454,7 +449,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS $c+\bar{c}$ structure function $F_2^c$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 17
@@ -489,7 +484,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: CC DIS $\bar{c}$ structure function $F_2^{W^+,c}$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 17
@@ -524,7 +519,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS $u+\bar{u}$ structure function $F_2^u$'
     units: ''
-  process_type: POS_F2
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 20
@@ -559,7 +554,7 @@ implemented_observables:
     description: Deep Inelastic Scattering
     label: 'positivity dataset: DIS light quark longitudinal structure function $F_L^l$'
     units: ''
-  process_type: POS_FLL
+  process_type: POS_DIS
   tables: []
   npoints: []
   ndata: 19
@@ -570,22 +565,17 @@ implemented_observables:
       $F_L^l$'
     plot_x: k1
   kinematic_coverage:
-  - k1
-  - k2
-  - k3
+  - x
+  - Q2
   kinematics:
     variables:
-      k1:
-        description: Variable k1
-        label: k1
-        units: ''
-      k2:
-        description: Variable k2
-        label: k2
+      x:
+        description: Bjorken x
+        label: x
         units: ''
-      k3:
-        description: Variable k3
-        label: k3
+      Q2:
+        description: Factorization scale
+        label: Q2
         units: ''
     file: kinematics_FLL-19PTS.yaml
   theory:
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml
new file mode 100644
index 0000000000..cd826a98f7
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml
@@ -0,0 +1,7 @@
+data_central:
+- -0.0014
+- -0.0005
+- 0.0058
+- 0.0034
+- 0.0077
+- -0.0181
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py
new file mode 100644
index 0000000000..2ab7f0a26d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py
@@ -0,0 +1,101 @@
+import pandas as pd
+import yaml
+
+POL_UNC = 0.094
+
+
+def read_data():
+    df = pd.DataFrame()
+
+    with open("rawdata/Table4.yaml", "r") as file:
+        data = yaml.safe_load(file)
+
+    pTbsub = data["independent_variables"][0]["values"]
+    pTsub = data["dependent_variables"][0]["values"]
+    ALLsub = data["dependent_variables"][1]["values"]
+
+    for i in range(len(ALLsub)):
+        df = pd.concat(
+            [
+                df,
+                pd.DataFrame(
+                    {
+                        "pT": [pTsub[i]["value"]],
+                        "pTmin": [pTbsub[i]["low"]],
+                        "pTmax": [pTbsub[i]["high"]],
+                        "eta": [0.0],
+                        "eta_min": [-0.35],
+                        "eta_max": [0.35],
+                        "sqrts": [200],
+                        "ALL": [ALLsub[i]["value"]],
+                        "stat": [ALLsub[i]["errors"][0]["symerror"]],
+                    }
+                ),
+            ],
+            ignore_index=True,
+        )
+
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    return df
+
+
+def write_data(df):
+    data_central = []
+    for i in range(len(df["ALL"])):
+        data_central.append(float(df.loc[i, "ALL"]))
+
+    data_central_yaml = {"data_central": data_central}
+    with open("data.yaml", "w") as file:
+        yaml.dump(data_central_yaml, file, sort_keys=False)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df["ALL"])):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pTmin"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pTmax"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "eta": {
+                "min": float(df.loc[i, "eta_min"]),
+                "mid": float(df.loc[i, "eta"]),
+                "max": float(df.loc[i, "eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+
+    kinematics_yaml = {"bins": kin}
+
+    with open("kinematics.yaml", "w") as file:
+        yaml.dump(kinematics_yaml, file, sort_keys=False)
+
+    # Write unc file
+    error = []
+    for i in range(len(df)):
+        e = {"stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"])}
+        error.append(e)
+
+    error_definition = {
+        "stat": {
+            "description": "statistical uncertainty",
+            "treatment": "ADD",
+            "type": "UNCORR",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": "RHIC2005POL",
+        },
+    }
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+
+    with open("uncertainties.yaml", "w") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    df = read_data()
+    write_data(df)
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml
new file mode 100644
index 0000000000..c66d84ce98
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml
@@ -0,0 +1,73 @@
+bins:
+- pT:
+    min: 4.0
+    mid: 4.4
+    max: 5.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.35
+    mid: 0.0
+    max: 0.35
+- pT:
+    min: 5.0
+    mid: 5.4
+    max: 6.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.35
+    mid: 0.0
+    max: 0.35
+- pT:
+    min: 6.0
+    mid: 6.4
+    max: 7.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.35
+    mid: 0.0
+    max: 0.35
+- pT:
+    min: 7.0
+    mid: 7.4
+    max: 8.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.35
+    mid: 0.0
+    max: 0.35
+- pT:
+    min: 8.0
+    mid: 8.8
+    max: 10.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.35
+    mid: 0.0
+    max: 0.35
+- pT:
+    min: 10.0
+    mid: 10.8
+    max: 12.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.35
+    mid: 0.0
+    max: 0.35
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..e1d7611cc0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml
@@ -0,0 +1,55 @@
+setname: "PHENIX_1JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "PHENIX"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/1009.4921
+iNSPIRE:
+  url: "https://inspirehep.net/literature/870912"
+hepdata:
+  url: "https://www.hepdata.net/record/ins870912"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" }
+    observable_name: ALL
+    process_type: JET_POL
+    ndata: 6
+    tables: [4]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        eta: { description: "pseudorapidity", label: '$\eta$', units: "" }
+
+      file: kinematics.yaml
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+    kinematic_coverage: [pT, sqrts, eta]
+    plotting:
+      kinematics_override: identity
+      dataset_label: "$A_{LL}$"
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - PHENIX_1JET_200GEV_ALL-POL
+        - - PHENIX_1JET_200GEV_ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Figure18.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Figure18.yaml
new file mode 100644
index 0000000000..acc552a160
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Figure18.yaml
@@ -0,0 +1,50 @@
+# This table is not correct presumably, as it contains two additional bins not shown in the figure
+# and the stat error does not match with Table4 and Figure 18 of the paper.
+independent_variables:
+- header: {name: '$p^{reco}_T$ Bins (GeV/$c$)'}
+  values:
+  - {low: 2, high: 3}
+  - {low: 3, high: 4}
+  - {low: 4, high: 5}
+  - {low: 5, high: 6}
+  - {low: 6, high: 7}
+  - {low: 7, high: 8}
+  - {low: 8, high: 10}
+  - {low: 10, high: 12}
+dependent_variables:
+- header: {name: '$<p^{reco}_T>$ (GeV/$c$)'}
+  values:
+  - value: 2.4
+  - value: 3.4
+  - value: 4.4
+  - value: 5.4
+  - value: 6.4
+  - value: 7.4
+  - value: 8.8
+  - value: 10.8
+- header: {name: 'Jet $A_{LL}$'}
+  values:
+  - value: -0.0007
+    errors:
+    - {symerror: 7.7e-5, label: 'stat.'}
+  - value: 0.0039
+    errors:
+    - {symerror: 8.2e-4, label: 'stat.'}
+  - value: -0.0014
+    errors:
+    - {symerror: 5.2e-4, label: 'stat.'}
+  - value: -0.0005
+    errors:
+    - {symerror: 3.0e-4, label: 'stat.'}
+  - value: 0.0058
+    errors:
+    - {symerror: 5.2e-3, label: 'stat.'}
+  - value: 0.0034
+    errors:
+    - {symerror: 4.5e-3, label: 'stat.'}
+  - value: 0.0077
+    errors:
+    - {symerror: 1.2e-2, label: 'stat.'}
+  - value: -0.0181
+    errors:
+    - {symerror: 5.1e-2, label: 'stat.'}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml
new file mode 100644
index 0000000000..2742edb4e7
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml
@@ -0,0 +1,39 @@
+independent_variables:
+# Manually copied from the paper
+- header: {name: '$p^{reco}_T$ Bins (GeV/$c$)'}
+  values:
+  - {low: 4, high: 5}
+  - {low: 5, high: 6}
+  - {low: 6, high: 7}
+  - {low: 7, high: 8}
+  - {low: 8, high: 10}
+  - {low: 10, high: 12}
+dependent_variables:
+- header: {name: '$<p^{reco}_T>$ (GeV/$c$)'}
+  values:
+  - value: 4.4
+  - value: 5.4
+  - value: 6.4
+  - value: 7.4
+  - value: 8.8
+  - value: 10.8
+- header: {name: 'Jet $A_{LL}$'}
+  values:
+  - value: -0.0014
+    errors:
+    - {symerror: 0.0037, label: 'stat.'}
+  - value: -0.0005
+    errors:
+    - {symerror: 0.0059, label: 'stat.'}
+  - value: 0.0058
+    errors:
+    - {symerror: 0.0089, label: 'stat.'}
+  - value: 0.0034
+    errors:
+    - {symerror: 0.0132, label: 'stat.'}
+  - value: 0.0077
+    errors:
+    - {symerror: 0.0152, label: 'stat.'}
+  - value: -0.0181
+    errors:
+    - {symerror: 0.0282, label: 'stat.'}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml
new file mode 100644
index 0000000000..c0c3d91ac8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml
@@ -0,0 +1,22 @@
+definitions:
+  stat:
+    description: statistical uncertainty
+    treatment: ADD
+    type: UNCORR
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: RHIC2005POL
+bins:
+- stat: 0.0037
+  pol: 0.0001316
+- stat: 0.0059
+  pol: 4.7000000000000004e-05
+- stat: 0.0089
+  pol: 0.0005451999999999999
+- stat: 0.0132
+  pol: 0.00031959999999999996
+- stat: 0.0152
+  pol: 0.0007238
+- stat: 0.0282
+  pol: 0.0017014
diff --git a/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_17GEV_MUP/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_17GEV_MUP/metadata.yaml
index 9f20a88259..1384356a78 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_17GEV_MUP/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_17GEV_MUP/metadata.yaml
@@ -51,4 +51,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - SMCSX_NC_17GEV_MUP_G1
-      operation: "null"
+        - - SMCSX_NC_17GEV_MUP_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_24GEV_MUD/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_24GEV_MUD/metadata.yaml
index 971407221f..414b631b91 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_24GEV_MUD/metadata.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/SMCSX_NC_24GEV_MUD/metadata.yaml
@@ -51,4 +51,5 @@ implemented_observables:
     theory:
       FK_tables:
         - - SMCSX_NC_24GEV_MUD_G1
-      operation: "null"
+        - - SMCSX_NC_24GEV_MUD_F1
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml
new file mode 100644
index 0000000000..4223da7b92
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml
@@ -0,0 +1,7 @@
+data_central:
+- 0.014
+- -0.066
+- -0.019
+- -0.015
+- -0.009
+- 0.004
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py
new file mode 100644
index 0000000000..67d95de3e1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py
@@ -0,0 +1,93 @@
+"""This script provides the filer to the inclusive jet STAR 2004 dataset."""
+import pandas as pd
+import yaml
+
+POL_UNC = 0.25
+SQRTS = 200
+ETA_MIN = 0.2
+ETA_MAX = 0.8
+
+
+def read_data():
+    df = pd.DataFrame()
+    file_raw = "HEPData-ins723509-v1-Figure_3.csv"
+    with open(f"rawdata/{file_raw}", "r", encoding="utf-8") as file:
+        df = pd.read_csv(file, skiprows=8)
+
+    df["stat"] = df["stat +"]
+    df["sys"] = df["syst +"]
+    df["pol"] = POL_UNC * abs(df["$A_{LL}$"])
+    df["sqrts"] = SQRTS
+    df["eta"] = (ETA_MAX + ETA_MIN) / 2
+    return df
+
+
+def write_data(df):
+    data_central = []
+    for i in range(len(df["$A_{LL}$"])):
+        data_central.append(float(df.loc[i, "$A_{LL}$"]))
+
+    data_central_yaml = {"data_central": data_central}
+    with open("data.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file, sort_keys=False)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df["$A_{LL}$"])):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "$p_T (GeV/c)$ LOW"]),
+                "mid": float(df.loc[i, "$p_T (GeV/c)$"]),
+                "max": float(df.loc[i, "$p_T (GeV/c)$ HIGH"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "eta": {
+                "min": ETA_MIN,
+                "mid": float(df.loc[i, "eta"]),
+                "max": ETA_MAX,
+            },
+        }
+        kin.append(kin_value)
+
+    kinematics_yaml = {"bins": kin}
+
+    with open("kinematics.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(kinematics_yaml, file, sort_keys=False)
+
+    # Write unc file
+    error = []
+    for i in range(len(df)):
+        e = {
+            "stat": float(df.loc[i, "stat"]),
+            "sys": float(df.loc[i, "sys"]),
+            "pol": float(df.loc[i, "pol"]),
+        }
+        error.append(e)
+
+    error_definition = {
+        "stat": {
+            "description": "statistical uncertainty",
+            "treatment": "ADD",
+            "type": "UNCORR",
+        },
+        "sys": {
+            "description": "systematic uncertainty",
+            "treatment": "ADD",
+            "type": "UNCORR",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": "RHIC2004POL",
+        },
+    }
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+
+    with open("uncertainties.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    df = read_data()
+    write_data(df)
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml
new file mode 100644
index 0000000000..b44cdedd5e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml
@@ -0,0 +1,73 @@
+bins:
+- pT:
+    min: 5.0
+    mid: 5.5
+    max: 6.2
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 6.2
+    mid: 6.8
+    max: 7.6
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 7.6
+    mid: 8.3
+    max: 9.3
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 9.3
+    mid: 10.2
+    max: 11.4
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 11.4
+    mid: 12.6
+    max: 14.1
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 14.1
+    mid: 15.4
+    max: 17.3
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..fb20c359a6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml
@@ -0,0 +1,56 @@
+setname: "STAR_2004_1JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/hep-ex/0608030
+iNSPIRE:
+  url: https://inspirehep.net/literature/723509
+hepdata:
+  url: https://www.hepdata.net/record/ins723509
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" }
+    observable_name: ALL
+    process_type: JET_POL
+    ndata: 6
+    tables: [3]
+    npoints: [6]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        eta: { description: "pseudorapidity", label: '$\eta$', units: "" }
+
+      file: kinematics.yaml
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+    kinematic_coverage: [pT, sqrts, eta]
+    plotting:
+      kinematics_override: identity
+      dataset_label: "$A_{LL}$"
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2004_1JET_200GEV_ALL-POL
+        - - STAR_2004_1JET_200GEV_ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv
new file mode 100644
index 0000000000..4dbeeb23ae
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv
@@ -0,0 +1,16 @@
+8#: table_doi: 10.17182/hepdata.104928.v1/t3
+#: name: Figure 3
+#: description: The longitudinal double-spin asymmetry ALL in p+p-> jet +X at sqrt(s) = 200 GeV versus jet pT. The uncertainties on the data points are statistical. The gray band indicates the systematic uncertainty from the beam polarization measurement, and the hatched band the total systematic uncertainty. The curves show predictions based on deep-inelastic scattering parametrizations of gluon polarization.
+#: data_file: Figure_3.yaml
+#: keyword reactions: pp --> jet + X
+#: keyword cmenergies: 200
+#: keyword phrases: jets | RHIC | STAR
+#: $p_T (GeV/c)$,,,Filled circles (high tower trigger)
+$p_T (GeV/c)$,$p_T (GeV/c)$ LOW,$p_T (GeV/c)$ HIGH,$A_{LL}$,stat +,stat -,syst +,syst -
+5.5,5.0,6.2,0.014,0.022,-0.022,0.015,-0.015
+6.8,6.2,7.6,-0.066,0.024,-0.024,0.022,-0.022
+8.3,7.6,9.3,-0.019,0.029,-0.029,0.015,-0.015
+10.2,9.3,11.4,-0.015,0.038,-0.038,0.015,-0.015
+12.6,11.4,14.1,-0.009,0.052,-0.052,0.015,-0.015
+15.4,14.1,17.3,0.004,0.075,-0.075,0.015,-0.015
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml
new file mode 100644
index 0000000000..fdef3b1d93
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml
@@ -0,0 +1,32 @@
+definitions:
+  stat:
+    description: statistical uncertainty
+    treatment: ADD
+    type: UNCORR
+  sys:
+    description: systematic uncertainty
+    treatment: ADD
+    type: UNCORR
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: RHIC2004POL
+bins:
+- stat: 0.022
+  sys: 0.015
+  pol: 0.0035
+- stat: 0.024
+  sys: 0.022
+  pol: 0.0165
+- stat: 0.029
+  sys: 0.015
+  pol: 0.00475
+- stat: 0.038
+  sys: 0.015
+  pol: 0.00375
+- stat: 0.052
+  sys: 0.015
+  pol: 0.00225
+- stat: 0.075
+  sys: 0.015
+  pol: 0.001
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml
new file mode 100644
index 0000000000..b5bc5e2f36
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml
@@ -0,0 +1,11 @@
+data_central:
+- 0.0053
+- -0.00275
+- 0.0023
+- 0.01465
+- -0.00625
+- 0.0031000000000000003
+- -0.0142
+- -0.0522
+- 0.0569
+- 0.147
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py
new file mode 100644
index 0000000000..38673c4cd0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py
@@ -0,0 +1,121 @@
+import glob
+import sys
+
+import pandas as pd
+import yaml
+
+from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se
+
+POL_UNC = 0.094
+
+def read_data(fnames):
+    df = pd.DataFrame()
+    for fname in fnames:
+        with open(fname, "r") as file:
+            data = yaml.safe_load(file)
+            if "14" in fname:
+                eta_min = 0.2
+                eta_max = 0.8
+
+            elif "15" in fname:
+                eta_min = -0.7
+                eta_max = 0.9
+
+            else:
+                print("ERROR: Unknown table number detected! Check input files.")
+
+        pTsub = data["independent_variables"][0]["values"]
+        ALLsub = data["dependent_variables"][0]["values"]
+
+        for i in range(len(ALLsub)):
+            df = pd.concat(
+                [
+                    df,
+                    pd.DataFrame(
+                        {
+                            "pT": [pTsub[i]["value"]],
+                            "pTmin": [pTsub[i]["low"]],
+                            "pTmax": [pTsub[i]["high"]],
+                            "eta": [(eta_min + eta_max) / 2],
+                            "eta_min": [eta_min],
+                            "eta_max": [eta_max],
+                            "sqrts": [200],
+                            "ALL": [ALLsub[i]["value"] * 1e-3],
+                            "stat": [ALLsub[i]["errors"]["symerror"]["value"] * 1e-3],
+                            "sys_min": [ALLsub[i]["errors"]["asymerror"]["minus"] * 1e-3],
+                            "sys_max": [ALLsub[i]["errors"]["asymerror"]["plus"] * 1e-3],
+                        }
+                    ),
+                ],
+                ignore_index=True,
+            )
+        for i in range(len(df)):
+            shift, unc = se(df.loc[i, "sys_max"], df.loc[i, "sys_min"])
+            df.loc[i, "sys"] = unc
+            df.loc[i, "ALL"] += shift
+
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    return df
+
+
+def write_data(df):
+    data_central = []
+    for i in range(len(df["ALL"])):
+        data_central.append(float(df.loc[i, "ALL"]))
+
+    data_central_yaml = {"data_central": data_central}
+    with open("data.yaml", "w") as file:
+        yaml.dump(data_central_yaml, file, sort_keys=False)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df["ALL"])):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pTmin"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pTmax"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "eta": {
+                "min": float(df.loc[i, "eta_min"]),
+                "mid": float(df.loc[i, "eta"]),
+                "max": float(df.loc[i, "eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+
+    kinematics_yaml = {"bins": kin}
+
+    with open("kinematics.yaml", "w") as file:
+        yaml.dump(kinematics_yaml, file, sort_keys=False)
+
+    # Write unc file
+    error = []
+    for i in range(len(df)):
+        e = {
+            "stat": float(df.loc[i, "stat"]),
+            "sys": float(df.loc[i, "sys"]),
+            "pol": float(df.loc[i, "pol"])
+        }
+        error.append(e)
+
+    error_definition = {
+        "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"},
+        "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"},
+        "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "RHIC2005POL"}
+    }
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+
+    with open("uncertainties.yaml", "w") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # TODO: Need to generate `observable` cards and corresponding
+    # pineappl grids and FK tables as the orders have changed!!!!
+    fnames = glob.glob("rawdata/*.yaml")
+    nnames = sorted([i for i in fnames])
+    df = read_data(nnames)
+    write_data(df)
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml
new file mode 100644
index 0000000000..c0c8b17dfd
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml
@@ -0,0 +1,121 @@
+bins:
+- pT:
+    min: 4.9
+    mid: 5.3
+    max: 5.7
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 5.9
+    mid: 6.3
+    max: 6.8
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 6.7
+    mid: 7.1
+    max: 7.7
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 8.1
+    mid: 8.7
+    max: 9.4
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 10.0
+    mid: 10.7
+    max: 11.5
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 12.3
+    mid: 13.1
+    max: 14.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 15.2
+    mid: 16.0
+    max: 17.0
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 18.4
+    mid: 19.4
+    max: 20.7
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 22.4
+    mid: 23.6
+    max: 25.1
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
+- pT:
+    min: 26.7
+    mid: 28.1
+    max: 29.9
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: 0.2
+    mid: 0.5
+    max: 0.8
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..0f02f2a65e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml
@@ -0,0 +1,56 @@
+setname: "STAR_2005_1JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/1205.2735
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1114529"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1114529"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" }
+    observable_name: ALL
+    process_type: JET_POL
+    ndata: 10
+    tables: [14]
+    npoints: [10]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        eta: { description: "pseudorapidity", label: '$\eta$', units: "" }
+
+      file: kinematics.yaml
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+    kinematic_coverage: [pT, sqrts, eta]
+    plotting:
+      kinematics_override: identity
+      dataset_label: "$A_{LL}$"
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2005_1JET_200GEV_ALL-POL
+        - - STAR_2005_1JET_200GEV_ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/rawdata/Table_14.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/rawdata/Table_14.yaml
new file mode 100644
index 0000000000..e654ea3dc8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/rawdata/Table_14.yaml
@@ -0,0 +1,69 @@
+dependent_variables:
+  - header: { name: '$A_{LL}\times 10^{-3}$' }
+    qualifiers:
+      - { name: "Source", value: "2005 STAR Data" }
+
+    values:
+      - value: 5.3
+        errors:
+          symerror: { "value": 5.9, label: "stat" }
+          asymerror: { minus: -2.4, plus: 2.4 }
+
+      - value: -2.7
+        errors:
+          symerror: { "value": 5.4, label: "stat" }
+          asymerror: { minus: -1.9, plus: 1.8 }
+
+      - value: 2.4
+        errors:
+          symerror: { "value": 5.7, label: "stat" }
+          asymerror: { minus: -1.9, plus: 1.7 }
+
+      - value: 14.3
+        errors:
+          symerror: { "value": 6.7, label: "stat" }
+          asymerror: { minus: -2.2, plus: 2.9 }
+
+      - value: -6.7
+        errors:
+          symerror: { "value": 8.7, label: "stat" }
+          asymerror: { minus: -1.7, plus: 2.6 }
+
+      - value: 2.6
+        errors:
+          symerror: { "value": 12.7, label: "stat" }
+          asymerror: { minus: -1.7, plus: 2.7 }
+
+      - value: -14.6
+        errors:
+          symerror: { "value": 20.3, label: "stat" }
+          asymerror: { minus: -2.2, plus: 3.0 }
+
+      - value: -52.2
+        errors:
+          symerror: { "value": 35.0, label: "stat" }
+          asymerror: { minus: -2.9, plus: 2.9 }
+
+      - value: 56.9
+        errors:
+          symerror: { "value": 67.1, label: "stat" }
+          asymerror: { minus: -4.1, plus: 4.1 }
+
+      - value: 146
+        errors:
+          symerror: { "value": 138, label: "stat" }
+          asymerror: { minus: -3.7, plus: 5.7 }
+
+independent_variables:
+  - header: { name: "$p_{T}$", units: GeV/c }
+    values:
+      - { value: 5.3, low: 4.9, high: 5.7 }
+      - { value: 6.3, low: 5.9, high: 6.8 }
+      - { value: 7.1, low: 6.7, high: 7.7 }
+      - { value: 8.7, low: 8.1, high: 9.4 }
+      - { value: 10.7, low: 10.0, high: 11.5 }
+      - { value: 13.1, low: 12.3, high: 14.0 }
+      - { value: 16.0, low: 15.2, high: 17.0 }
+      - { value: 19.4, low: 18.4, high: 20.7 }
+      - { value: 23.6, low: 22.4, high: 25.1 }
+      - { value: 28.1, low: 26.7, high: 29.9 }
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml
new file mode 100644
index 0000000000..f5afbd72a1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml
@@ -0,0 +1,44 @@
+definitions:
+  stat:
+    description: statistical uncertainty
+    treatment: ADD
+    type: UNCORR
+  sys:
+    description: systematic uncertainty
+    treatment: ADD
+    type: UNCORR
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: RHIC2005POL
+bins:
+- stat: 0.005900000000000001
+  sys: 0.0024
+  pol: 0.0004982
+- stat: 0.0054
+  sys: 0.0018513508581573619
+  pol: 0.0002585
+- stat: 0.0057
+  sys: 0.0018055470085267787
+  pol: 0.0002162
+- stat: 0.0067
+  sys: 0.002597595041572108
+  pol: 0.0013771
+- stat: 0.0087
+  sys: 0.0022422087324778664
+  pol: 0.0005875
+- stat: 0.0127
+  sys: 0.002310844001658269
+  pol: 0.00029140000000000004
+- stat: 0.020300000000000002
+  sys: 0.002660826939130014
+  pol: 0.0013348000000000001
+- stat: 0.035
+  sys: 0.0029
+  pol: 0.0049068
+- stat: 0.06709999999999999
+  sys: 0.0040999999999999995
+  pol: 0.0053486
+- stat: 0.138
+  sys: 0.004908156476723211
+  pol: 0.013817999999999999
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml
new file mode 100644
index 0000000000..9a5cd41d27
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml
@@ -0,0 +1,10 @@
+data_central:
+- 0.0033
+- 0.00365
+- 0.01025
+- 0.00135
+- 0.00925
+- 0.02595
+- 0.026850000000000002
+- 0.02375
+- 0.0139
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py
new file mode 100644
index 0000000000..d305bbb45c
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py
@@ -0,0 +1,121 @@
+import glob
+import sys
+
+import pandas as pd
+import yaml
+
+from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se
+
+POL_UNC = 0.083
+
+def read_data(fnames):
+    df = pd.DataFrame()
+    for fname in fnames:
+        with open(fname, "r") as file:
+            data = yaml.safe_load(file)
+            if "14" in fname:
+                eta_min = 0.2
+                eta_max = 0.8
+
+            elif "15" in fname:
+                eta_min = -0.7
+                eta_max = 0.9
+
+            else:
+                print("ERROR: Unknown table number detected! Check input files.")
+
+        pTsub = data["independent_variables"][0]["values"]
+        ALLsub = data["dependent_variables"][0]["values"]
+
+        for i in range(len(ALLsub)):
+            df = pd.concat(
+                [
+                    df,
+                    pd.DataFrame(
+                        {
+                            "pT": [pTsub[i]["value"]],
+                            "pTmin": [pTsub[i]["low"]],
+                            "pTmax": [pTsub[i]["high"]],
+                            "eta": [(eta_min + eta_max) / 2],
+                            "eta_min": [eta_min],
+                            "eta_max": [eta_max],
+                            "sqrts": [200],
+                            "ALL": [ALLsub[i]["value"] * 1e-3],
+                            "stat": [ALLsub[i]["errors"]["symerror"]["value"] * 1e-3],
+                            "sys_min": [ALLsub[i]["errors"]["asymerror"]["minus"] * 1e-3],
+                            "sys_max": [ALLsub[i]["errors"]["asymerror"]["plus"] * 1e-3],
+                        }
+                    ),
+                ],
+                ignore_index=True,
+            )
+        for i in range(len(df)):
+            shift, unc = se(df.loc[i, "sys_max"], df.loc[i, "sys_min"])
+            df.loc[i, "sys"] = unc
+            df.loc[i, "ALL"] += shift
+
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    return df
+
+
+def write_data(df):
+    data_central = []
+    for i in range(len(df["ALL"])):
+        data_central.append(float(df.loc[i, "ALL"]))
+
+    data_central_yaml = {"data_central": data_central}
+    with open("data.yaml", "w") as file:
+        yaml.dump(data_central_yaml, file, sort_keys=False)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df["ALL"])):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pTmin"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pTmax"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "eta": {
+                "min": float(df.loc[i, "eta_min"]),
+                "mid": float(df.loc[i, "eta"]),
+                "max": float(df.loc[i, "eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+
+    kinematics_yaml = {"bins": kin}
+
+    with open("kinematics.yaml", "w") as file:
+        yaml.dump(kinematics_yaml, file, sort_keys=False)
+
+    # Write unc file
+    error = []
+    for i in range(len(df)):
+        e = {
+            "stat": float(df.loc[i, "stat"]),
+            "sys": float(df.loc[i, "sys"]),
+            "pol": float(df.loc[i, "pol"]),
+        }
+        error.append(e)
+
+    error_definition = {
+        "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"},
+        "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"},
+        "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "STAR2006POL"}
+    }
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+
+    with open("uncertainties.yaml", "w") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # TODO: Need to generate `observable` cards and corresponding
+    # pineappl grids and FK tables as the orders have changed!!!!
+    fnames = glob.glob("rawdata/*.yaml")
+    nnames = sorted([i for i in fnames])
+    df = read_data(nnames)
+    write_data(df)
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/kinematics.yaml
new file mode 100644
index 0000000000..b9f422549d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/kinematics.yaml
@@ -0,0 +1,109 @@
+bins:
+- pT:
+    min: 7.8
+    mid: 8.5
+    max: 9.3
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 9.5
+    mid: 10.3
+    max: 11.1
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 11.3
+    mid: 12.2
+    max: 13.1
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 13.4
+    mid: 14.4
+    max: 15.4
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 16.1
+    mid: 17.2
+    max: 18.3
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 19.2
+    mid: 20.5
+    max: 21.8
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 22.9
+    mid: 24.4
+    max: 25.9
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 27.6
+    mid: 29.4
+    max: 31.2
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
+- pT:
+    min: 32.0
+    mid: 34.7
+    max: 37.3
+  sqrts:
+    min: null
+    mid: 200.0
+    max: null
+  eta:
+    min: -0.7
+    mid: 0.10000000000000003
+    max: 0.9
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..d8d069f9b8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml
@@ -0,0 +1,56 @@
+setname: "STAR_2006_1JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/1205.2735
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1114529"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1114529"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" }
+    observable_name: ALL
+    process_type: JET_POL
+    ndata: 9
+    tables: [15]
+    npoints: [9]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        eta: { description: "pseudorapidity", label: '$\eta$', units: "" }
+
+      file: kinematics.yaml
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+    kinematic_coverage: [pT, sqrts, eta]
+    plotting:
+      kinematics_override: identity
+      dataset_label: "$A_{LL}$"
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2006_1JET_200GEV_ALL-POL
+        - - STAR_2006_1JET_200GEV_ALL-UNPOL
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/rawdata/Table_15.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/rawdata/Table_15.yaml
new file mode 100644
index 0000000000..a8ac09d945
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/rawdata/Table_15.yaml
@@ -0,0 +1,63 @@
+dependent_variables:
+  - header: { name: '$A_{LL}\times 10^{-3}$' }
+    qualifiers:
+      - { name: "Source", value: '2006 STAR Data, -0.7 < $\eta$ < 0.9' }
+
+    values:
+      - value: 2.7
+        errors:
+          symerror: { value: 5.3, label: "stat" }
+          asymerror: { minus: -2.6, plus: 3.8 }
+
+      - value: 3.3
+        errors:
+          symerror: { value: 4.3, label: "stat" }
+          asymerror: { minus: -1.6, plus: 2.3 }
+
+      - value: 9.9
+        errors:
+          symerror: { value: 4.1, label: "stat" }
+          asymerror: { minus: -1.6, plus: 2.3 }
+
+      - value: 1.2
+        errors:
+          symerror: { value: 4.5, label: "stat" }
+          asymerror: { minus: -1.2, plus: 1.5 }
+
+      - value: 9.2
+        errors:
+          symerror: { value: 5.8, label: "stat" }
+          asymerror: { minus: -1.1, plus: 1.2 }
+
+      - value: 25.7
+        errors:
+          symerror: { value: 8.8, label: "stat" }
+          asymerror: { minus: -1.3, plus: 1.8 }
+
+      - value: 25.6
+        errors:
+          symerror: { value: 15.4, label: "stat" }
+          asymerror: { minus: -1.6, plus: 4.1 }
+
+      - value: 22.0
+        errors:
+          symerror: { value: 31.0, label: "stat" }
+          asymerror: { minus: -2.1, plus: 5.6 }
+
+      - value: 12.0
+        errors:
+          symerror: { value: 70.6, label: "stat" }
+          asymerror: { minus: -3.3, plus: 7.1 }
+
+independent_variables:
+  - header: { name: "$p_{T}$", units: GeV/c }
+    values:
+      - { value: 8.5, low: 7.8, high: 9.3 }
+      - { value: 10.3, low: 9.5, high: 11.1 }
+      - { value: 12.2, low: 11.3, high: 13.1 }
+      - { value: 14.4, low: 13.4, high: 15.4 }
+      - { value: 17.2, low: 16.1, high: 18.3 }
+      - { value: 20.5, low: 19.2, high: 21.8 }
+      - { value: 24.4, low: 22.9, high: 25.9 }
+      - { value: 29.4, low: 27.6, high: 31.2 }
+      - { value: 34.7, low: 32.0, high: 37.3 }
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml
new file mode 100644
index 0000000000..5d183cf01f
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml
@@ -0,0 +1,41 @@
+definitions:
+  stat:
+    description: statistical uncertainty
+    treatment: ADD
+    type: UNCORR
+  sys:
+    description: systematic uncertainty
+    treatment: ADD
+    type: UNCORR
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2006POL
+bins:
+- stat: 0.0053
+  sys: 0.00331058907144937
+  pol: 0.0002739
+- stat: 0.0043
+  sys: 0.002011839953873071
+  pol: 0.00030295
+- stat: 0.0040999999999999995
+  sys: 0.002011839953873071
+  pol: 0.00085075
+- stat: 0.0045000000000000005
+  sys: 0.001366565036871645
+  pol: 0.00011205000000000001
+- stat: 0.0058
+  sys: 0.0011521718621802911
+  pol: 0.00076775
+- stat: 0.0088
+  sys: 0.0015898113095584648
+  pol: 0.00215385
+- stat: 0.0154
+  sys: 0.0033537292675468
+  pol: 0.00222855
+- stat: 0.031
+  sys: 0.004576843890717707
+  pol: 0.00197125
+- stat: 0.0706
+  sys: 0.005853204250664759
+  pol: 0.0011537
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CC.yaml
new file mode 100644
index 0000000000..df9f4f0e9d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CC.yaml
@@ -0,0 +1,12 @@
+data_central:
+- 0.002
+- 0.0056
+- 0.0013
+- 0.005
+- 0.0054
+- 0.0114
+- 0.0115
+- 0.0132
+- 0.0207
+- 0.0326
+- 0.0332
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml
new file mode 100644
index 0000000000..44f13d9a83
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml
@@ -0,0 +1,12 @@
+data_central:
+- 0.0018
+- 0.004
+- 0.0059
+- 0.0027
+- 0.0069
+- 0.0087
+- 0.015
+- 0.0195
+- 0.0333
+- 0.0437
+- 0.0055
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py
new file mode 100644
index 0000000000..eaaccbadda
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py
@@ -0,0 +1,348 @@
+"""This script provides the common filer to the jet and dijet STAR 2009 datasets.
+Files need to be parsed all together as there are correlations provided.
+"""
+
+import pathlib
+
+import numpy as np
+import pandas as pd
+import yaml
+
+from nnpdf_data.filter_utils.correlations import compute_covmat
+
+TOPOPLOGY_LIST = ["CC", "CF", "SS", "OS", "A", "B", "C"]
+POL_UNC = 0.065
+LUMI_UNC = 0.0005
+YEAR = 2009
+HERE = pathlib.Path(__file__).parent
+
+# NOTE: this is not the full relevant as the observable is symmetric 
+# for jet1 and jet2, so 1 and 2 are not ordered in pT and the 
+# information about the sign in missing.
+TOPO_DEF = {
+    "B": {"eta1_min": -0.8, "eta1_max": 0, "eta2_min": 0.8, "eta2_max": 1.8},
+    "C": {"eta1_min": 0, "eta1_max": 0.8, "eta2_min": 0.8, "eta2_max": 1.8},
+    "A": {"eta1_min": 0.8, "eta1_max": 1.8, "eta2_min": 0.8, "eta2_max": 1.8},
+    "SS": {"abs_eta_min": 0, "abs_eta_max": 0.8},
+    "OS": {"abs_eta_min": 0, "abs_eta_max": 0.8},
+    "CC": {"abs_eta_min": 0, "abs_eta_max": 0.5},
+    "CF": {"abs_eta_min": 0.5, "abs_eta_max": 1.0},
+}
+
+
+def read_1jet_data(topology):
+    tab_number = 3 if "CC" in topology else 4
+    fnames = [
+        f"rawdata/Table_{tab_number}_ALL.csv",
+        f"rawdata/Table_{tab_number}_pT.csv",
+        f"rawdata/Table_5.csv",
+    ]
+
+    df = pd.DataFrame()
+    for fname in fnames:
+        dfi = pd.read_csv(fname)
+        if "pT" in fname:
+            df["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"]
+            df["pT_min"] = df["pT"] - dfi["sys +"]
+            df["pT_max"] = df["pT"] + dfi["sys +"]
+
+        elif "ALL" in fname:
+            df["ALL"] = dfi["$A_{LL}$"]
+            df["stat_min"] = dfi["stat -"]
+            df["stat_max"] = dfi["stat +"]
+            df["sys_min"] = dfi["sys -"]
+            df["sys_max"] = dfi["sys +"]
+        # elif "5" in fname:
+        #     dfc_col = pd.read_csv(fname)
+
+        #     dfc = pd.DataFrame()
+        #     biny = 1
+        #     for i in range(len(dfc_col)):
+        #         if dfc_col.loc[i, "binx"] == "-":
+        #             biny = float(dfc_col.loc[i, "val"])
+        #         else:
+        #             binx = float(dfc_col.loc[i, "binx"])
+        #             dfc.loc[binx, biny] = dfc_col.loc[i, "val"]
+        #     dfc = dfc.astype("float")
+
+    df["abs_eta_min"] = TOPO_DEF[topology]["abs_eta_min"]
+    df["abs_eta_max"] = TOPO_DEF[topology]["abs_eta_max"]
+    df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2
+    df["stat"] = df["stat_max"]
+    df["sys"] = df["sys_max"]
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    df["lumi"] = LUMI_UNC
+    df["sqrts"] = 200
+    return df
+
+
+def read_2jet_data(topology):
+    if "S" in topology:
+        fname = f"../STAR_{YEAR}_2JET_MIDRAP_200GEV/rawdata/Table_{topology}.yaml"
+    else:
+        fname = f"../STAR_{YEAR}_2JET_200GEV/rawdata/Table_{topology}.yaml"
+    df = pd.DataFrame()
+    with open(fname, "r", encoding="utf-8") as file:
+        data = yaml.safe_load(file)
+
+    if topology in ["A", "B", "C"]:
+        Msub = data["independent_variables"][0]["values"]
+        Gsub = data["dependent_variables"][0]["values"]
+
+        for i in range(len(Msub)):
+            df = pd.concat(
+                [
+                    df,
+                    pd.DataFrame(
+                        {
+                            "m_low": [Msub[i]["low"]],
+                            "m_high": [Msub[i]["high"]],
+                            "ALL": [Gsub[i]["value"]],
+                            "stat": [Gsub[i]["errors"][0]["symerror"]],
+                            "sys": [Gsub[i]["errors"][1]["symerror"]],
+                        }
+                    ),
+                ],
+                ignore_index=True,
+            )
+        df["m"] = (df["m_low"] + df["m_high"]) / 2
+        df["eta1_min"] = TOPO_DEF[topology]["eta1_min"]
+        df["eta1_max"] = TOPO_DEF[topology]["eta1_max"]
+        df["eta2_min"] = TOPO_DEF[topology]["eta2_min"]
+        df["eta2_max"] = TOPO_DEF[topology]["eta2_max"]
+        df["eta1"] = (df["eta1_min"] + df["eta1_max"]) / 2
+        df["eta2"] = (df["eta2_min"] + df["eta2_max"]) / 2
+    else:
+        Msub = data["dependent_variables"][0]["values"]
+        Gsub = data["dependent_variables"][1]["values"]
+
+        for i in range(len(Msub)):
+            df = pd.concat(
+                [
+                    df,
+                    pd.DataFrame(
+                        {
+                            "m": [Msub[i]["value"]],
+                            "ALL": [Gsub[i]["value"]],
+                            "stat": [Gsub[i]["errors"][0]["symerror"]],
+                            "sys": [Gsub[i]["errors"][1]["symerror"]],
+                            "abs_eta_min": TOPO_DEF[topology]["abs_eta_min"],
+                            "abs_eta_max": TOPO_DEF[topology]["abs_eta_max"],
+                        }
+                    ),
+                ],
+                ignore_index=True,
+            )
+
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    df["lumi"] = LUMI_UNC
+    df["sqrts"] = 200
+    return df
+
+
+def write_1jet_data(df, topology, art_sys):
+    STORE_PATH = HERE
+
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pT_min"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pT_max"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "abs_eta": {
+                "min": float(df.loc[i, "abs_eta_min"]),
+                "mid": float(df.loc[i, "abs_eta"]),
+                "max": float(df.loc[i, "abs_eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(
+        STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+        "lumi": {
+            "description": "luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMI",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {"pol": float(df.loc[i, "pol"]), "lumi": float(df.loc[i, "lumi"])}
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+        error.append(e)
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(
+        STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+def write_2jet_data(df, topology, art_sys):
+    STORE_PATH = f"../STAR_{YEAR}_2JET_200GEV/"
+    if "S" in topology:
+        STORE_PATH = f"../STAR_{YEAR}_2JET_MIDRAP_200GEV/"
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH + f"data_{topology}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        try:
+            kin_value = {
+                "m_jj": {
+                    "min": float(df.loc[i, "m_low"]),
+                    "mid": float(df.loc[i, "m"]),
+                    "max": float(df.loc[i, "m_high"]),
+                },
+                # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+                "eta_1": {
+                    "min": float(df.loc[i, "eta1_min"]),
+                    "mid": float(df.loc[i, "eta1"]),
+                    "max": float(df.loc[i, "eta1_max"]),
+                },
+                "eta_2": {
+                    "min": float(df.loc[i, "eta2_min"]),
+                    "mid": float(df.loc[i, "eta2"]),
+                    "max": float(df.loc[i, "eta2_max"]),
+                },
+            }
+        except KeyError:
+            df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2
+            kin_value = {
+                "m_jj": {"min": None, "mid": float(df.loc[i, "m"]), "max": None},
+                # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+                "abs_eta_1": {
+                    "min": float(df.loc[i, "abs_eta_min"]),
+                    "mid": float(df.loc[i, "abs_eta"]),
+                    "max": float(df.loc[i, "abs_eta_max"]),
+                },
+                "abs_eta_2": {
+                    "min": float(df.loc[i, "abs_eta_min"]),
+                    "mid": float(df.loc[i, "abs_eta"]),
+                    "max": float(df.loc[i, "abs_eta_max"]),
+                },
+            }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(
+        STORE_PATH + f"kinematics_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+        "lumi": {
+            "description": "luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMI",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {
+            "pol": float(df.loc[i, "pol"]),
+            "lumi": float(df.loc[i, "lumi"]),
+        }
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+        error.append(e)
+
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(
+        STORE_PATH + f"uncertainties_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # load all the data
+    dfs = {}
+    for topo in TOPOPLOGY_LIST[:2]:
+        dfs[topo] = read_1jet_data(topo)
+    for topo in TOPOPLOGY_LIST[2:]:
+        dfs[topo] = read_2jet_data(topo)
+
+    # load correlations
+    ndata_dict = {a: len(b) for a, b in dfs.items()}
+    correlation_df = pd.read_csv(
+        "rawdata/correlation.csv",
+        index_col=0,
+    )
+    # from the supplement material:
+    # https://journals.aps.org/prd/supplemental/10.1103/PhysRevD.98.032011/Supplementalmaterial.pdf
+    # we understand that stat jet and dijet are correlated,
+    # see also https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662
+    correlated_unc = []
+    for a in TOPOPLOGY_LIST:
+        correlated_unc.extend(
+            np.sqrt(dfs[a]["sys"] ** 2 + dfs[a]["stat"] ** 2).values.tolist()
+        )
+    ndata_points = np.sum((*ndata_dict.values(),))
+    # decompose uncertainties
+    art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points))
+
+    # write data
+    cnt = 0
+    for topo, df in dfs.items():
+        ndata = ndata_dict[topo]
+        syst = art_sys[cnt : cnt + ndata, :].tolist()
+        if topo in ["CC", "CF"]:
+            write_1jet_data(df, topo, syst)
+        else:
+            write_2jet_data(df, topo, syst)
+        cnt += ndata
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml
new file mode 100644
index 0000000000..fdf857b07d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml
@@ -0,0 +1,133 @@
+bins:
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 6.29
+    mid: 5.5
+    min: 4.71
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 7.29
+    mid: 6.49
+    min: 5.69
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 8.95
+    mid: 8.25
+    min: 7.55
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 10.75
+    mid: 10.08
+    min: 9.41
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 12.93
+    mid: 12.26
+    min: 11.59
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 15.489999999999998
+    mid: 14.78
+    min: 14.07
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 18.0
+    mid: 17.23
+    min: 16.46
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 21.439999999999998
+    mid: 20.56
+    min: 19.68
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 24.55
+    mid: 23.61
+    min: 22.669999999999998
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 28.76
+    mid: 27.78
+    min: 26.8
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 33.57
+    mid: 32.46
+    min: 31.35
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml
new file mode 100644
index 0000000000..a0c92de0c5
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml
@@ -0,0 +1,133 @@
+bins:
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 6.42
+    mid: 5.61
+    min: 4.800000000000001
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 7.43
+    mid: 6.62
+    min: 5.8100000000000005
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 9.17
+    mid: 8.48
+    min: 7.790000000000001
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 10.82
+    mid: 10.17
+    min: 9.52
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 12.84
+    mid: 12.2
+    min: 11.559999999999999
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 15.18
+    mid: 14.57
+    min: 13.96
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 17.68
+    mid: 16.99
+    min: 16.299999999999997
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 21.06
+    mid: 20.16
+    min: 19.26
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 24.28
+    mid: 23.35
+    min: 22.42
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 28.22
+    mid: 27.13
+    min: 26.04
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 32.16
+    mid: 31.08
+    min: 30.0
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..c844d16563
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml
@@ -0,0 +1,94 @@
+setname: "STAR_2009_1JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/1405.5134
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1297229"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1297229"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "ALL w.r.t. pT, central region", label: "$A_{LL}$", units: "" }
+    observable_name: CC-ALL
+    process_type: JET_POL
+    ndata: 11
+    tables: [3]
+    npoints: [11]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        abs_eta: { description: "pseudorapidity", label: '$|\eta|$', units: "" }
+
+      file: kinematics_CC.yaml
+    data_central: data_CC.yaml
+    data_uncertainties:
+      - uncertainties_CC.yaml
+    kinematic_coverage: [pT, sqrts, abs_eta]
+    plotting:
+      kinematics_override: identity
+      dataset_label: "$A_{LL}$"
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_1JET_200GEV_CC-ALL-POL
+        - - STAR_2009_1JET_200GEV_CC-ALL-UNPOL
+      operation: "ratio"
+  - observable: { description: "ALL w.r.t. pT, forward region", label: "$A_{LL}$", units: "" }
+    observable_name: CF-ALL
+    process_type: JET_POL
+    ndata: 11
+    tables: [4]
+    npoints: [11]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        abs_eta: { description: "pseudorapidity", label: '$|\eta|$', units: "" }
+
+      file: kinematics_CF.yaml
+    data_central: data_CF.yaml
+    data_uncertainties:
+      - uncertainties_CF.yaml
+    kinematic_coverage: [pT, sqrts, abs_eta]
+    plotting:
+      kinematics_override: identity
+      dataset_label: "$A_{LL}$"
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_1JET_200GEV_CF-ALL-POL
+        - - STAR_2009_1JET_200GEV_CF-ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv
new file mode 100644
index 0000000000..782f8abb98
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv
@@ -0,0 +1,12 @@
+Bin,$A_{LL}$,stat +,stat -,sys +,sys -
+1.0,0.002,0.0015,-0.0015,0.0003,-0.0003
+2.0,0.0056,0.0016,-0.0016,0.0004,-0.0004
+3.0,0.0013,0.0014,-0.0014,0.0004,-0.0004
+4.0,0.005,0.0016,-0.0016,0.0004,-0.0004
+5.0,0.0054,0.002,-0.002,0.0005,-0.0005
+6.0,0.0114,0.0026,-0.0026,0.0006,-0.0006
+7.0,0.0115,0.0037,-0.0037,0.0015,-0.0015
+8.0,0.0132,0.0055,-0.0055,0.0016,-0.0016
+9.0,0.0207,0.0092,-0.0092,0.0022,-0.0022
+10.0,0.0326,0.016,-0.016,0.0039,-0.0039
+11.0,0.0332,0.0297,-0.0297,0.0048,-0.0048
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv
new file mode 100644
index 0000000000..26c494a751
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv
@@ -0,0 +1,12 @@
+Bin,Parton Jet $p_T$ [GeV/c],stat +,stat -,sys +,sys -
+1.0,5.5,0.0,-0.0,0.79,-0.79
+2.0,6.49,0.0,-0.0,0.8,-0.8
+3.0,8.25,0.0,-0.0,0.7,-0.7
+4.0,10.08,0.0,-0.0,0.67,-0.67
+5.0,12.26,0.0,-0.0,0.67,-0.67
+6.0,14.78,0.0,-0.0,0.71,-0.71
+7.0,17.23,0.0,-0.0,0.77,-0.77
+8.0,20.56,0.0,-0.0,0.88,-0.88
+9.0,23.61,0.0,-0.0,0.94,-0.94
+10.0,27.78,0.0,-0.0,0.98,-0.98
+11.0,32.46,0.0,-0.0,1.11,-1.11
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv
new file mode 100644
index 0000000000..50abb7106e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv
@@ -0,0 +1,12 @@
+Bin,$A_{LL}$,stat +,stat -,sys +,sys -
+12.0,0.0018,0.0016,-0.0016,0.0004,-0.0004
+13.0,0.004,0.0018,-0.0018,0.0004,-0.0004
+14.0,0.0059,0.0016,-0.0016,0.0004,-0.0004
+15.0,0.0027,0.0019,-0.0019,0.0004,-0.0004
+16.0,0.0069,0.0024,-0.0024,0.0005,-0.0005
+17.0,0.0087,0.0032,-0.0032,0.0006,-0.0006
+18.0,0.015,0.0046,-0.0046,0.0011,-0.0011
+19.0,0.0195,0.0071,-0.0071,0.0015,-0.0015
+20.0,0.0333,0.0122,-0.0122,0.0025,-0.0025
+21.0,0.0437,0.0221,-0.0221,0.0038,-0.0038
+22.0,0.0055,0.0434,-0.0434,0.006,-0.006
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv
new file mode 100644
index 0000000000..40a537e8a5
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv
@@ -0,0 +1,12 @@
+Bin,Parton Jet $p_T$ [GeV/c],stat +,stat -,sys +,sys -
+12.0,5.61,0.0,-0.0,0.81,-0.81
+13.0,6.62,0.0,-0.0,0.81,-0.81
+14.0,8.48,0.0,-0.0,0.69,-0.69
+15.0,10.17,0.0,-0.0,0.65,-0.65
+16.0,12.2,0.0,-0.0,0.64,-0.64
+17.0,14.57,0.0,-0.0,0.61,-0.61
+18.0,16.99,0.0,-0.0,0.69,-0.69
+19.0,20.16,0.0,-0.0,0.9,-0.9
+20.0,23.35,0.0,-0.0,0.93,-0.93
+21.0,27.13,0.0,-0.0,1.09,-1.09
+22.0,31.08,0.0,-0.0,1.08,-1.08
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv
new file mode 100644
index 0000000000..3dbe5a424d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv
@@ -0,0 +1,507 @@
+binx,val
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv
new file mode 100644
index 0000000000..79a3996ebd
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CC.yaml
new file mode 100644
index 0000000000..87e5ac31d1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CC.yaml
@@ -0,0 +1,857 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
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+    treatment: ADD
+    type: STAR2009JETunc13
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+    type: STAR2009JETunc14
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+    treatment: ADD
+    type: STAR2009JETunc15
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+    type: STAR2009JETunc16
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+    type: STAR2009JETunc17
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+    treatment: ADD
+    type: STAR2009JETunc18
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+    type: STAR2009JETunc19
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+    type: STAR2009JETunc20
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+    type: STAR2009JETunc21
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+    type: STAR2009JETunc22
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+    type: STAR2009JETunc23
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+    treatment: ADD
+    type: STAR2009JETunc24
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+    type: STAR2009JETunc25
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+    type: STAR2009JETunc26
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+    type: STAR2009JETunc27
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+    type: STAR2009JETunc28
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+    type: STAR2009JETunc29
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+    type: STAR2009JETunc30
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+    type: STAR2009JETunc31
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+    type: STAR2009JETunc32
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+    type: STAR2009JETunc34
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+    type: STAR2009JETunc35
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+    type: STAR2009JETunc36
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+    type: STAR2009JETunc37
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+    treatment: ADD
+    type: STAR2009JETunc53
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+    type: STAR2009JETunc54
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml
new file mode 100644
index 0000000000..76e8bcfbd3
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml
@@ -0,0 +1,857 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc53
+  sys_54:
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+    treatment: ADD
+    type: STAR2009JETunc54
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_A.yaml
new file mode 100644
index 0000000000..e0a271f93e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_A.yaml
@@ -0,0 +1,6 @@
+data_central:
+- 0.0019
+- -0.0069
+- 0.0212
+- 0.043
+- 0.078
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_B.yaml
new file mode 100644
index 0000000000..ee5207be44
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_B.yaml
@@ -0,0 +1,8 @@
+data_central:
+- -0.0178
+- 0.0058
+- 0.0048
+- 0.0017
+- -0.0078
+- 0.0099
+- 0.012
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_C.yaml
new file mode 100644
index 0000000000..ca01f4b281
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_C.yaml
@@ -0,0 +1,8 @@
+data_central:
+- -0.0034
+- 0.0131
+- 0.0027
+- 0.0066
+- 0.0209
+- 0.011
+- 0.031
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml
new file mode 100644
index 0000000000..9f24498bec
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml
@@ -0,0 +1,61 @@
+bins:
+- eta_1:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 19.38
+    mid: 18.5
+    min: 17.62
+- eta_1:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 22.9
+    mid: 21.7
+    min: 20.5
+- eta_1:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 27.59
+    mid: 26.310000000000002
+    min: 25.03
+- eta_1:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 33.48
+    mid: 31.74
+    min: 30.0
+- eta_1:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 40.39
+    mid: 38.879999999999995
+    min: 37.37
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml
new file mode 100644
index 0000000000..462e9c811c
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml
@@ -0,0 +1,85 @@
+bins:
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 19.82
+    mid: 18.439999999999998
+    min: 17.06
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 23.1
+    mid: 22.11
+    min: 21.12
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 27.73
+    mid: 26.57
+    min: 25.41
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 33.76
+    mid: 32.21
+    min: 30.66
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 39.75
+    mid: 38.35
+    min: 36.95
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 49.66
+    mid: 48.01
+    min: 46.36
+- eta_1:
+    max: 0.0
+    mid: -0.4
+    min: -0.8
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 67.88
+    mid: 65.72999999999999
+    min: 63.58
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml
new file mode 100644
index 0000000000..1351f99837
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml
@@ -0,0 +1,85 @@
+bins:
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 19.71
+    mid: 18.509999999999998
+    min: 17.31
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 22.94
+    mid: 21.78
+    min: 20.62
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 27.21
+    mid: 26.02
+    min: 24.83
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 32.16
+    mid: 30.79
+    min: 29.42
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 39.28
+    mid: 37.95
+    min: 36.62
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 47.98
+    mid: 46.43
+    min: 44.88
+- eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  eta_2:
+    max: 1.8
+    mid: 1.3
+    min: 0.8
+  m_jj:
+    max: 66.04
+    mid: 62.82000000000001
+    min: 59.6
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..14289e5a5a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml
@@ -0,0 +1,129 @@
+setname: "STAR_2009_2JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "DIJET"
+
+arXiv:
+  url: https://arxiv.org/abs/1805.09742
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1674714"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1674714"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology A",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: A-ALL
+    process_type: DIJET_POL
+    ndata: 5
+    tables: [9]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" }
+        eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" }
+      file: kinematics_A.yaml
+    kinematic_coverage: [m_jj, eta_1, eta_2]
+    data_central: data_A.yaml
+    data_uncertainties:
+      - uncertainties_A.yaml
+    plotting:
+      dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology A"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_2JET_200GEV_A-ALL-POL
+        - - STAR_2009_2JET_200GEV_A-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology B",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: B-ALL
+    process_type: DIJET_POL
+    ndata: 7
+    tables: [9]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" }
+        eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" }
+      file: kinematics_B.yaml
+    kinematic_coverage: [m_jj, eta_1, eta_2]
+    data_central: data_B.yaml
+    data_uncertainties:
+      - uncertainties_B.yaml
+    plotting:
+      dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology B"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_2JET_200GEV_B-ALL-POL
+        - - STAR_2009_2JET_200GEV_B-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology C",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: C-ALL
+    process_type: DIJET_POL
+    ndata: 7
+    tables: [9]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" }
+        eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" }
+      file: kinematics_C.yaml
+    kinematic_coverage: [m_jj, eta_1, eta_2]
+    data_central: data_C.yaml
+    data_uncertainties:
+      - uncertainties_C.yaml
+    plotting:
+      dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology C"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_2JET_200GEV_C-ALL-POL
+        - - STAR_2009_2JET_200GEV_C-ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_A.yaml
new file mode 100644
index 0000000000..ef946d92e2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_A.yaml
@@ -0,0 +1,34 @@
+dependent_variables:
+- header: {name: 'Dijet $A_{LL}$'}
+  qualifiers:
+  - {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', value: Endcap
+      Endcap}
+  values:
+  - errors:
+    - {label: stat, symerror: 0.007}
+    - {label: sys, symerror: 0.002}
+    value: 0.0019
+  - errors:
+    - {label: stat, symerror: 0.007}
+    - {label: sys, symerror: 0.0024}
+    value: -0.0069
+  - errors:
+    - {label: stat, symerror: 0.01}
+    - {label: sys, symerror: 0.0016}
+    value: 0.0212
+  - errors:
+    - {label: stat, symerror: 0.019}
+    - {label: sys, symerror: 0.005}
+    value: 0.043
+  - errors:
+    - {label: stat, symerror: 0.05}
+    - {label: sys, symerror: 0.007}
+    value: 0.078
+independent_variables:
+- header: {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$'}
+  values:
+  - {high: 19.38, low: 17.62}
+  - {high: 22.9, low: 20.5}
+  - {high: 27.59, low: 25.03}
+  - {high: 33.48, low: 30.0}
+  - {high: 40.39, low: 37.37}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_B.yaml
new file mode 100644
index 0000000000..2bfa28f8fa
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_B.yaml
@@ -0,0 +1,47 @@
+dependent_variables:
+  - header: { name: "Dijet $A_{LL}$" }
+    qualifiers:
+      - {
+          name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$',
+          value: East-Barrel
+            Endcap,
+        }
+    values:
+      - errors:
+          - { label: stat, symerror: 0.011 }
+          - { label: sys, symerror: 0.001 }
+        value: -0.0178
+      - errors:
+          - { label: stat, symerror: 0.005 }
+          - { label: sys, symerror: 0.0015 }
+        value: 0.0058
+      - errors:
+          - { label: stat, symerror: 0.004 }
+          - { label: sys, symerror: 0.0016 }
+        value: 0.0048
+      - errors:
+          - { label: stat, symerror: 0.004 }
+          - { label: sys, symerror: 0.0013 }
+        value: 0.0017
+      - errors:
+          - { label: stat, symerror: 0.006 }
+          - { label: sys, symerror: 0.0017 }
+        value: -0.0078
+      - errors:
+          - { label: stat, symerror: 0.008 }
+          - { label: sys, symerror: 0.0027 }
+        value: 0.0099
+      - errors:
+          - { label: stat, symerror: 0.03 }
+          - { label: sys, symerror: 0.007 }
+        value: 0.012
+independent_variables:
+  - header: { name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$' }
+    values:
+      - { high: 19.82, low: 17.06 }
+      - { high: 23.1, low: 21.12 }
+      - { high: 27.73, low: 25.41 }
+      - { high: 33.76, low: 30.66 }
+      - { high: 39.75, low: 36.95 }
+      - { high: 49.66, low: 46.36 }
+      - { high: 67.88, low: 63.58 }
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_C.yaml
new file mode 100644
index 0000000000..5c094c43a8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_C.yaml
@@ -0,0 +1,44 @@
+dependent_variables:
+- header: {name: 'Dijet $A_{LL}$'}
+  qualifiers:
+  - {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', value: West-Barrel
+      Endcap}
+  values:
+  - errors:
+    - {label: stat, symerror: 0.005}
+    - {label: sys, symerror: 0.0012}
+    value: -0.0034
+  - errors:
+    - {label: stat, symerror: 0.004}
+    - {label: sys, symerror: 0.0015}
+    value: 0.0131
+  - errors:
+    - {label: stat, symerror: 0.004}
+    - {label: sys, symerror: 0.0007}
+    value: 0.0027
+  - errors:
+    - {label: stat, symerror: 0.006}
+    - {label: sys, symerror: 0.0015}
+    value: 0.0066
+  - errors:
+    - {label: stat, symerror: 0.01}
+    - {label: sys, symerror: 0.0019}
+    value: 0.0209
+  - errors:
+    - {label: stat, symerror: 0.016}
+    - {label: sys, symerror: 0.004}
+    value: 0.011
+  - errors:
+    - {label: stat, symerror: 0.09}
+    - {label: sys, symerror: 0.006}
+    value: 0.031
+independent_variables:
+- header: {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$'}
+  values:
+  - {high: 19.71, low: 17.31}
+  - {high: 22.94, low: 20.62}
+  - {high: 27.21, low: 24.83}
+  - {high: 32.16, low: 29.42}
+  - {high: 39.28, low: 36.62}
+  - {high: 47.98, low: 44.88}
+  - {high: 66.04, low: 59.6}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml
new file mode 100644
index 0000000000..b06ec55b25
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml
@@ -0,0 +1,515 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc54
+bins:
+- pol: 0.0001235
+  lumi: 0.0005
+  sys_0: -4.487764521003347e-05
+  sys_1: 6.776294327346385e-05
+  sys_2: -4.475375173210361e-08
+  sys_3: -7.288127908631825e-08
+  sys_4: -1.0323936913318263e-07
+  sys_5: 6.772707946976846e-05
+  sys_6: 5.007464996784911e-07
+  sys_7: 5.929374500752339e-07
+  sys_8: 8.472419299650328e-05
+  sys_9: 1.6447911154932662e-05
+  sys_10: -6.839795439960895e-05
+  sys_11: -1.2072006852373766e-06
+  sys_12: 7.021870471994489e-06
+  sys_13: -4.6537346925967824e-05
+  sys_14: 8.224920326433771e-05
+  sys_15: -0.00012536530768975928
+  sys_16: -4.339701951119786e-07
+  sys_17: -7.141506342442378e-06
+  sys_18: -8.083269445668926e-05
+  sys_19: -0.0001951233060699699
+  sys_20: 6.338734683925385e-05
+  sys_21: -0.0009768590346119592
+  sys_22: -0.007204696849904446
+  sys_23: -7.494840214607478e-05
+  sys_24: -0.00014963393881897594
+  sys_25: -6.448416482614003e-05
+  sys_26: 7.134181533413e-06
+  sys_27: -4.468400469827907e-05
+  sys_28: 3.0860938166506564e-05
+  sys_29: 4.066112316128444e-05
+  sys_30: -4.5776867343968135e-05
+  sys_31: -2.0911022416779835e-05
+  sys_32: 3.569768622622148e-05
+  sys_33: 7.407826135554369e-06
+  sys_34: 1.2205305139498532e-05
+  sys_35: -9.967646610683369e-06
+  sys_36: -1.0804594799401085e-05
+  sys_37: -7.805715662876204e-06
+  sys_38: 1.7842256334993373e-06
+  sys_39: 4.3153341823622435e-06
+  sys_40: 6.438121316427456e-06
+  sys_41: 3.60545328247151e-07
+  sys_42: 4.4392127489967315e-06
+  sys_43: -1.7296876522684008e-06
+  sys_44: -1.8241776447359484e-06
+  sys_45: 1.9024629962920555e-06
+  sys_46: -2.8868156846663017e-06
+  sys_47: 3.641971953253595e-06
+  sys_48: -5.646766855556967e-06
+  sys_49: 6.813857622443723e-06
+  sys_50: 7.177985209728573e-07
+  sys_51: 4.1107074359027654e-06
+  sys_52: 5.412699908747443e-06
+  sys_53: -6.900525625017889e-06
+  sys_54: -9.746578040396577e-07
+- pol: 0.0004485
+  lumi: 0.0005
+  sys_0: -7.591357043922539e-05
+  sys_1: 0.00010691588019715641
+  sys_2: -8.001784119929725e-08
+  sys_3: -9.802442709029202e-08
+  sys_4: -1.5082926966769532e-07
+  sys_5: 9.923874518601764e-05
+  sys_6: 7.496399690236311e-07
+  sys_7: 8.76612587812162e-07
+  sys_8: 0.0001302568722127064
+  sys_9: 2.6246554797873474e-05
+  sys_10: -0.00010948465980482622
+  sys_11: -1.6202126563722838e-06
+  sys_12: 1.0439064079969871e-05
+  sys_13: -6.962278212613307e-05
+  sys_14: 0.00012294481970626477
+  sys_15: -0.0001992703954252917
+  sys_16: -1.64452595951945e-06
+  sys_17: -9.03418159640951e-06
+  sys_18: -0.0001340913304423088
+  sys_19: -0.0003166435824641524
+  sys_20: 0.00010368147250168464
+  sys_21: -0.007310296096863622
+  sys_22: 0.0009841167563202282
+  sys_23: -7.781681763856134e-05
+  sys_24: -0.0002423047784970487
+  sys_25: -0.00014200396903434864
+  sys_26: 4.922426172234378e-07
+  sys_27: -6.348188421475927e-05
+  sys_28: 3.837368180823679e-05
+  sys_29: 6.106377102479592e-05
+  sys_30: -7.06917305261564e-05
+  sys_31: -2.685755638965519e-05
+  sys_32: 4.7323477348822444e-05
+  sys_33: 1.2676361298561961e-05
+  sys_34: 4.003690356885349e-05
+  sys_35: -4.660859596762982e-06
+  sys_36: -1.2509717361004361e-05
+  sys_37: -5.322117332404485e-06
+  sys_38: -1.5076897108891833e-06
+  sys_39: 1.3816767797450745e-05
+  sys_40: 9.260946565966899e-06
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+  sys_42: 4.131185927922603e-06
+  sys_43: -1.3981520758021911e-06
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+  sys_46: -1.6014439878353352e-06
+  sys_47: 1.1905280127134495e-05
+  sys_48: -6.04982725487401e-06
+  sys_49: 1.3480537489503307e-05
+  sys_50: 1.0161650639645577e-07
+  sys_51: 1.3996075187030057e-05
+  sys_52: 6.489943201972611e-06
+  sys_53: -6.990601289143394e-06
+  sys_54: -9.524187785711739e-07
+- pol: 0.001378
+  lumi: 0.0005
+  sys_0: -0.00012545248655006293
+  sys_1: 0.00018134197418026677
+  sys_2: -1.246452624123066e-07
+  sys_3: -1.8349307540531249e-07
+  sys_4: -2.8235488347490455e-07
+  sys_5: 0.00017702230712274546
+  sys_6: 1.3953672180265016e-06
+  sys_7: 1.5250474659787819e-06
+  sys_8: 0.00026380826253549565
+  sys_9: 5.631703691358546e-05
+  sys_10: -0.00023159800959980474
+  sys_11: -6.032662154555042e-06
+  sys_12: 3.6113575655598105e-05
+  sys_13: -0.0003575772872949042
+  sys_14: 0.0007156154026702314
+  sys_15: -0.006096597817930245
+  sys_16: -0.008024871606708176
+  sys_17: -1.3679021737600494e-06
+  sys_18: 0.00010768135812623616
+  sys_19: 0.00031236145334555
+  sys_20: -1.9997551760704497e-05
+  sys_21: 0.00010227767393602877
+  sys_22: 4.524653902676136e-05
+  sys_23: 3.0188742242186744e-06
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml
new file mode 100644
index 0000000000..bfcea5c5f4
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml
@@ -0,0 +1,629 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc54
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml
new file mode 100644
index 0000000000..7988a2b781
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml
@@ -0,0 +1,629 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc54
+bins:
+- pol: 0.000221
+  lumi: 0.0005
+  sys_0: -9.493291876578652e-05
+  sys_1: 0.00013724028386582747
+  sys_2: 4.266842937564774e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_OS.yaml
new file mode 100644
index 0000000000..af41072000
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_OS.yaml
@@ -0,0 +1,8 @@
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_SS.yaml
new file mode 100644
index 0000000000..0adfd014d1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_SS.yaml
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml
new file mode 100644
index 0000000000..7ad694d6b5
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml
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+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 48.79
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 67.32
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml
new file mode 100644
index 0000000000..cc0479a1c9
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml
@@ -0,0 +1,85 @@
+bins:
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 17.7
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 21.34
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 26.02
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 31.66
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 38.25
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 48.28
+    min: null
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: null
+    mid: 66.65
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml
new file mode 100644
index 0000000000..951800568a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml
@@ -0,0 +1,92 @@
+setname: "STAR_2009_2JET_MIDRAP_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "DIJET"
+
+arXiv:
+  url: https://arxiv.org/pdf/1610.06616
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1493842"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1493842"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable:
+      {
+        description: 'ALL as function of $M_{inv}$, opposite sign $\eta$ topology',
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: OS-ALL
+    process_type: DIJET_POL
+    ndata: 7
+    tables: [9]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_OS.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_OS.yaml
+    data_uncertainties:
+      - uncertainties_OS.yaml
+    plotting:
+      dataset_label: 'STAR 200 GeV (2009) DIJET $A_{LL}$, opposite sign $\eta$ topology'
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL-POL
+        - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: 'ALL as function of $M_{inv}$, same sign $\eta$ topology',
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: SS-ALL
+    process_type: DIJET_POL
+    ndata: 7
+    tables: [7]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_SS.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_SS.yaml
+    data_uncertainties:
+      - uncertainties_SS.yaml
+    plotting:
+      dataset_label: 'STAR 200 GeV (2009) DIJET $A_{LL}$, same sign $\eta$ topology'
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL-POL
+        - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL-UNPOL
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_OS.yaml
new file mode 100644
index 0000000000..17a08d70f9
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_OS.yaml
@@ -0,0 +1,81 @@
+dependent_variables:
+- header: {name: DIJET MASS, units: GEV}
+  qualifiers:
+  - {name: JET ALGORITHM, value: Anti-kT R = 0.6}
+  - {name: PHASE SPACE, value: '|ETA_1,ETA_2| < 0.8'}
+  - {name: RE, value: P P --> JET JET X}
+  - {name: SQRT(s), value: 200 GEV}
+  values:
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 0.54}
+    value: 17.99
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 0.96}
+    value: 21.58
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.32}
+    value: 26.29
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.72}
+    value: 31.72
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.7}
+    value: 38.38
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 2.07}
+    value: 48.79
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 3.35}
+    value: 67.32
+- header: {name: ASYMMETRY}
+  qualifiers:
+  - {name: JET ALGORITHM, value: Anti-kT R = 0.6}
+  - {name: PHASE SPACE, value: Sign(ETA_1) != Sign(ETA_2)}
+  - {name: RE, value: P P --> JET JET X}
+  - {name: SQRT(s), value: 200 GEV}
+  values:
+  - errors:
+    - {label: stat, symerror: 0.0039}
+    - {label: sys, symerror: 0.0005}
+    value: 0.0059
+  - errors:
+    - {label: stat, symerror: 0.0032}
+    - {label: sys, symerror: 0.0006}
+    value: 0.0096
+  - errors:
+    - {label: stat, symerror: 0.0037}
+    - {label: sys, symerror: 0.0007}
+    value: 0.0068
+  - errors:
+    - {label: stat, symerror: 0.005}
+    - {label: sys, symerror: 0.0009}
+    value: 0.0151
+  - errors:
+    - {label: stat, symerror: 0.0077}
+    - {label: sys, symerror: 0.0013}
+    value: 0.0083
+  - errors:
+    - {label: stat, symerror: 0.0109}
+    - {label: sys, symerror: 0.0022}
+    value: 0.0092
+  - errors:
+    - {label: stat, symerror: 0.034}
+    - {label: sys, symerror: 0.0036}
+    value: -0.0282
+independent_variables:
+- header: {name: Bin}
+  values:
+  - {value: 8.0}
+  - {value: 9.0}
+  - {value: 10.0}
+  - {value: 11.0}
+  - {value: 12.0}
+  - {value: 13.0}
+  - {value: 14.0}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_SS.yaml
new file mode 100644
index 0000000000..00e274aa76
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_SS.yaml
@@ -0,0 +1,81 @@
+dependent_variables:
+- header: {name: DIJET MASS, units: GEV}
+  qualifiers:
+  - {name: JET ALGORITHM, value: Anti-kT R = 0.6}
+  - {name: PHASE SPACE, value: '|ETA_1,ETA_2| < 0.8'}
+  - {name: RE, value: P P --> JET JET X}
+  - {name: SQRT(s), value: 200 GEV}
+  values:
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 0.56}
+    value: 17.7
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.07}
+    value: 21.34
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.33}
+    value: 26.02
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.39}
+    value: 31.66
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 1.79}
+    value: 38.25
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 2.17}
+    value: 48.28
+  - errors:
+    - {label: stat, symerror: 0.0}
+    - {label: sys, symerror: 2.56}
+    value: 66.65
+- header: {name: ASYMMETRY}
+  qualifiers:
+  - {name: JET ALGORITHM, value: Anti-kT R = 0.6}
+  - {name: PHASE SPACE, value: Sign(ETA_1) = Sign(ETA_2)}
+  - {name: RE, value: P P --> JET JET X}
+  - {name: SQRT(s), value: 200 GEV}
+  values:
+  - errors:
+    - {label: stat, symerror: 0.0034}
+    - {label: sys, symerror: 0.0004}
+    value: 0.0067
+  - errors:
+    - {label: stat, symerror: 0.0032}
+    - {label: sys, symerror: 0.0005}
+    value: 0.0088
+  - errors:
+    - {label: stat, symerror: 0.0039}
+    - {label: sys, symerror: 0.0006}
+    value: 0.0162
+  - errors:
+    - {label: stat, symerror: 0.0056}
+    - {label: sys, symerror: 0.001}
+    value: 0.0024
+  - errors:
+    - {label: stat, symerror: 0.0089}
+    - {label: sys, symerror: 0.0015}
+    value: 0.013
+  - errors:
+    - {label: stat, symerror: 0.0133}
+    - {label: sys, symerror: 0.0024}
+    value: 0.0336
+  - errors:
+    - {label: stat, symerror: 0.046}
+    - {label: sys, symerror: 0.0041}
+    value: 0.0755
+independent_variables:
+- header: {name: Bin}
+  values:
+  - {value: 1.0}
+  - {value: 2.0}
+  - {value: 3.0}
+  - {value: 4.0}
+  - {value: 5.0}
+  - {value: 6.0}
+  - {value: 7.0}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml
new file mode 100644
index 0000000000..93521c42a2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml
@@ -0,0 +1,629 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc54
+bins:
+- pol: 0.0003835
+  lumi: 0.0005
+  sys_0: -2.0070690602974216e-09
+  sys_1: 2.8611672427228102e-08
+  sys_2: 4.2896744472587744e-06
+  sys_3: 2.819444982608877e-07
+  sys_4: -9.127771282567537e-06
+  sys_5: 1.8129696800612663e-08
+  sys_6: -7.594486431755823e-06
+  sys_7: 3.100627999563582e-06
+  sys_8: 2.808709307282868e-07
+  sys_9: 1.7866872519239872e-06
+  sys_10: 3.1699066642131643e-07
+  sys_11: -7.319951621518738e-06
+  sys_12: 9.368502190742696e-06
+  sys_13: -2.062583442242023e-05
+  sys_14: -1.6727963772423892e-05
+  sys_15: -1.9349825677702605e-06
+  sys_16: -1.076094187008913e-06
+  sys_17: 6.582557689157397e-06
+  sys_18: 1.8397504562606584e-05
+  sys_19: -7.242341005103075e-06
+  sys_20: -2.3314567868111953e-05
+  sys_21: -5.796552314458929e-06
+  sys_22: -1.2677412346491513e-05
+  sys_23: 1.685675480863622e-05
+  sys_24: 5.915076633935533e-06
+  sys_25: -1.6394095535473937e-06
+  sys_26: 2.9503664370040805e-05
+  sys_27: -1.7562473921296347e-05
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+  sys_29: -3.526730311227529e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml
new file mode 100644
index 0000000000..6d2ed1a16f
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml
@@ -0,0 +1,629 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2009POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2009LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2009JETunc19
+  sys_20:
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+    type: STAR2009JETunc20
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+    type: STAR2009JETunc21
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+    type: STAR2009JETunc22
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+    type: STAR2009JETunc23
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+    type: STAR2009JETunc24
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+    type: STAR2009JETunc25
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+    type: STAR2009JETunc26
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+    type: STAR2009JETunc28
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+    type: STAR2009JETunc35
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+    type: STAR2009JETunc36
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+    treatment: ADD
+    type: STAR2009JETunc53
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+    type: STAR2009JETunc54
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+  sys_3: 0.02082073324726161
+  sys_4: 0.00540404430181898
+  sys_5: 9.125186692559913e-06
+  sys_6: -0.005442779476393657
+  sys_7: 0.001534951991851094
+  sys_8: -5.406384573764437e-07
+  sys_9: -0.0009933094958683207
+  sys_10: -0.0002241932967889574
+  sys_11: -0.0005108274897183757
+  sys_12: -0.00012587537248200223
+  sys_13: -0.00013955250598919722
+  sys_14: -8.679893758369106e-05
+  sys_15: -4.318377836121957e-06
+  sys_16: 2.1599555590776783e-07
+  sys_17: -4.1517375729476716e-05
+  sys_18: 0.00010956286015040405
+  sys_19: -3.473094610735384e-05
+  sys_20: -1.4127739861044218e-05
+  sys_21: -2.3135032901655283e-06
+  sys_22: -1.148723708927996e-06
+  sys_23: 2.3370786789945835e-05
+  sys_24: 2.787077508844311e-06
+  sys_25: 1.6488638600525228e-06
+  sys_26: -3.9177071459464075e-06
+  sys_27: -1.0743371749885383e-06
+  sys_28: -9.84691950255215e-06
+  sys_29: -1.9833094929828224e-05
+  sys_30: 2.0899281353493567e-05
+  sys_31: 6.649730909568422e-06
+  sys_32: -1.5755838610603534e-06
+  sys_33: -1.6006258232858134e-05
+  sys_34: 5.115016724538681e-06
+  sys_35: 6.850030180857224e-08
+  sys_36: -1.9746487335832137e-06
+  sys_37: -5.064178900521006e-07
+  sys_38: -1.5364179170256934e-06
+  sys_39: -3.872252042783669e-06
+  sys_40: 5.253867234223082e-07
+  sys_41: -9.277383719802631e-07
+  sys_42: -6.126622792770463e-07
+  sys_43: -1.8873070995916441e-07
+  sys_44: 5.570752965623039e-08
+  sys_45: 2.804371869898015e-07
+  sys_46: -2.7537327727124625e-07
+  sys_47: -4.019236265125793e-07
+  sys_48: 2.1754650250370236e-07
+  sys_49: -1.8662544883500077e-07
+  sys_50: -4.319177183898664e-08
+  sys_51: -3.0596987859297205e-07
+  sys_52: -2.1576141744187774e-07
+  sys_53: 1.655365569083554e-07
+  sys_54: -2.6227567542193994e-08
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml
new file mode 100644
index 0000000000..7922dfd3e0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml
@@ -0,0 +1,15 @@
+data_central:
+- 1.71e-05
+- -0.00215
+- 0.00162
+- 0.0005
+- 0.00148
+- 0.00293
+- 0.00158
+- 0.00445
+- 0.00496
+- 0.0036
+- 0.0169
+- -0.00492
+- 0.0122
+- 0.00177
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py
new file mode 100644
index 0000000000..ff41a0d9e1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py
@@ -0,0 +1,332 @@
+"""This script provides the common filer to the jet and dijet STAR 2012 datasets.
+Files need to be parsed all together as there are correlations provided. 
+"""
+import pathlib
+import math
+
+import numpy as np
+import pandas as pd
+import yaml
+
+from nnpdf_data.filter_utils.correlations import (
+    compute_covmat,
+    upper_triangular_to_symmetric,
+)
+
+# values from the paper https://arxiv.org/abs/1906.02740
+SQRTS = 510
+YEAR = 2012
+POL_UNC = 0.066
+TOPOPLOGY_LIST = ["I", "A", "B", "C", "D"]
+
+HERE = pathlib.Path(__file__).parent
+RAWDATA_PATH = HERE / "rawdata/"
+
+# NOTE: the observable is symmetric for jet1 and jet2, 
+# so 1 and 2 are not ordered in pT.
+TOPO_DEF = {
+    "A": {
+        "abs_eta1_min": 0.3,
+        "abs_eta1_max": 0.9,
+        "abs_eta2_min": 0.3,
+        "abs_eta2_max": 0.9,
+    },
+    "B": {
+        "abs_eta1_min": 0,
+        "abs_eta1_max": 0.3,
+        "abs_eta2_min": 0.3,
+        "abs_eta2_max": 0.9,
+    },
+    "C": {
+        "abs_eta1_min": 0,
+        "abs_eta1_max": 0.3,
+        "abs_eta2_min": 0,
+        "abs_eta2_max": 0.3,
+    },
+    "D": {
+        "abs_eta1_min": 0.3,
+        "abs_eta1_max": 0.9,
+        "abs_eta2_min": 0.3,
+        "abs_eta2_max": 0.9,
+    },
+    "I": {"abs_eta_min": 0, "abs_eta_max": 0.9},
+}
+
+
+def read_1jet_data():
+    data_table = pathlib.Path(RAWDATA_PATH / "Figure12(Run12).csv")
+
+    with open(data_table, "r", encoding="utf-8") as file:
+        all_data = pd.read_csv(file, delimiter=",", skiprows=6)
+
+    df = pd.DataFrame()
+    df["pT"] = all_data["Parton Jet $p_{T}$ [GeV/c]"]
+    df["pT_min"] = all_data["Parton Jet $p_{T}$ [GeV/c] LOW"]
+    df["pT_max"] = all_data["Parton Jet $p_{T}$ [GeV/c] HIGH"]
+    df["eta"] = 0.0
+    df["eta_min"] = -TOPO_DEF["I"]["abs_eta_max"]
+    df["eta_max"] = +TOPO_DEF["I"]["abs_eta_max"]
+    df["sqrts"] = SQRTS
+    df["ALL"] = all_data["Inclusive Jet $A_{LL}$"]
+    df["stat"] = all_data["stat +"]
+    df["syst"] = all_data["sys +"]
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    df["lumi_ue"] = all_data["UE/RL sys +"]
+
+    print("1JET data loaded. Npoint: ", len(df))
+    return df
+
+
+def read_2jet_data(topology):
+    data_table = RAWDATA_PATH / f"Figure14(b,{topology},data).csv"
+
+    with open(data_table, "r", encoding="utf-8") as file:
+        all_data = pd.read_csv(file, delimiter=",", skiprows=6)
+
+    df = pd.DataFrame()
+    df["mjj"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$]"]
+    df["mjj_min"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW"]
+    df["mjj_max"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH"]
+
+    for p in ["1", "2"]:
+        df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_min"]
+        df[f"abs_eta{p}_max"] = TOPO_DEF[topology][f"abs_eta{p}_max"]
+        df[f"abs_eta{p}"] = (df[f"abs_eta{p}_min"] + df[f"abs_eta{p}_max"]) / 2
+
+    df["sqrts"] = SQRTS
+    df["ALL"] = all_data[r"DiJet $A_{LL}$"]
+    df["stat"] = all_data[r"stat +"]
+    df["syst"] = all_data[r"sys +"]
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    df["lumi_ue"] = all_data["UE/RL sys +"]
+    print(f"2JET {topology} data loaded. Npoint: ", len(df))
+    return df
+
+
+def read_correlations(ndata_dict):
+    """Read the correlation files and build a big matix"""
+    corr_rows = []
+    # loop on block rows
+    for a, ndata_a in ndata_dict.items():
+        la = [a for _ in range(ndata_a)]
+        corr_row = pd.DataFrame()
+        # loop on block columns
+        for b, ndata_b in ndata_dict.items():
+            lb = [b for _ in range(ndata_b)]
+            # build the block
+            try:
+                with open(RAWDATA_PATH / f"corr{a}Vs{b}.tex", encoding="utf-8") as file:
+                    corr_df = pd.read_csv(
+                        file, sep="&", skiprows=3, skipfooter=3, engine="python"
+                    )
+
+                    # add some parsing
+                    corr_vals = []
+                    for val in corr_df.values.flatten():
+                        if val is None:
+                            continue
+                        if isinstance(val, str):
+                            val = val.replace("\\", "")
+                            try:
+                                val = float(val)
+                            except ValueError:
+                                continue
+                        if not math.isnan(val):
+                            corr_vals.append(val)
+
+                if a == b:
+                    corr = upper_triangular_to_symmetric(corr_vals, ndata_a)
+                else:
+                    corr = np.array(corr_vals).reshape((ndata_a, ndata_b))
+            except FileNotFoundError:
+                corr = pd.DataFrame(np.zeros((ndata_a, ndata_b)), index=la, columns=lb)
+
+            corr = pd.DataFrame(corr, index=la, columns=lb)
+            corr_row = pd.concat([corr_row, corr], axis=1)
+        corr_rows.append(corr_row)
+
+    tot_corr = pd.concat(corr_rows)
+    if not np.allclose(tot_corr, np.triu(tot_corr)):
+        raise ValueError("Correlation matrix not read correctly")
+    return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),)))
+
+
+def write_1jet_data(df, art_sys):
+    STORE_PATH = HERE
+
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pT_min"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pT_max"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "eta": {
+                "min": float(df.loc[i, "eta_min"]),
+                "mid": float(df.loc[i, "eta"]),
+                "max": float(df.loc[i, "eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "lumi_ue": {
+            "description": "underlying event and relative luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMIUE",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {
+            "lumi_ue": float(df.loc[i, "lumi_ue"]),
+            "pol": float(df.loc[i, "pol"]),
+        }
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+        error.append(e)
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+def write_2jet_data(df, topology, art_sys):
+    STORE_PATH = HERE / f"../STAR_{YEAR}_2JET_{SQRTS}GEV/"
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "m_jj": {
+                "min": float(df.loc[i, "mjj_min"]),
+                "mid": float(df.loc[i, "mjj"]),
+                "max": float(df.loc[i, "mjj_max"]),
+            },
+            # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "abs_eta_1": {
+                "min": float(df.loc[i, "abs_eta1_min"]),
+                "mid": float(df.loc[i, "abs_eta1"]),
+                "max": float(df.loc[i, "abs_eta1_max"]),
+            },
+            "abs_eta_2": {
+                "min": float(df.loc[i, "abs_eta2_min"]),
+                "mid": float(df.loc[i, "abs_eta2"]),
+                "max": float(df.loc[i, "abs_eta2_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(
+        STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "lumi_ue": {
+            "description": "underlying event and relative luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMIUE",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {
+            "lumi_ue": float(df.loc[i, "lumi_ue"]),
+            "pol": float(df.loc[i, "pol"]),
+        }
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+        error.append(e)
+
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(
+        STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # load all the data
+    dfs = {"I": read_1jet_data()}
+    for topo in TOPOPLOGY_LIST[1:]:
+        dfs[topo] = read_2jet_data(topo)
+
+    # load correlations
+    ndata_dict = {a: len(b) for a, b in dfs.items()}
+    correlation_df = read_correlations(ndata_dict)
+    # sum stat and syst for both jet and dijets as recommended
+    # by E.Aschenauer, see https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662
+    correlated_unc = []
+    for a in TOPOPLOGY_LIST:
+        correlated_unc.extend(
+            np.sqrt(dfs[a]["syst"] ** 2 + dfs[a]["stat"] ** 2).values.tolist()
+        )
+    ndata_points = np.sum((*ndata_dict.values(),))
+    # decompose uncertainties
+    art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points))
+
+    # write data
+    cnt = 0
+    for topo, df in dfs.items():
+        ndata = ndata_dict[topo]
+        syst = art_sys[cnt : cnt + ndata, :].tolist()
+        if topo == "I":
+            write_1jet_data(df, syst)
+        else:
+            write_2jet_data(df, topo, syst)
+        cnt += ndata
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml
new file mode 100644
index 0000000000..680a8a3950
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml
@@ -0,0 +1,169 @@
+bins:
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 7.282
+    mid: 7.02
+    min: 6.758
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 8.267
+    mid: 7.97
+    min: 7.673
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 10.26
+    mid: 9.9
+    min: 9.54
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 12.002
+    mid: 11.6
+    min: 11.198
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 13.865
+    mid: 13.4
+    min: 12.935
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 16.1
+    mid: 15.6
+    min: 15.1
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 19.599
+    mid: 19.0
+    min: 18.401
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 22.829
+    mid: 22.200000000000003
+    min: 21.571
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 26.441
+    mid: 25.7
+    min: 24.959
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 30.533
+    mid: 29.700000000000003
+    min: 28.867
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 35.349
+    mid: 34.4
+    min: 33.451
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 40.78
+    mid: 39.7
+    min: 38.62
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 47.54
+    mid: 46.3
+    min: 45.06
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 55.29
+    mid: 53.8
+    min: 52.31
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml
new file mode 100644
index 0000000000..cc03bd80e2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml
@@ -0,0 +1,59 @@
+setname: "STAR_2012_1JET_510GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+iNSPIRE:
+  url:  "https://inspirehep.net/literature/1738738"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1738738"
+  version: 1
+arXiv:
+  url: https://arxiv.org/abs/1906.02740
+
+version: 1
+version_comment: "Initial implementation, correlations from arXiv"
+
+implemented_observables:
+  - observable:
+      {
+        description: "$A_{LL}$ as function of $p_T$",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: ALL
+    process_type: JET_POL
+    ndata: 14
+    tables: [12]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        eta: { description: "pseudorapidity", label: '$\eta$', units: "" }
+      file: kinematics.yaml
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+    kinematic_coverage: [pT, sqrts, eta]
+    plotting:
+      dataset_label: "STAR 510 GeV (2012) 1-JET $A_{LL}$"
+      kinematics_override: identity
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2012_1JET_510GEV_ALL-POL
+        - - STAR_2012_1JET_510GEV_ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv
new file mode 100644
index 0000000000..3eabe1e964
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv
@@ -0,0 +1,22 @@
+#: table_doi: 10.17182/hepdata.105278.v1/t29
+#: name: Figure 12 (Run12)
+#: description: the inclusive jet asymmetries and systematic uncertainties,as function of pT compared to the theoretical predictions (Run12)
+#: data_file: fig12_run12_input_yaml.yaml
+#: keyword cmenergies: 510.0
+#: Parton Jet $p_{T}$ [GeV/c],,,Inclusive Jet $A_{LL}$, 510GeV, Run12, R=0.5,$\vert \eta \vert$ < 0.9
+Parton Jet $p_{T}$ [GeV/c],Parton Jet $p_{T}$ [GeV/c] LOW,Parton Jet $p_{T}$ [GeV/c] HIGH,Inclusive Jet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys -
+7.02,6.758,7.282,1.71e-05,0.00132,-0.00132,0.000132,-0.000132,0.000364,-0.000364
+7.97,7.673,8.267,-0.00215,0.0014,-0.0014,0.000485,-0.000485,0.000326,-0.000326
+9.899999999999999,9.54,10.26,0.00162,0.00101,-0.00101,0.000109,-0.000109,0.000311,-0.000311
+11.600000000000001,11.198,12.002,0.0005,0.00112,-0.00112,8.01e-05,-8.01e-05,0.000284,-0.000284
+13.4,12.935,13.865,0.00148,0.00129,-0.00129,0.000106,-0.000106,0.000272,-0.000272
+15.600000000000001,15.1,16.1,0.00293,0.00159,-0.00159,0.000159,-0.000159,0.000256,-0.000256
+19.0,18.401,19.599,0.00158,0.00158,-0.00158,0.000139,-0.000139,0.000251,-0.000251
+22.200000000000003,21.571,22.829,0.00445,0.00181,-0.00181,0.000228,-0.000228,0.000246,-0.000246
+25.7,24.959,26.441,0.00496,0.00214,-0.00214,0.000177,-0.000177,0.000239,-0.000239
+29.700000000000003,28.867,30.533,0.0036,0.00273,-0.00273,0.000251,-0.000251,0.000234,-0.000234
+34.4,33.451,35.349,0.0169,0.00372,-0.00372,0.000376,-0.000376,0.000231,-0.000231
+39.7,38.62,40.78,-0.00492,0.00537,-0.00537,0.000336,-0.000336,0.000229,-0.000229
+46.3,45.06,47.54,0.0122,0.00836,-0.00836,0.000687,-0.000687,0.000227,-0.000227
+53.8,52.31,55.29,0.00177,0.0137,-0.0137,0.000813,-0.000813,0.000226,-0.000226
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv
new file mode 100644
index 0000000000..7774167103
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv
@@ -0,0 +1,18 @@
+#: table_doi: 10.17182/hepdata.105278.v1/t53
+#: name: Figure 14 (b,A,data)
+#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,A,data)
+#: data_file: fig14_b_data_A_input_yaml.yaml
+#: keyword cmenergies: 510.0
+#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, A, data
+Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys -
+19.04,18.22,19.86,-0.0128,0.0066,-0.0066,0.0002,-0.0002,0.00025,-0.00025
+21.619999999999997,20.66,22.58,0.009,0.0052,-0.0052,0.0002,-0.0002,0.00058,-0.00058
+26.380000000000003,25.3,27.46,0.0079,0.005,-0.005,0.0004,-0.0004,0.00062,-0.00062
+32.3,31.14,33.46,-0.0012,0.0052,-0.0052,0.0004,-0.0004,0.00056,-0.00056
+38.42,37.22,39.62,0.0101,0.0061,-0.0061,0.0004,-0.0004,0.00051,-0.00051
+45.18,43.7,46.66,-0.0013,0.0064,-0.0064,0.0006,-0.0006,0.00046,-0.00046
+53.42,51.87,54.97,0.0048,0.0081,-0.0081,0.0009,-0.0009,0.00044,-0.00044
+63.519999999999996,61.72,65.32,0.0052,0.0108,-0.0108,0.001,-0.001,0.00037,-0.00037
+75.55000000000001,73.34,77.76,0.0363,0.0167,-0.0167,0.002,-0.002,0.00037,-0.00037
+89.12,86.74,91.5,-0.0218,0.0264,-0.0264,0.0048,-0.0048,0.00031,-0.00031
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv
new file mode 100644
index 0000000000..5acdc8e0c6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv
@@ -0,0 +1,19 @@
+#: table_doi: 10.17182/hepdata.105278.v1/t54
+#: name: Figure 14 (b,B,data)
+#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,B,data)
+#: data_file: fig14_b_data_B_input_yaml.yaml
+#: keyword cmenergies: 510.0
+#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, B, data
+Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys -
+18.799999999999997,17.99,19.61,-0.0023,0.0053,-0.0053,0.0002,-0.0002,0.0004,-0.0004
+21.799999999999997,20.86,22.74,0.0041,0.0036,-0.0036,0.0003,-0.0003,0.00063,-0.00063
+26.37,25.28,27.46,0.0016,0.0033,-0.0033,0.0003,-0.0003,0.00041,-0.00041
+32.24,31.17,33.31,0.0029,0.0034,-0.0034,0.0004,-0.0004,0.00043,-0.00043
+38.42,37.11,39.73,-0.0063,0.004,-0.004,0.0005,-0.0005,0.00035,-0.00035
+45.83,44.42,47.24,0.002,0.0041,-0.0041,0.0007,-0.0007,0.00036,-0.00036
+54.14,52.45,55.83,0.0128,0.005,-0.005,0.0008,-0.0008,0.0003,-0.0003
+64.17,62.34,66,-0.0022,0.0065,-0.0065,0.0011,-0.0011,0.00031,-0.00031
+76.06,73.93,78.19,-0.001,0.0096,-0.0096,0.0014,-0.0014,0.00028,-0.00028
+89.81,87.33,92.29,-0.016,0.0143,-0.0143,0.002,-0.002,0.00026,-0.00026
+107.92,105.03,110.81,-0.0205,0.0242,-0.0242,0.0027,-0.0027,0.00026,-0.00026
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv
new file mode 100644
index 0000000000..7ebe2ca958
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv
@@ -0,0 +1,18 @@
+#: table_doi: 10.17182/hepdata.105278.v1/t55
+#: name: Figure 14 (b,C,data)
+#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,C,data)
+#: data_file: fig14_b_data_C_input_yaml.yaml
+#: keyword cmenergies: 510.0
+#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, C, data
+Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys -
+19.810000000000002,19,20.62,0.0058,0.0085,-0.0085,0.0002,-0.0002,0.00026,-0.00026
+22.009999999999998,20.89,23.13,-0.0006,0.0066,-0.0066,0.0006,-0.0006,0.00063,-0.00063
+26.159999999999997,25.08,27.24,-0.0043,0.0062,-0.0062,0.0004,-0.0004,0.00074,-0.00074
+32.7,31.51,33.89,0.0049,0.0065,-0.0065,0.0006,-0.0006,0.00078,-0.00078
+38.709999999999994,37.37,40.05,0.0046,0.0077,-0.0077,0.0007,-0.0007,0.00081,-0.00081
+46.01,44.65,47.37,0.0155,0.0079,-0.0079,0.0006,-0.0006,0.00052,-0.00052
+53.89,52.11,55.67,-0.0045,0.0098,-0.0098,0.0012,-0.0012,0.00053,-0.00053
+64.75,63.01,66.49,0.0104,0.0127,-0.0127,0.0014,-0.0014,0.00041,-0.00041
+77.15,74.88,79.42,0.0346,0.0192,-0.0192,0.0019,-0.0019,0.00041,-0.00041
+91.14,88.56,93.72,0.0593,0.0294,-0.0294,0.0073,-0.0073,0.00041,-0.00041
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv
new file mode 100644
index 0000000000..e83c815db6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv
@@ -0,0 +1,19 @@
+#: table_doi: 10.17182/hepdata.105278.v1/t56
+#: name: Figure 14 (b,D,data)
+#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,D,data)
+#: data_file: fig14_b_data_D_input_yaml.yaml
+#: keyword cmenergies: 510.0
+#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, D, data
+Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys -
+20.54,18.4,22.68,0.0054,0.0161,-0.0161,0.0002,-0.0002,0.00131,-0.00131
+22.09,21.14,23.04,0.0042,0.0051,-0.0051,0.0002,-0.0002,0.00022,-0.00022
+26.31,25.33,27.29,0.0051,0.005,-0.005,0.0003,-0.0003,0.00072,-0.00072
+31.72,30.5,32.94,-0.0031,0.0059,-0.0059,0.0003,-0.0003,0.00052,-0.00052
+38.480000000000004,37.17,39.79,-0.0018,0.006,-0.006,0.0004,-0.0004,0.00054,-0.00054
+45.209999999999994,43.66,46.76,-0.004,0.007,-0.007,0.0005,-0.0005,0.00044,-0.00044
+54.150000000000006,52.46,55.84,0.0034,0.0087,-0.0087,0.0008,-0.0008,0.00044,-0.00044
+64.3,62.38,66.22,0.005,0.0123,-0.0123,0.0011,-0.0011,0.00036,-0.00036
+76.66,74.51,78.81,0.0058,0.0178,-0.0178,0.0024,-0.0024,0.00036,-0.00036
+89.57,86.95,92.19,0.0291,0.0296,-0.0296,0.0014,-0.0014,0.00036,-0.00036
+106.86,103.89,109.83,-0.0055,0.0461,-0.0461,0.0028,-0.0028,0.00029,-0.00029
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex
new file mode 100644
index 0000000000..efcf99dcb1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& A1 & A2 & A3 & A4 & A5 & A6 & A7 & A8 & A9 & A10 \\ 
+\hline 
+A1	&  1 &  0.003 &  0.004 &  0.004 &  0.004 &  0.004 &  0.004 &  0.003 &  0.004 &  0.006 \\  
+A2	&   &  1 &  0.015 &  0.013 &  0.011 &  0.011 &  0.010 &  0.007 &  0.007 &  0.009 \\  
+A3	&   &   &  1 &  0.016 &  0.014 &  0.014 &  0.013 &  0.010 &  0.011 &  0.014 \\  
+A4	&   &   &   &  1 &  0.012 &  0.013 &  0.012 &  0.009 &  0.010 &  0.013 \\  
+A5	&   &   &   &   &  1 &  0.011 &  0.011 &  0.009 &  0.010 &  0.013 \\  
+A6	&   &   &   &   &   &  1 &  0.013 &  0.010 &  0.012 &  0.017 \\  
+A7	&   &   &   &   &   &   &  1 &  0.012 &  0.014 &  0.020 \\  
+A8	&   &   &   &   &   &   &   &  1 &  0.012 &  0.017 \\  
+A9	&   &   &   &   &   &   &   &   &  1 &  0.021 \\  
+A10	&   &   &   &   &   &   &   &   &   &  1 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex
new file mode 100644
index 0000000000..84ff964010
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& B1 & B2 & B3 & B4 & B5 & B6 & B7 & B8 & B9 & B10 & B11 \\ 
+\hline 
+A1	&  0.001 &  0.002 &  0.003 &  0.004 &  0.004 &  0.005 &  0.005 &  0.005 &  0.004 &  0.004 &  0.004 \\  
+A2	&  0.002 &  0.003 &  0.004 &  0.005 &  0.005 &  0.007 &  0.007 &  0.007 &  0.006 &  0.006 &  0.005 \\  
+A3	&  0.003 &  0.006 &  0.007 &  0.009 &  0.008 &  0.011 &  0.011 &  0.012 &  0.010 &  0.010 &  0.008 \\  
+A4	&  0.003 &  0.005 &  0.007 &  0.009 &  0.008 &  0.011 &  0.011 &  0.012 &  0.010 &  0.010 &  0.008 \\  
+A5	&  0.003 &  0.005 &  0.007 &  0.009 &  0.008 &  0.011 &  0.011 &  0.012 &  0.010 &  0.010 &  0.008 \\  
+A6	&  0.004 &  0.007 &  0.009 &  0.011 &  0.010 &  0.015 &  0.014 &  0.016 &  0.013 &  0.013 &  0.010 \\  
+A7	&  0.004 &  0.008 &  0.011 &  0.013 &  0.012 &  0.017 &  0.017 &  0.018 &  0.015 &  0.015 &  0.012 \\  
+A8	&  0.004 &  0.007 &  0.009 &  0.011 &  0.010 &  0.015 &  0.014 &  0.016 &  0.013 &  0.013 &  0.010 \\  
+A9	&  0.004 &  0.009 &  0.012 &  0.014 &  0.013 &  0.019 &  0.018 &  0.020 &  0.017 &  0.016 &  0.013 \\  
+A10	&  0.007 &  0.014 &  0.018 &  0.022 &  0.020 &  0.028 &  0.027 &  0.030 &  0.025 &  0.025 &  0.020 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex
new file mode 100644
index 0000000000..69651a090c
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ 
+\hline 
+A1	&  0.001 &  0.003 &  0.002 &  0.003 &  0.003 &  0.002 &  0.004 &  0.004 &  0.003 &  0.008 \\  
+A2	&  0.001 &  0.004 &  0.003 &  0.004 &  0.004 &  0.003 &  0.005 &  0.005 &  0.004 &  0.011 \\  
+A3	&  0.002 &  0.007 &  0.005 &  0.006 &  0.007 &  0.005 &  0.009 &  0.008 &  0.007 &  0.018 \\  
+A4	&  0.002 &  0.007 &  0.005 &  0.006 &  0.006 &  0.005 &  0.008 &  0.008 &  0.007 &  0.017 \\  
+A5	&  0.002 &  0.007 &  0.005 &  0.006 &  0.006 &  0.005 &  0.008 &  0.008 &  0.007 &  0.017 \\  
+A6	&  0.002 &  0.009 &  0.006 &  0.008 &  0.008 &  0.007 &  0.011 &  0.010 &  0.009 &  0.023 \\  
+A7	&  0.002 &  0.010 &  0.007 &  0.009 &  0.010 &  0.008 &  0.013 &  0.012 &  0.010 &  0.026 \\  
+A8	&  0.002 &  0.009 &  0.006 &  0.008 &  0.008 &  0.007 &  0.011 &  0.011 &  0.009 &  0.023 \\  
+A9	&  0.003 &  0.011 &  0.008 &  0.010 &  0.011 &  0.009 &  0.014 &  0.013 &  0.011 &  0.029 \\  
+A10	&  0.004 &  0.017 &  0.012 &  0.015 &  0.016 &  0.013 &  0.021 &  0.020 &  0.017 &  0.043 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex
new file mode 100644
index 0000000000..2ed9cb914e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ 
+\hline 
+A1	&  0.000 &  0.001 &  0.002 &  0.002 &  0.002 &  0.002 &  0.003 &  0.003 &  0.004 &  0.002 &  0.002 \\  
+A2	&  0.001 &  0.002 &  0.003 &  0.002 &  0.003 &  0.003 &  0.004 &  0.004 &  0.006 &  0.002 &  0.003 \\  
+A3	&  0.001 &  0.003 &  0.004 &  0.004 &  0.005 &  0.006 &  0.006 &  0.007 &  0.010 &  0.004 &  0.004 \\  
+A4	&  0.001 &  0.003 &  0.004 &  0.004 &  0.005 &  0.005 &  0.006 &  0.006 &  0.009 &  0.003 &  0.004 \\  
+A5	&  0.001 &  0.003 &  0.004 &  0.004 &  0.005 &  0.005 &  0.006 &  0.007 &  0.010 &  0.003 &  0.004 \\  
+A6	&  0.001 &  0.004 &  0.005 &  0.005 &  0.006 &  0.007 &  0.008 &  0.008 &  0.012 &  0.004 &  0.006 \\  
+A7	&  0.001 &  0.005 &  0.006 &  0.006 &  0.007 &  0.008 &  0.010 &  0.010 &  0.014 &  0.005 &  0.007 \\  
+A8	&  0.001 &  0.004 &  0.005 &  0.005 &  0.006 &  0.007 &  0.008 &  0.009 &  0.012 &  0.005 &  0.006 \\  
+A9	&  0.002 &  0.006 &  0.007 &  0.006 &  0.008 &  0.009 &  0.010 &  0.011 &  0.016 &  0.006 &  0.007 \\  
+A10	&  0.002 &  0.008 &  0.010 &  0.010 &  0.012 &  0.013 &  0.016 &  0.016 &  0.024 &  0.009 &  0.011 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex
new file mode 100644
index 0000000000..8465e239f8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex
@@ -0,0 +1,19 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& B1 & B2 & B3 & B4 & B5 & B6 & B7 & B8 & B9 & B10 & B11 \\ 
+\hline 
+B1	&  1 &  0.013 &  0.010 &  0.011 &  0.008 &  0.010 &  0.008 &  0.008 &  0.006 &  0.006 &  0.005 \\  
+B2	&   &  1 &  0.024 &  0.027 &  0.019 &  0.023 &  0.018 &  0.018 &  0.014 &  0.012 &  0.009 \\  
+B3	&   &   &  1 &  0.023 &  0.018 &  0.023 &  0.019 &  0.020 &  0.016 &  0.015 &  0.012 \\  
+B4	&   &   &   &  1 &  0.021 &  0.026 &  0.023 &  0.024 &  0.019 &  0.018 &  0.014 \\  
+B5	&   &   &   &   &  1 &  0.022 &  0.020 &  0.021 &  0.017 &  0.016 &  0.013 \\  
+B6	&   &   &   &   &   &  1 &  0.027 &  0.029 &  0.023 &  0.022 &  0.018 \\  
+B7	&   &   &   &   &   &   &  1 &  0.027 &  0.022 &  0.022 &  0.017 \\  
+B8	&   &   &   &   &   &   &   &  1 &  0.024 &  0.024 &  0.019 \\  
+B9	&   &   &   &   &   &   &   &   &  1 &  0.020 &  0.016 \\  
+B10	&   &   &   &   &   &   &   &   &   &  1 &  0.015 \\  
+B11	&   &   &   &   &   &   &   &   &   &   &  1 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex
new file mode 100644
index 0000000000..569ff26fb8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex
@@ -0,0 +1,19 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ 
+\hline 
+B1	&  0.001 &  0.004 &  0.002 &  0.003 &  0.003 &  0.003 &  0.004 &  0.004 &  0.004 &  0.009 \\  
+B2	&  0.002 &  0.007 &  0.005 &  0.007 &  0.007 &  0.006 &  0.009 &  0.009 &  0.007 &  0.018 \\  
+B3	&  0.002 &  0.009 &  0.006 &  0.009 &  0.009 &  0.007 &  0.012 &  0.011 &  0.009 &  0.024 \\  
+B4	&  0.003 &  0.012 &  0.008 &  0.011 &  0.011 &  0.009 &  0.014 &  0.014 &  0.012 &  0.029 \\  
+B5	&  0.002 &  0.011 &  0.007 &  0.010 &  0.010 &  0.008 &  0.013 &  0.012 &  0.011 &  0.027 \\  
+B6	&  0.003 &  0.015 &  0.010 &  0.014 &  0.014 &  0.011 &  0.018 &  0.017 &  0.015 &  0.038 \\  
+B7	&  0.003 &  0.015 &  0.010 &  0.013 &  0.014 &  0.011 &  0.018 &  0.017 &  0.015 &  0.037 \\  
+B8	&  0.004 &  0.016 &  0.011 &  0.015 &  0.015 &  0.012 &  0.020 &  0.019 &  0.016 &  0.041 \\  
+B9	&  0.003 &  0.013 &  0.009 &  0.012 &  0.013 &  0.010 &  0.017 &  0.016 &  0.014 &  0.034 \\  
+B10	&  0.003 &  0.013 &  0.009 &  0.012 &  0.012 &  0.010 &  0.016 &  0.015 &  0.013 &  0.033 \\  
+B11	&  0.002 &  0.010 &  0.007 &  0.010 &  0.010 &  0.008 &  0.013 &  0.012 &  0.011 &  0.027 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex
new file mode 100644
index 0000000000..7c29a0c7ab
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex
@@ -0,0 +1,19 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ 
+\hline 
+B1	&  0.001 &  0.002 &  0.002 &  0.002 &  0.003 &  0.003 &  0.003 &  0.003 &  0.005 &  0.002 &  0.002 \\  
+B2	&  0.001 &  0.004 &  0.004 &  0.004 &  0.005 &  0.006 &  0.007 &  0.007 &  0.010 &  0.004 &  0.005 \\  
+B3	&  0.001 &  0.005 &  0.006 &  0.005 &  0.007 &  0.007 &  0.009 &  0.009 &  0.013 &  0.005 &  0.006 \\  
+B4	&  0.002 &  0.006 &  0.007 &  0.007 &  0.008 &  0.009 &  0.011 &  0.011 &  0.016 &  0.006 &  0.007 \\  
+B5	&  0.002 &  0.005 &  0.006 &  0.006 &  0.008 &  0.008 &  0.010 &  0.010 &  0.015 &  0.005 &  0.007 \\  
+B6	&  0.002 &  0.007 &  0.009 &  0.008 &  0.011 &  0.012 &  0.014 &  0.014 &  0.021 &  0.007 &  0.010 \\  
+B7	&  0.002 &  0.007 &  0.009 &  0.008 &  0.010 &  0.012 &  0.014 &  0.014 &  0.020 &  0.007 &  0.009 \\  
+B8	&  0.002 &  0.008 &  0.010 &  0.009 &  0.011 &  0.013 &  0.015 &  0.015 &  0.022 &  0.008 &  0.010 \\  
+B9	&  0.002 &  0.007 &  0.008 &  0.008 &  0.010 &  0.011 &  0.012 &  0.013 &  0.019 &  0.007 &  0.009 \\  
+B10	&  0.002 &  0.006 &  0.008 &  0.007 &  0.009 &  0.010 &  0.012 &  0.012 &  0.018 &  0.007 &  0.008 \\  
+B11	&  0.002 &  0.005 &  0.006 &  0.006 &  0.008 &  0.008 &  0.010 &  0.010 &  0.015 &  0.005 &  0.007 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex
new file mode 100644
index 0000000000..cd24942170
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ 
+\hline 
+C1	&  1 &  0.004 &  0.003 &  0.004 &  0.004 &  0.003 &  0.003 &  0.003 &  0.002 &  0.006 \\  
+C2	&   &  1 &  0.016 &  0.018 &  0.017 &  0.012 &  0.016 &  0.013 &  0.011 &  0.024 \\  
+C3	&   &   &  1 &  0.019 &  0.017 &  0.012 &  0.013 &  0.010 &  0.008 &  0.017 \\  
+C4	&   &   &   &  1 &  0.019 &  0.013 &  0.016 &  0.013 &  0.010 &  0.022 \\  
+C5	&   &   &   &   &  1 &  0.012 &  0.015 &  0.013 &  0.010 &  0.023 \\  
+C6	&   &   &   &   &   &  1 &  0.012 &  0.010 &  0.008 &  0.018 \\  
+C7	&   &   &   &   &   &   &  1 &  0.015 &  0.012 &  0.029 \\  
+C8	&   &   &   &   &   &   &   &  1 &  0.011 &  0.027 \\  
+C9	&   &   &   &   &   &   &   &   &  1 &  0.023 \\  
+C10	&   &   &   &   &   &   &   &   &   &  1 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex
new file mode 100644
index 0000000000..a6931b51d8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex
@@ -0,0 +1,18 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ 
+\hline 
+C1	&  0.000 &  0.001 &  0.001 &  0.001 &  0.002 &  0.002 &  0.002 &  0.002 &  0.003 &  0.001 &  0.001 \\  
+C2	&  0.001 &  0.004 &  0.005 &  0.005 &  0.006 &  0.007 &  0.008 &  0.009 &  0.013 &  0.005 &  0.006 \\  
+C3	&  0.001 &  0.003 &  0.004 &  0.004 &  0.004 &  0.005 &  0.006 &  0.006 &  0.009 &  0.003 &  0.004 \\  
+C4	&  0.001 &  0.004 &  0.005 &  0.005 &  0.006 &  0.007 &  0.008 &  0.008 &  0.011 &  0.004 &  0.005 \\  
+C5	&  0.001 &  0.004 &  0.005 &  0.005 &  0.006 &  0.007 &  0.008 &  0.008 &  0.012 &  0.004 &  0.005 \\  
+C6	&  0.001 &  0.003 &  0.004 &  0.004 &  0.005 &  0.006 &  0.006 &  0.007 &  0.010 &  0.004 &  0.004 \\  
+C7	&  0.002 &  0.006 &  0.007 &  0.006 &  0.008 &  0.009 &  0.010 &  0.011 &  0.016 &  0.006 &  0.007 \\  
+C8	&  0.002 &  0.005 &  0.006 &  0.006 &  0.008 &  0.008 &  0.010 &  0.010 &  0.015 &  0.005 &  0.007 \\  
+C9	&  0.001 &  0.005 &  0.006 &  0.005 &  0.007 &  0.007 &  0.008 &  0.009 &  0.013 &  0.005 &  0.006 \\  
+C10	&  0.003 &  0.011 &  0.014 &  0.013 &  0.016 &  0.018 &  0.021 &  0.022 &  0.032 &  0.012 &  0.015 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex
new file mode 100644
index 0000000000..239b258913
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex
@@ -0,0 +1,19 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ 
+\hline 
+D1	&  1 &  0.004 &  0.012 &  0.007 &  0.007 &  0.005 &  0.005 &  0.003 &  0.003 &  0.001 &  0.001 \\  
+D2	&   &  1 &  0.009 &  0.006 &  0.007 &  0.006 &  0.006 &  0.005 &  0.007 &  0.003 &  0.003 \\  
+D3	&   &   &  1 &  0.014 &  0.015 &  0.012 &  0.011 &  0.008 &  0.010 &  0.004 &  0.004 \\  
+D4	&   &   &   &  1 &  0.010 &  0.008 &  0.008 &  0.007 &  0.008 &  0.003 &  0.004 \\  
+D5	&   &   &   &   &  1 &  0.010 &  0.010 &  0.008 &  0.010 &  0.004 &  0.004 \\  
+D6	&   &   &   &   &   &  1 &  0.009 &  0.008 &  0.011 &  0.004 &  0.005 \\  
+D7	&   &   &   &   &   &   &  1 &  0.009 &  0.012 &  0.005 &  0.006 \\  
+D8	&   &   &   &   &   &   &   &  1 &  0.012 &  0.005 &  0.006 \\  
+D9	&   &   &   &   &   &   &   &   &  1 &  0.007 &  0.008 \\  
+D10	&   &   &   &   &   &   &   &   &   &  1 &  0.003 \\  
+D11	&   &   &   &   &   &   &   &   &   &   &  1 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex
new file mode 100644
index 0000000000..05ea6a40f9
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex
@@ -0,0 +1,22 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& A1 & A2 & A3 & A4 & A5 & A6 & A7 & A8 & A9 & A10 \\ 
+\hline 
+I1	&  0.020 &  0.011 &  0.009 &  0.007 &  0.007 &  0.009 &  0.010 &  0.009 &  0.011 &  0.017 \\  
+I2	&  0.027 &  0.025 &  0.023 &  0.018 &  0.018 &  0.023 &  0.027 &  0.023 &  0.029 &  0.044 \\  
+I3	&  0.066 &  0.054 &  0.029 &  0.013 &  0.006 &  0.006 &  0.007 &  0.006 &  0.008 &  0.012 \\  
+I4	&  0.033 &  0.062 &  0.056 &  0.025 &  0.009 &  0.006 &  0.006 &  0.006 &  0.007 &  0.010 \\  
+I5	&  0.006 &  0.053 &  0.064 &  0.053 &  0.020 &  0.010 &  0.007 &  0.006 &  0.007 &  0.011 \\  
+I6	&  0.002 &  0.023 &  0.058 &  0.064 &  0.042 &  0.018 &  0.008 &  0.005 &  0.007 &  0.010 \\  
+I7	&  0.002 &  0.005 &  0.047 &  0.072 &  0.078 &  0.059 &  0.024 &  0.009 &  0.008 &  0.012 \\  
+I8	&  0.003 &  0.005 &  0.026 &  0.059 &  0.073 &  0.096 &  0.059 &  0.023 &  0.014 &  0.019 \\  
+I9	&  0.002 &  0.003 &  0.008 &  0.034 &  0.052 &  0.081 &  0.103 &  0.052 &  0.018 &  0.012 \\  
+I10	&  0.002 &  0.003 &  0.005 &  0.016 &  0.031 &  0.056 &  0.086 &  0.116 &  0.048 &  0.021 \\  
+I11	&  0.002 &  0.003 &  0.005 &  0.007 &  0.015 &  0.031 &  0.057 &  0.093 &  0.124 &  0.047 \\  
+I12	&  0.001 &  0.002 &  0.003 &  0.003 &  0.005 &  0.012 &  0.026 &  0.057 &  0.096 &  0.131 \\  
+I13	&  0.002 &  0.003 &  0.005 &  0.004 &  0.005 &  0.008 &  0.014 &  0.029 &  0.063 &  0.116 \\  
+I14	&  0.001 &  0.002 &  0.003 &  0.003 &  0.003 &  0.004 &  0.006 &  0.011 &  0.026 &  0.064 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex
new file mode 100644
index 0000000000..73afd6f419
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex
@@ -0,0 +1,22 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& B1 & B2 & B3 & B4 & B5 & B6 & B7 & B8 & B9 & B10 & B11 \\ 
+\hline 
+I1	&  0.028 &  0.020 &  0.013 &  0.012 &  0.011 &  0.015 &  0.015 &  0.016 &  0.013 &  0.013 &  0.010 \\  
+I2	&  0.033 &  0.043 &  0.035 &  0.032 &  0.028 &  0.038 &  0.038 &  0.041 &  0.034 &  0.034 &  0.027 \\  
+I3	&  0.086 &  0.085 &  0.051 &  0.024 &  0.011 &  0.011 &  0.010 &  0.011 &  0.009 &  0.009 &  0.007 \\  
+I4	&  0.032 &  0.090 &  0.087 &  0.046 &  0.018 &  0.012 &  0.009 &  0.010 &  0.008 &  0.008 &  0.006 \\  
+I5	&  0.005 &  0.063 &  0.094 &  0.089 &  0.037 &  0.019 &  0.011 &  0.011 &  0.009 &  0.009 &  0.007 \\  
+I6	&  0.002 &  0.022 &  0.082 &  0.094 &  0.078 &  0.035 &  0.014 &  0.010 &  0.008 &  0.008 &  0.006 \\  
+I7	&  0.003 &  0.006 &  0.055 &  0.101 &  0.109 &  0.103 &  0.043 &  0.019 &  0.010 &  0.010 &  0.008 \\  
+I8	&  0.004 &  0.008 &  0.027 &  0.080 &  0.103 &  0.138 &  0.105 &  0.047 &  0.020 &  0.015 &  0.012 \\  
+I9	&  0.002 &  0.005 &  0.008 &  0.043 &  0.071 &  0.114 &  0.147 &  0.101 &  0.033 &  0.012 &  0.007 \\  
+I10	&  0.003 &  0.006 &  0.007 &  0.020 &  0.041 &  0.078 &  0.119 &  0.171 &  0.094 &  0.031 &  0.010 \\  
+I11	&  0.003 &  0.005 &  0.007 &  0.010 &  0.020 &  0.043 &  0.077 &  0.131 &  0.185 &  0.089 &  0.023 \\  
+I12	&  0.001 &  0.003 &  0.003 &  0.004 &  0.006 &  0.017 &  0.035 &  0.076 &  0.134 &  0.200 &  0.072 \\  
+I13	&  0.002 &  0.005 &  0.006 &  0.008 &  0.007 &  0.012 &  0.019 &  0.040 &  0.081 &  0.156 &  0.208 \\  
+I14	&  0.002 &  0.003 &  0.004 &  0.005 &  0.005 &  0.006 &  0.008 &  0.016 &  0.035 &  0.086 &  0.179 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex
new file mode 100644
index 0000000000..743124a965
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex
@@ -0,0 +1,22 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ 
+\hline 
+I1	&  0.016 &  0.014 &  0.008 &  0.008 &  0.008 &  0.007 &  0.011 &  0.011 &  0.009 &  0.023 \\  
+I2	&  0.021 &  0.034 &  0.020 &  0.022 &  0.022 &  0.018 &  0.029 &  0.027 &  0.023 &  0.059 \\  
+I3	&  0.051 &  0.045 &  0.024 &  0.012 &  0.007 &  0.005 &  0.008 &  0.007 &  0.006 &  0.016 \\  
+I4	&  0.026 &  0.052 &  0.044 &  0.022 &  0.009 &  0.005 &  0.007 &  0.007 &  0.006 &  0.014 \\  
+I5	&  0.004 &  0.046 &  0.052 &  0.045 &  0.018 &  0.008 &  0.008 &  0.007 &  0.006 &  0.015 \\  
+I6	&  0.001 &  0.021 &  0.047 &  0.055 &  0.038 &  0.015 &  0.008 &  0.006 &  0.005 &  0.013 \\  
+I7	&  0.002 &  0.008 &  0.036 &  0.057 &  0.062 &  0.046 &  0.021 &  0.010 &  0.007 &  0.017 \\  
+I8	&  0.002 &  0.010 &  0.020 &  0.048 &  0.060 &  0.077 &  0.051 &  0.023 &  0.012 &  0.025 \\  
+I9	&  0.001 &  0.006 &  0.006 &  0.028 &  0.044 &  0.065 &  0.086 &  0.045 &  0.015 &  0.016 \\  
+I10	&  0.002 &  0.007 &  0.005 &  0.015 &  0.027 &  0.046 &  0.073 &  0.096 &  0.041 &  0.025 \\  
+I11	&  0.002 &  0.006 &  0.004 &  0.007 &  0.015 &  0.025 &  0.049 &  0.080 &  0.102 &  0.047 \\  
+I12	&  0.001 &  0.003 &  0.002 &  0.003 &  0.005 &  0.010 &  0.024 &  0.051 &  0.083 &  0.112 \\  
+I13	&  0.001 &  0.006 &  0.004 &  0.005 &  0.006 &  0.006 &  0.014 &  0.027 &  0.055 &  0.108 \\  
+I14	&  0.001 &  0.004 &  0.003 &  0.004 &  0.004 &  0.003 &  0.006 &  0.012 &  0.024 &  0.064 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex
new file mode 100644
index 0000000000..963dc3f77f
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex
@@ -0,0 +1,22 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ 
+\hline 
+I1	&  0.011 &  0.018 &  0.011 &  0.006 &  0.007 &  0.007 &  0.008 &  0.009 &  0.012 &  0.005 &  0.006 \\  
+I2	&  0.011 &  0.029 &  0.026 &  0.017 &  0.017 &  0.019 &  0.022 &  0.022 &  0.032 &  0.012 &  0.015 \\  
+I3	&  0.030 &  0.060 &  0.047 &  0.023 &  0.010 &  0.006 &  0.006 &  0.006 &  0.009 &  0.003 &  0.004 \\  
+I4	&  0.004 &  0.042 &  0.061 &  0.043 &  0.019 &  0.009 &  0.006 &  0.005 &  0.008 &  0.003 &  0.004 \\  
+I5	&  0.001 &  0.016 &  0.056 &  0.061 &  0.038 &  0.018 &  0.008 &  0.006 &  0.008 &  0.003 &  0.004 \\  
+I6	&  0.001 &  0.004 &  0.034 &  0.057 &  0.057 &  0.037 &  0.014 &  0.006 &  0.007 &  0.003 &  0.003 \\  
+I7	&  0.001 &  0.003 &  0.015 &  0.054 &  0.065 &  0.076 &  0.045 &  0.018 &  0.011 &  0.004 &  0.004 \\  
+I8	&  0.001 &  0.005 &  0.008 &  0.034 &  0.056 &  0.078 &  0.085 &  0.047 &  0.023 &  0.006 &  0.007 \\  
+I9	&  0.001 &  0.003 &  0.004 &  0.013 &  0.035 &  0.059 &  0.080 &  0.089 &  0.042 &  0.011 &  0.005 \\  
+I10	&  0.001 &  0.003 &  0.004 &  0.005 &  0.018 &  0.036 &  0.060 &  0.091 &  0.096 &  0.036 &  0.010 \\  
+I11	&  0.001 &  0.003 &  0.004 &  0.004 &  0.008 &  0.019 &  0.035 &  0.064 &  0.101 &  0.098 &  0.030 \\  
+I12	&  0.000 &  0.002 &  0.002 &  0.002 &  0.003 &  0.006 &  0.015 &  0.032 &  0.064 &  0.109 &  0.094 \\  
+I13	&  0.001 &  0.003 &  0.004 &  0.003 &  0.004 &  0.005 &  0.009 &  0.016 &  0.036 &  0.068 &  0.127 \\  
+I14	&  0.001 &  0.002 &  0.002 &  0.002 &  0.003 &  0.003 &  0.004 &  0.006 &  0.016 &  0.033 &  0.076 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex
new file mode 100644
index 0000000000..99e5900359
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex
@@ -0,0 +1,22 @@
+\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c}
+\hline 
+ \hline 
+Bin	& I1 & I2 & I3 & I4 & I5 & I6 & I7 & I8 & I9 & I10 & I11 & I12 & I13 & I14 \\ 
+\hline 
+I1	&  1 &  0.065 &  0.057 &  0.044 &  0.036 &  0.026 &  0.024 &  0.024 &  0.016 &  0.013 &  0.011 &  0.006 &  0.007 &  0.005 \\  
+I2	&   &  1 &  0.056 &  0.045 &  0.039 &  0.030 &  0.031 &  0.036 &  0.023 &  0.023 &  0.020 &  0.010 &  0.016 &  0.011 \\  
+I3	&   &   &  1 &  0.046 &  0.039 &  0.030 &  0.027 &  0.024 &  0.016 &  0.013 &  0.009 &  0.005 &  0.006 &  0.004 \\  
+I4	&   &   &   &  1 &  0.035 &  0.028 &  0.025 &  0.022 &  0.014 &  0.011 &  0.008 &  0.005 &  0.005 &  0.003 \\  
+I5	&   &   &   &   &  1 &  0.029 &  0.026 &  0.023 &  0.015 &  0.012 &  0.009 &  0.005 &  0.005 &  0.003 \\  
+I6	&   &   &   &   &   &  1 &  0.025 &  0.023 &  0.016 &  0.012 &  0.009 &  0.005 &  0.005 &  0.003 \\  
+I7	&   &   &   &  &   &   &  1 &  0.028 &  0.022 &  0.019 &  0.014 &  0.008 &  0.008 &  0.005 \\  
+I8	&   &   &   &   &   &  &   &  1 &  0.029 &  0.027 &  0.022 &  0.014 &  0.012 &  0.008 \\  
+I9	&   &   &   &   &   &   &   &   &  1 &  0.030 &  0.026 &  0.018 &  0.014 &  0.008 \\  
+I10	&  &   &   &  &   &   &   &   &   &  1 &  0.035 &  0.028 &  0.022 &  0.013 \\  
+I11	&   &  &   &   &  &   &   &   &  &   &  1 &  0.037 &  0.031 &  0.020 \\  
+I12	&   &   &   &   &   &   &   &   &   &   &   &  1 &  0.041 &  0.030 \\  
+I13	&   &   &   &   &   &   &  &   &   &   &   &   &  1 &  0.044 \\  
+I14	&   &   &   &   &   &   &   &   &   &   &   &   &   &  1 \\  
+\hline 
+ \hline 
+\end{tabular}
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml
new file mode 100644
index 0000000000..bde5d73776
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml
@@ -0,0 +1,1046 @@
+definitions:
+  lumi_ue:
+    description: underlying event and relative luminosity uncertainty
+    treatment: ADD
+    type: STAR2012LUMIUE
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2012POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc54
+  sys_55:
+    description: 55 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc55
+bins:
+- lumi_ue: 0.000364
+  pol: 1.1285999999999999e-06
+  sys_0: -8.821941748805665e-06
+  sys_1: -3.647133093819715e-05
+  sys_2: 1.8167870451191507e-06
+  sys_3: 1.7483244936078064e-05
+  sys_4: 8.483136631166403e-06
+  sys_5: 1.2108429667596676e-05
+  sys_6: -1.4968639805639232e-05
+  sys_7: 1.1807884919821091e-05
+  sys_8: 1.4271856486755282e-05
+  sys_9: 1.233019052883303e-05
+  sys_10: -8.46277556818203e-06
+  sys_11: 1.3673607962112949e-05
+  sys_12: -8.748427437422347e-06
+  sys_13: -1.1353649503226805e-05
+  sys_14: -1.7758882243814993e-05
+  sys_15: 5.797017461791961e-06
+  sys_16: 1.0949322616298886e-05
+  sys_17: -2.1789787484307717e-05
+  sys_18: 1.3317032520603892e-05
+  sys_19: -9.563470189865437e-06
+  sys_20: -8.22099465747639e-06
+  sys_21: 5.306887824504082e-06
+  sys_22: -1.1767831974255831e-05
+  sys_23: -6.819927121922221e-05
+  sys_24: -9.995071414958789e-05
+  sys_25: 0.0003371072073149283
+  sys_26: 0.0012092802633853932
+  sys_27: 0.00029667443357125217
+  sys_28: 0.0002579678419682714
+  sys_29: -5.973614868422086e-05
+  sys_30: 2.5349346947554508e-05
+  sys_31: 5.429956819146516e-07
+  sys_32: -4.673412227812524e-06
+  sys_33: 9.400852661146199e-06
+  sys_34: -5.545333821994411e-06
+  sys_35: 5.899960672921897e-06
+  sys_36: 2.881539531165112e-05
+  sys_37: -7.284669141187073e-06
+  sys_38: 1.7481194414994023e-05
+  sys_39: -3.105042856976772e-05
+  sys_40: 2.1203048280657375e-05
+  sys_41: 3.665235752852848e-06
+  sys_42: 1.054922251312889e-06
+  sys_43: -4.391887800363986e-06
+  sys_44: -6.2725605380339e-06
+  sys_45: -6.5526794747025594e-06
+  sys_46: -7.65597981933674e-06
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+  sys_48: 4.389162725861691e-05
+  sys_49: -1.0573358629473254e-05
+  sys_50: 5.525284765141057e-06
+  sys_51: 2.609308525613858e-05
+  sys_52: -4.183167280418963e-06
+  sys_53: 4.421650848751951e-06
+  sys_54: 8.713837319860204e-06
+  sys_55: -2.236862228506932e-06
+- lumi_ue: 0.000326
+  pol: 0.0001419
+  sys_0: -2.4651125270180278e-05
+  sys_1: -0.00010423248114795092
+  sys_2: 6.461774400155848e-06
+  sys_3: 5.0755783085369855e-05
+  sys_4: 2.5886190090542884e-05
+  sys_5: 3.434046556061374e-05
+  sys_6: -4.413282234670394e-05
+  sys_7: 3.387356832711915e-05
+  sys_8: 1.5140215739700306e-05
+  sys_9: 3.4556828274942515e-05
+  sys_10: -2.708027595840028e-05
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+  sys_12: -2.3358868305795577e-05
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+  sys_14: -5.1204285875975425e-05
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+  sys_16: 3.199654902111686e-05
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+  sys_18: 3.9814171052103914e-05
+  sys_19: -2.7973203300675215e-05
+  sys_20: -2.68898268722321e-05
+  sys_21: 1.611377348198906e-05
+  sys_22: -3.3001238765655655e-05
+  sys_23: -3.6421448414983004e-05
+  sys_24: -3.814037112791418e-05
+  sys_25: 9.850863580639559e-06
+  sys_26: -0.0003605142850157763
+  sys_27: 0.0013074999414781137
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+  sys_29: -9.321864440223161e-05
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+  sys_31: 4.153589459864477e-05
+  sys_32: -3.3975853696382736e-05
+  sys_33: 2.7655981213856275e-05
+  sys_34: -1.0747903478961235e-05
+  sys_35: 3.444580547776212e-05
+  sys_36: 7.200073775181437e-05
+  sys_37: -1.895339868043444e-05
+  sys_38: 4.588064373978041e-05
+  sys_39: -7.738213209570178e-05
+  sys_40: 2.559096713680055e-05
+  sys_41: 1.998436403760806e-06
+  sys_42: -9.502017315632864e-07
+  sys_43: -1.3009563171178818e-05
+  sys_44: -1.6781702234241515e-05
+  sys_45: -1.8223746714133256e-05
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+  sys_47: -1.538110825662134e-05
+  sys_48: 6.447675107626336e-05
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+  sys_53: 2.5223710955441385e-05
+  sys_54: 3.5112445714698695e-05
+  sys_55: -6.572544656738637e-06
+- lumi_ue: 0.000311
+  pol: 0.00010692
+  sys_0: -4.565244424389384e-06
+  sys_1: -1.970265582702826e-05
+  sys_2: 1.4432189223262424e-06
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+  sys_5: 6.603377645516533e-06
+  sys_6: -9.374485486261553e-06
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+  sys_9: 6.924762678466928e-06
+  sys_10: -4.452179533829526e-06
+  sys_11: 7.276990148032912e-06
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_A.yaml
new file mode 100644
index 0000000000..96f7365a39
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_A.yaml
@@ -0,0 +1,11 @@
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_B.yaml
new file mode 100644
index 0000000000..1988cae035
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_B.yaml
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_C.yaml
new file mode 100644
index 0000000000..9fe7a0dfa4
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_C.yaml
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_D.yaml
new file mode 100644
index 0000000000..884dea27ab
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_D.yaml
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml
new file mode 100644
index 0000000000..50c243e4c3
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml
new file mode 100644
index 0000000000..1c66a3548a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml
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+    max: 66.0
+    mid: 64.17
+    min: 62.34
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 78.19
+    mid: 76.06
+    min: 73.93
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 92.29
+    mid: 89.81
+    min: 87.33
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 110.81
+    mid: 107.92
+    min: 105.03
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml
new file mode 100644
index 0000000000..3ae84e0b49
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml
@@ -0,0 +1,121 @@
+bins:
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 20.62
+    mid: 19.81
+    min: 19.0
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 23.13
+    mid: 22.01
+    min: 20.89
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 27.24
+    mid: 26.16
+    min: 25.08
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 33.89
+    mid: 32.7
+    min: 31.51
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 40.05
+    mid: 38.71
+    min: 37.37
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 47.37
+    mid: 46.01
+    min: 44.65
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 55.67
+    mid: 53.89
+    min: 52.11
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 66.49
+    mid: 64.75
+    min: 63.01
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 79.42
+    mid: 77.15
+    min: 74.88
+- abs_eta_1:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  abs_eta_2:
+    max: 0.3
+    mid: 0.15
+    min: 0.0
+  m_jj:
+    max: 93.72
+    mid: 91.14
+    min: 88.56
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml
new file mode 100644
index 0000000000..4a58097629
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml
@@ -0,0 +1,133 @@
+bins:
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 22.68
+    mid: 20.54
+    min: 18.4
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 23.04
+    mid: 22.09
+    min: 21.14
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 27.29
+    mid: 26.31
+    min: 25.33
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 32.94
+    mid: 31.72
+    min: 30.5
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 39.79
+    mid: 38.48
+    min: 37.17
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 46.76
+    mid: 45.21
+    min: 43.66
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 55.84
+    mid: 54.150000000000006
+    min: 52.46
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 66.22
+    mid: 64.3
+    min: 62.38
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 78.81
+    mid: 76.66
+    min: 74.51
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 92.19
+    mid: 89.57
+    min: 86.95
+- abs_eta_1:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  abs_eta_2:
+    max: 0.9
+    mid: 0.6
+    min: 0.3
+  m_jj:
+    max: 109.83
+    mid: 106.86
+    min: 103.89
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml
new file mode 100644
index 0000000000..c08e5f0256
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml
@@ -0,0 +1,166 @@
+setname: "STAR_2012_2JET_510GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: "https://arxiv.org/abs/1906.02740"
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1738738"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1738738"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation, correlations from arXiv"
+
+implemented_observables:
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology A",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: A-ALL
+    process_type: DIJET_POL
+    ndata: 10
+    tables: [14]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_A.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_A.yaml
+    data_uncertainties:
+      - uncertainties_A.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology A"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2012_2JET_510GEV_A-ALL-POL
+        - - STAR_2012_2JET_510GEV_A-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology B",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: B-ALL
+    process_type: DIJET_POL
+    ndata: 11
+    tables: [14]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_B.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_B.yaml
+    data_uncertainties:
+      - uncertainties_B.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology B"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2012_2JET_510GEV_B-ALL-POL
+        - - STAR_2012_2JET_510GEV_B-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology C",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: C-ALL
+    process_type: DIJET_POL
+    ndata: 10
+    tables: [14]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_C.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_C.yaml
+    data_uncertainties:
+      - uncertainties_C.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology C"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2012_2JET_510GEV_C-ALL-POL
+        - - STAR_2012_2JET_510GEV_C-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology D",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: D-ALL
+    process_type: DIJET_POL
+    ndata: 11
+    tables: [14]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_D.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_D.yaml
+    data_uncertainties:
+      - uncertainties_D.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology D"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2012_2JET_510GEV_D-ALL-POL
+        - - STAR_2012_2JET_510GEV_D-ALL-UNPOL
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_A.yaml
new file mode 100644
index 0000000000..f186a8a5e5
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_A.yaml
@@ -0,0 +1,814 @@
+definitions:
+  lumi_ue:
+    description: underlying event and relative luminosity uncertainty
+    treatment: ADD
+    type: STAR2012LUMIUE
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2012POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc54
+  sys_55:
+    description: 55 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc55
+bins:
+- lumi_ue: 0.00025
+  pol: 0.0008448
+  sys_0: -1.4932704724906427e-05
+  sys_1: -6.647759476165218e-05
+  sys_2: 1.630401314766415e-06
+  sys_3: 3.267462248739768e-05
+  sys_4: 1.8648986103258845e-05
+  sys_5: 2.1859553427066885e-05
+  sys_6: -2.764260471995212e-05
+  sys_7: 2.4115688987795492e-05
+  sys_8: -8.852057229814217e-07
+  sys_9: 1.9676436951535432e-05
+  sys_10: -2.470136930196038e-05
+  sys_11: 3.2773228322757734e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml
new file mode 100644
index 0000000000..0f56358218
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml
@@ -0,0 +1,872 @@
+definitions:
+  lumi_ue:
+    description: underlying event and relative luminosity uncertainty
+    treatment: ADD
+    type: STAR2012LUMIUE
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2012POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc15
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+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc16
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+    treatment: ADD
+    type: STAR2012JETunc17
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+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc18
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+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc19
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+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc20
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+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc21
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+    treatment: ADD
+    type: STAR2012JETunc22
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+    treatment: ADD
+    type: STAR2012JETunc23
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+    type: STAR2012JETunc24
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+    type: STAR2012JETunc25
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+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc26
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+    treatment: ADD
+    type: STAR2012JETunc27
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+    type: STAR2012JETunc28
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+    type: STAR2012JETunc29
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+    treatment: ADD
+    type: STAR2012JETunc30
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+    type: STAR2012JETunc31
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+    type: STAR2012JETunc32
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+    treatment: ADD
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+    treatment: ADD
+    type: STAR2012JETunc54
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+    type: STAR2012JETunc55
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml
new file mode 100644
index 0000000000..7d41c7e4a7
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml
@@ -0,0 +1,814 @@
+definitions:
+  lumi_ue:
+    description: underlying event and relative luminosity uncertainty
+    treatment: ADD
+    type: STAR2012LUMIUE
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2012POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc24
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+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc27
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+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc29
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+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc30
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+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc31
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+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc32
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+    treatment: ADD
+    type: STAR2012JETunc33
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+    description: 34 artificial correlated statistical + systematics uncertainty
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+    type: STAR2012JETunc34
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+    treatment: ADD
+    type: STAR2012JETunc35
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+    description: 36 artificial correlated statistical + systematics uncertainty
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+    type: STAR2012JETunc36
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+    type: STAR2012JETunc37
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+    treatment: ADD
+    type: STAR2012JETunc38
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+    treatment: ADD
+    type: STAR2012JETunc39
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+    type: STAR2012JETunc40
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+    description: 41 artificial correlated statistical + systematics uncertainty
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+    type: STAR2012JETunc41
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+    type: STAR2012JETunc42
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+    treatment: ADD
+    type: STAR2012JETunc44
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+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc45
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+    type: STAR2012JETunc46
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+    treatment: ADD
+    type: STAR2012JETunc47
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+    treatment: ADD
+    type: STAR2012JETunc48
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+    type: STAR2012JETunc49
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+    type: STAR2012JETunc52
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+    type: STAR2012JETunc53
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+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc54
+  sys_55:
+    description: 55 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc55
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml
new file mode 100644
index 0000000000..87fc6c8595
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml
@@ -0,0 +1,872 @@
+definitions:
+  lumi_ue:
+    description: underlying event and relative luminosity uncertainty
+    treatment: ADD
+    type: STAR2012LUMIUE
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2012POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2012JETunc22
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+    type: STAR2012JETunc55
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml
new file mode 100644
index 0000000000..1f9f10754d
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml
@@ -0,0 +1,15 @@
+data_central:
+- 0.00626
+- 0.00258
+- 0.00277
+- -0.00075
+- -0.00085
+- 0.00444
+- 0.00308
+- 0.00572
+- 0.01008
+- 0.01033
+- 0.01249
+- 0.01824
+- 0.02205
+- 0.04527
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py
new file mode 100644
index 0000000000..bd8c787d1e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py
@@ -0,0 +1,313 @@
+"""This script provides the common filer to the jet and dijet STAR 2013 datasets.
+Files need to be parsed all together as there are correlations provided. 
+"""
+import pathlib
+
+import numpy as np
+import pandas as pd
+import yaml
+
+from nnpdf_data.filter_utils.correlations import (
+    compute_covmat,
+    upper_triangular_to_symmetric,
+)
+from nnpdf_data.new_commondata.STAR_2012_1JET_510GEV.filter import TOPO_DEF
+
+# values from the paper https://arxiv.org/pdf/2110.11020.pdf
+SQRTS = 510
+ETA_ABS = 0.9
+POL_UNC = 0.064
+LUMI_UNC = 0.00047
+YEAR = 2013
+TOPOPLOGY_LIST = ["I", "A", "B", "C", "D"]
+
+HERE = pathlib.Path(__file__).parent
+RAWDATA_PATH = HERE / "rawdata/"
+
+
+def read_1jet_data():
+    data_table = pathlib.Path(RAWDATA_PATH / "Figure3.csv")
+
+    with open(data_table, "r", encoding="utf-8") as file:
+        parton_jet_data = pd.read_csv(
+            file, delimiter=",", skiprows=lambda x: (x <= 21 or x >= 38)
+        )
+    with open(data_table, "r", encoding="utf-8") as file:
+        all_data = pd.read_csv(file, delimiter=",", skiprows=37)
+
+    df = pd.DataFrame()
+    df["pT"] = parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"]
+    df["pT_min"] = (
+        parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"] + parton_jet_data["syst -"]
+    )
+    df["pT_max"] = (
+        parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"] + parton_jet_data["syst +"]
+    )
+    df["eta"] = 0.0
+    df["eta_min"] = -TOPO_DEF["I"]["abs_eta_max"]
+    df["eta_max"] = +TOPO_DEF["I"]["abs_eta_max"]
+    df["sqrts"] = SQRTS
+    df["ALL"] = all_data[r"Inclusive Jet $A_{LL}$"]
+    df["stat"] = all_data[r"stat +"]
+    df["syst"] = all_data[r"syst +"]
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    df["lumi"] = LUMI_UNC
+
+    print("1JET data loaded. Npoint: ", len(df))
+    return df
+
+
+def read_2jet_data(topology):
+    data_table = RAWDATA_PATH / f"Figure5topology{topology}.csv"
+    with open(data_table, "r", encoding="utf-8") as file:
+        mjj_data = pd.read_csv(
+            file, delimiter=",", skiprows=lambda x: (x <= 5 or x >= 20)
+        )
+    with open(data_table, "r", encoding="utf-8") as file:
+        all_data = pd.read_csv(file, delimiter=",", skiprows=20)
+
+    df = pd.DataFrame()
+    df["mjj"] = mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"]
+    df["mjj_min"] = (
+        mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"] + mjj_data["syst -"]
+    )
+    df["mjj_max"] = (
+        mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"] + mjj_data["syst +"]
+    )
+
+    for p in ["1", "2"]:
+        df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_min"]
+        df[f"abs_eta{p}_max"] = TOPO_DEF[topology][f"abs_eta{p}_max"]
+        df[f"abs_eta{p}"] = (df[f"abs_eta{p}_min"] + df[f"abs_eta{p}_max"]) / 2
+
+    df["sqrts"] = SQRTS
+    df["ALL"] = all_data[r"Dijet $A_{LL}$, topology " + topology]
+    df["stat"] = all_data[r"stat +"]
+    df["syst"] = all_data[r"syst +"]
+    df["pol"] = POL_UNC * abs(df["ALL"])
+    df["lumi"] = LUMI_UNC
+
+    print(f"2JET {topology} data loaded. Npoint: ", len(df))
+    return df
+
+
+def get_correlation_label(a):
+    if a == "I":
+        return "Inclusivejet"
+    return f"Dijettopology{a}"
+
+
+def read_correlations(ndata_dict):
+    """Read the correlation files and build a big matix"""
+    corr_rows = []
+    # loop on block rows
+    for a, ndata_a in ndata_dict.items():
+        label_a = get_correlation_label(a)
+        la = [a for _ in range(ndata_a)]
+        corr_row = pd.DataFrame()
+        # loop on block columns
+        for b, ndata_b in ndata_dict.items():
+            label_b = get_correlation_label(b)
+            lb = [b for _ in range(ndata_b)]
+
+            # build the block
+            try:
+                with open(
+                    RAWDATA_PATH / f"{label_a}-{label_b}correlation.csv",
+                    encoding="utf-8",
+                ) as file:
+                    corr_df = pd.read_csv(file, delimiter=",", skiprows=6)
+                if a == b:
+                    corr = upper_triangular_to_symmetric(corr_df.values[:, 2], ndata_a)
+                else:
+                    corr = corr_df.values[:, 2].reshape((ndata_a, ndata_b))
+            except FileNotFoundError:
+                corr = pd.DataFrame(np.zeros((ndata_a, ndata_b)), index=la, columns=lb)
+
+            corr = pd.DataFrame(corr, index=la, columns=lb)
+            corr_row = pd.concat([corr_row, corr], axis=1)
+        corr_rows.append(corr_row)
+
+    tot_corr = pd.concat(corr_rows)
+    if not np.allclose(tot_corr, np.triu(tot_corr)):
+        raise ValueError("Correlation matrix not read correctly")
+    return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),)))
+
+
+def write_1jet_data(df, art_sys):
+    STORE_PATH = HERE
+
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pT_min"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pT_max"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "eta": {
+                "min": float(df.loc[i, "eta_min"]),
+                "mid": float(df.loc[i, "eta"]),
+                "max": float(df.loc[i, "eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+        "lumi": {
+            "description": "luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMI",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {"pol": float(df.loc[i, "pol"]), "lumi": float(df.loc[i, "lumi"])}
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+        error.append(e)
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+def write_2jet_data(df, topology, art_sys):
+    STORE_PATH = HERE / f"../STAR_{YEAR}_2JET_510GEV/"
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "m_jj": {
+                "min": float(df.loc[i, "mjj_min"]),
+                "mid": float(df.loc[i, "mjj"]),
+                "max": float(df.loc[i, "mjj_max"]),
+            },
+            # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "abs_eta_1": {
+                "min": float(df.loc[i, "abs_eta1_min"]),
+                "mid": float(df.loc[i, "abs_eta1"]),
+                "max": float(df.loc[i, "abs_eta1_max"]),
+            },
+            "abs_eta_2": {
+                "min": float(df.loc[i, "abs_eta2_min"]),
+                "mid": float(df.loc[i, "abs_eta2"]),
+                "max": float(df.loc[i, "abs_eta2_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(
+        STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+        "lumi": {
+            "description": "luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMI",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {
+            "pol": float(df.loc[i, "pol"]),
+            "lumi": float(df.loc[i, "lumi"]),
+        }
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+        error.append(e)
+
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(
+        STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # load all the data
+    dfs = {"I": read_1jet_data()}
+    for topo in TOPOPLOGY_LIST[1:]:
+        dfs[topo] = read_2jet_data(topo)
+
+    # load correlations
+    ndata_dict = {a: len(b) for a, b in dfs.items()}
+    correlation_df = read_correlations(ndata_dict)
+    # sum stat and syst for both jet and dijets as recommended
+    # by E.Aschenauer, see https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662
+    correlated_unc = []
+    for a in TOPOPLOGY_LIST:
+        correlated_unc.extend(
+            np.sqrt(dfs[a]["syst"] ** 2 + dfs[a]["stat"] ** 2).values.tolist()
+        )
+    ndata_points = np.sum((*ndata_dict.values(),))
+    # decompose uncertainties
+    art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points))
+
+    # write data
+    cnt = 0
+    for topo, df in dfs.items():
+        ndata = ndata_dict[topo]
+        syst = art_sys[cnt : cnt + ndata, :].tolist()
+        if topo == "I":
+            write_1jet_data(df, syst)
+        else:
+            write_2jet_data(df, topo, syst)
+        cnt += ndata
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml
new file mode 100644
index 0000000000..dd7cb965e2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml
@@ -0,0 +1,169 @@
+bins:
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 8.65
+    mid: 7.79
+    min: 6.93
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 10.209999999999999
+    mid: 9.62
+    min: 9.03
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 12.14
+    mid: 11.67
+    min: 11.2
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 14.1
+    mid: 13.59
+    min: 13.08
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 16.3
+    mid: 15.76
+    min: 15.219999999999999
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 20.62
+    mid: 19.89
+    min: 19.16
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 23.49
+    mid: 22.68
+    min: 21.87
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 26.830000000000002
+    mid: 25.94
+    min: 25.05
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 30.75
+    mid: 29.75
+    min: 28.75
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 35.5
+    mid: 34.29
+    min: 33.08
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 40.99
+    mid: 39.59
+    min: 38.190000000000005
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 47.28
+    mid: 45.76
+    min: 44.239999999999995
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 54.9
+    mid: 53.17
+    min: 51.440000000000005
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
+- eta:
+    max: 0.9
+    mid: 0.0
+    min: -0.9
+  pT:
+    max: 63.32
+    mid: 61.37
+    min: 59.419999999999995
+  sqrts:
+    max: null
+    mid: 510.0
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml
new file mode 100644
index 0000000000..10cfd57013
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml
@@ -0,0 +1,54 @@
+setname: "STAR_2013_1JET_510GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/2110.11020
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1949588"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1949588"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "$A_{LL}$ as function of $p_T$", label: "$A_{LL}$", units: "" }
+    observable_name: ALL
+    process_type: JET_POL
+    ndata: 14
+    tables: [3]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        eta: { description: "pseudorapidity", label: '$\eta$', units: "" }
+      file: kinematics.yaml
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+    kinematic_coverage: [pT, sqrts, eta]
+    plotting:
+      dataset_label: "STAR 510 GeV (2013) 1-JET $A_{LL}$"
+      kinematics_override: identity
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2013_1JET_510GEV_ALL-POL
+        - - STAR_2013_1JET_510GEV_ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv
new file mode 100644
index 0000000000..2f4590b1e3
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t11
+#: name: Dijet topology A correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology A). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijA.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA
+15.74,15.74,1.0
+15.74,18.5,0.016
+15.74,21.96,0.019
+15.74,26.17,0.021
+15.74,31.63,0.019
+15.74,37.8,0.015
+15.74,44.75,0.014
+15.74,53.31,0.01
+15.74,63.64,0.007
+15.74,75.32,0.005
+15.74,89.66,0.003
+15.74,105.63,0.002
+18.5,18.5,1.0
+18.5,21.96,0.073
+18.5,26.17,0.079
+18.5,31.63,0.073
+18.5,37.8,0.058
+18.5,44.75,0.052
+18.5,53.31,0.039
+18.5,63.64,0.028
+18.5,75.32,0.017
+18.5,89.66,0.011
+18.5,105.63,0.006
+21.96,21.96,1.0
+21.96,26.17,0.042
+21.96,31.63,0.039
+21.96,37.8,0.031
+21.96,44.75,0.028
+21.96,53.31,0.021
+21.96,63.64,0.015
+21.96,75.32,0.009
+21.96,89.66,0.006
+21.96,105.63,0.003
+26.17,26.17,1.0
+26.17,31.63,0.052
+26.17,37.8,0.041
+26.17,44.75,0.037
+26.17,53.31,0.027
+26.17,63.64,0.02
+26.17,75.32,0.012
+26.17,89.66,0.008
+26.17,105.63,0.004
+31.63,31.63,1.0
+31.63,37.8,0.039
+31.63,44.75,0.035
+31.63,53.31,0.026
+31.63,63.64,0.019
+31.63,75.32,0.012
+31.63,89.66,0.008
+31.63,105.63,0.004
+37.8,37.8,1.0
+37.8,44.75,0.029
+37.8,53.31,0.022
+37.8,63.64,0.015
+37.8,75.32,0.01
+37.8,89.66,0.006
+37.8,105.63,0.004
+44.75,44.75,1.0
+44.75,53.31,0.021
+44.75,63.64,0.015
+44.75,75.32,0.009
+44.75,89.66,0.006
+44.75,105.63,0.003
+53.31,53.31,1.0
+53.31,63.64,0.013
+53.31,75.32,0.008
+53.31,89.66,0.005
+53.31,105.63,0.003
+63.64,63.64,1.0
+63.64,75.32,0.01
+63.64,89.66,0.006
+63.64,105.63,0.003
+75.32,75.32,1.0
+75.32,89.66,0.007
+75.32,105.63,0.004
+89.66,89.66,1.0
+89.66,105.63,0.004
+105.63,105.63,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv
new file mode 100644
index 0000000000..2a74b4f314
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv
@@ -0,0 +1,164 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t12
+#: name: Dijet topology A - Dijet topology B correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology A) with forward-central dijet measurements (topology B). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijA-B.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA-DijetB
+15.74,15.49,0.008
+15.74,18.48,0.018
+15.74,22.33,0.022
+15.74,26.67,0.024
+15.74,32.16,0.022
+15.74,38.59,0.018
+15.74,45.66,0.016
+15.74,54.49,0.012
+15.74,65.02,0.009
+15.74,77.16,0.006
+15.74,91.33,0.004
+15.74,109.2,0.002
+15.74,129.75,0.001
+18.5,15.49,0.024
+18.5,18.48,0.055
+18.5,22.33,0.065
+18.5,26.67,0.072
+18.5,32.16,0.068
+18.5,38.59,0.054
+18.5,45.66,0.049
+18.5,54.49,0.037
+18.5,65.02,0.027
+18.5,77.16,0.017
+18.5,91.33,0.011
+18.5,109.2,0.006
+18.5,129.75,0.003
+21.96,15.49,0.02
+21.96,18.48,0.044
+21.96,22.33,0.053
+21.96,26.67,0.059
+21.96,32.16,0.055
+21.96,38.59,0.044
+21.96,45.66,0.04
+21.96,54.49,0.03
+21.96,65.02,0.022
+21.96,77.16,0.014
+21.96,91.33,0.009
+21.96,109.2,0.005
+21.96,129.75,0.003
+26.17,15.49,0.024
+26.17,18.48,0.055
+26.17,22.33,0.066
+26.17,26.67,0.073
+26.17,32.16,0.068
+26.17,38.59,0.055
+26.17,45.66,0.049
+26.17,54.49,0.037
+26.17,65.02,0.027
+26.17,77.16,0.017
+26.17,91.33,0.011
+26.17,109.2,0.006
+26.17,129.75,0.003
+31.63,15.49,0.024
+31.63,18.48,0.054
+31.63,22.33,0.065
+31.63,26.67,0.072
+31.63,32.16,0.067
+31.63,38.59,0.054
+31.63,45.66,0.049
+31.63,54.49,0.036
+31.63,65.02,0.026
+31.63,77.16,0.017
+31.63,91.33,0.011
+31.63,109.2,0.006
+31.63,129.75,0.003
+37.8,15.49,0.02
+37.8,18.48,0.046
+37.8,22.33,0.055
+37.8,26.67,0.061
+37.8,32.16,0.057
+37.8,38.59,0.046
+37.8,45.66,0.041
+37.8,54.49,0.031
+37.8,65.02,0.023
+37.8,77.16,0.014
+37.8,91.33,0.009
+37.8,109.2,0.005
+37.8,129.75,0.003
+44.75,15.49,0.02
+44.75,18.48,0.045
+44.75,22.33,0.054
+44.75,26.67,0.06
+44.75,32.16,0.056
+44.75,38.59,0.045
+44.75,45.66,0.041
+44.75,54.49,0.03
+44.75,65.02,0.022
+44.75,77.16,0.014
+44.75,91.33,0.009
+44.75,109.2,0.005
+44.75,129.75,0.003
+53.31,15.49,0.019
+53.31,18.48,0.042
+53.31,22.33,0.051
+53.31,26.67,0.056
+53.31,32.16,0.052
+53.31,38.59,0.042
+53.31,45.66,0.038
+53.31,54.49,0.028
+53.31,65.02,0.021
+53.31,77.16,0.013
+53.31,91.33,0.009
+53.31,109.2,0.005
+53.31,129.75,0.003
+63.64,15.49,0.02
+63.64,18.48,0.045
+63.64,22.33,0.055
+63.64,26.67,0.06
+63.64,32.16,0.056
+63.64,38.59,0.045
+63.64,45.66,0.041
+63.64,54.49,0.031
+63.64,65.02,0.022
+63.64,77.16,0.014
+63.64,91.33,0.009
+63.64,109.2,0.005
+63.64,129.75,0.003
+75.32,15.49,0.023
+75.32,18.48,0.051
+75.32,22.33,0.062
+75.32,26.67,0.068
+75.32,32.16,0.064
+75.32,38.59,0.051
+75.32,45.66,0.046
+75.32,54.49,0.035
+75.32,65.02,0.025
+75.32,77.16,0.016
+75.32,91.33,0.01
+75.32,109.2,0.006
+75.32,129.75,0.003
+89.66,15.49,0.022
+89.66,18.48,0.049
+89.66,22.33,0.058
+89.66,26.67,0.064
+89.66,32.16,0.06
+89.66,38.59,0.048
+89.66,45.66,0.043
+89.66,54.49,0.033
+89.66,65.02,0.024
+89.66,77.16,0.015
+89.66,91.33,0.01
+89.66,109.2,0.006
+89.66,129.75,0.003
+105.63,15.49,0.019
+105.63,18.48,0.043
+105.63,22.33,0.052
+105.63,26.67,0.057
+105.63,32.16,0.053
+105.63,38.59,0.043
+105.63,45.66,0.039
+105.63,54.49,0.029
+105.63,65.02,0.021
+105.63,77.16,0.013
+105.63,91.33,0.009
+105.63,109.2,0.005
+105.63,129.75,0.003
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv
new file mode 100644
index 0000000000..1e6f4a26a6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv
@@ -0,0 +1,152 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t13
+#: name: Dijet topology A - Dijet topology C correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology A) with forward-central dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijA-C.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA-DijetC
+15.74,15.72,0.009
+15.74,18.9,0.018
+15.74,22.24,0.022
+15.74,27.14,0.023
+15.74,33.03,0.022
+15.74,39.35,0.017
+15.74,46.62,0.015
+15.74,55.74,0.012
+15.74,66.39,0.008
+15.74,78.97,0.005
+15.74,94.22,0.003
+15.74,111.48,0.002
+18.5,15.72,0.047
+18.5,18.9,0.096
+18.5,22.24,0.116
+18.5,27.14,0.125
+18.5,33.03,0.115
+18.5,39.35,0.092
+18.5,46.62,0.082
+18.5,55.74,0.061
+18.5,66.39,0.044
+18.5,78.97,0.028
+18.5,94.22,0.018
+18.5,111.48,0.011
+21.96,15.72,0.013
+21.96,18.9,0.027
+21.96,22.24,0.032
+21.96,27.14,0.035
+21.96,33.03,0.032
+21.96,39.35,0.025
+21.96,46.62,0.023
+21.96,55.74,0.017
+21.96,66.39,0.012
+21.96,78.97,0.008
+21.96,94.22,0.005
+21.96,111.48,0.003
+26.17,15.72,0.022
+26.17,18.9,0.046
+26.17,22.24,0.055
+26.17,27.14,0.059
+26.17,33.03,0.055
+26.17,39.35,0.044
+26.17,46.62,0.039
+26.17,55.74,0.029
+26.17,66.39,0.021
+26.17,78.97,0.013
+26.17,94.22,0.009
+26.17,111.48,0.005
+31.63,15.72,0.02
+31.63,18.9,0.041
+31.63,22.24,0.049
+31.63,27.14,0.053
+31.63,33.03,0.049
+31.63,39.35,0.039
+31.63,46.62,0.035
+31.63,55.74,0.026
+31.63,66.39,0.019
+31.63,78.97,0.012
+31.63,94.22,0.008
+31.63,111.48,0.004
+37.8,15.72,0.016
+37.8,18.9,0.033
+37.8,22.24,0.039
+37.8,27.14,0.042
+37.8,33.03,0.039
+37.8,39.35,0.031
+37.8,46.62,0.028
+37.8,55.74,0.021
+37.8,66.39,0.015
+37.8,78.97,0.01
+37.8,94.22,0.006
+37.8,111.48,0.004
+44.75,15.72,0.015
+44.75,18.9,0.031
+44.75,22.24,0.038
+44.75,27.14,0.041
+44.75,33.03,0.038
+44.75,39.35,0.03
+44.75,46.62,0.027
+44.75,55.74,0.02
+44.75,66.39,0.014
+44.75,78.97,0.009
+44.75,94.22,0.006
+44.75,111.48,0.003
+53.31,15.72,0.014
+53.31,18.9,0.029
+53.31,22.24,0.035
+53.31,27.14,0.038
+53.31,33.03,0.035
+53.31,39.35,0.028
+53.31,46.62,0.025
+53.31,55.74,0.019
+53.31,66.39,0.013
+53.31,78.97,0.009
+53.31,94.22,0.006
+53.31,111.48,0.003
+63.64,15.72,0.016
+63.64,18.9,0.034
+63.64,22.24,0.04
+63.64,27.14,0.044
+63.64,33.03,0.04
+63.64,39.35,0.032
+63.64,46.62,0.029
+63.64,55.74,0.021
+63.64,66.39,0.015
+63.64,78.97,0.01
+63.64,94.22,0.006
+63.64,111.48,0.004
+75.32,15.72,0.021
+75.32,18.9,0.043
+75.32,22.24,0.052
+75.32,27.14,0.056
+75.32,33.03,0.051
+75.32,39.35,0.041
+75.32,46.62,0.037
+75.32,55.74,0.027
+75.32,66.39,0.02
+75.32,78.97,0.013
+75.32,94.22,0.008
+75.32,111.48,0.005
+89.66,15.72,0.02
+89.66,18.9,0.04
+89.66,22.24,0.049
+89.66,27.14,0.052
+89.66,33.03,0.048
+89.66,39.35,0.039
+89.66,46.62,0.035
+89.66,55.74,0.026
+89.66,66.39,0.019
+89.66,78.97,0.012
+89.66,94.22,0.008
+89.66,111.48,0.004
+105.63,15.72,0.021
+105.63,18.9,0.044
+105.63,22.24,0.053
+105.63,27.14,0.057
+105.63,33.03,0.052
+105.63,39.35,0.042
+105.63,46.62,0.037
+105.63,55.74,0.028
+105.63,66.39,0.02
+105.63,78.97,0.013
+105.63,94.22,0.008
+105.63,111.48,0.005
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv
new file mode 100644
index 0000000000..ba66cb31db
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv
@@ -0,0 +1,152 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t14
+#: name: Dijet topology A - Dijet topology D correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology A) with forward-central dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijA-D.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA-DijetD
+15.74,18.2,0.029
+15.74,21.67,0.039
+15.74,26.12,0.044
+15.74,31.42,0.043
+15.74,37.33,0.036
+15.74,44.6,0.033
+15.74,53.61,0.025
+15.74,63.38,0.019
+15.74,75.52,0.012
+15.74,89.6,0.008
+15.74,106.63,0.005
+15.74,127.17,0.003
+18.5,18.2,0.062
+18.5,21.67,0.084
+18.5,26.12,0.096
+18.5,31.42,0.094
+18.5,37.33,0.078
+18.5,44.6,0.071
+18.5,53.61,0.054
+18.5,63.38,0.04
+18.5,75.52,0.026
+18.5,89.6,0.017
+18.5,106.63,0.01
+18.5,127.17,0.005
+21.96,18.2,0.026
+21.96,21.67,0.035
+21.96,26.12,0.041
+21.96,31.42,0.04
+21.96,37.33,0.033
+21.96,44.6,0.03
+21.96,53.61,0.023
+21.96,63.38,0.017
+21.96,75.52,0.011
+21.96,89.6,0.007
+21.96,106.63,0.004
+21.96,127.17,0.002
+26.17,18.2,0.067
+26.17,21.67,0.092
+26.17,26.12,0.105
+26.17,31.42,0.103
+26.17,37.33,0.084
+26.17,44.6,0.077
+26.17,53.61,0.059
+26.17,63.38,0.044
+26.17,75.52,0.029
+26.17,89.6,0.019
+26.17,106.63,0.011
+26.17,127.17,0.006
+31.63,18.2,0.058
+31.63,21.67,0.078
+31.63,26.12,0.09
+31.63,31.42,0.088
+31.63,37.33,0.072
+31.63,44.6,0.066
+31.63,53.61,0.051
+31.63,63.38,0.038
+31.63,75.52,0.025
+31.63,89.6,0.016
+31.63,106.63,0.01
+31.63,127.17,0.005
+37.8,18.2,0.043
+37.8,21.67,0.058
+37.8,26.12,0.067
+37.8,31.42,0.065
+37.8,37.33,0.054
+37.8,44.6,0.049
+37.8,53.61,0.038
+37.8,63.38,0.028
+37.8,75.52,0.018
+37.8,89.6,0.012
+37.8,106.63,0.007
+37.8,127.17,0.004
+44.75,18.2,0.038
+44.75,21.67,0.052
+44.75,26.12,0.059
+44.75,31.42,0.058
+44.75,37.33,0.048
+44.75,44.6,0.044
+44.75,53.61,0.034
+44.75,63.38,0.025
+44.75,75.52,0.016
+44.75,89.6,0.011
+44.75,106.63,0.006
+44.75,127.17,0.003
+53.31,18.2,0.032
+53.31,21.67,0.044
+53.31,26.12,0.05
+53.31,31.42,0.049
+53.31,37.33,0.041
+53.31,44.6,0.037
+53.31,53.61,0.028
+53.31,63.38,0.021
+53.31,75.52,0.014
+53.31,89.6,0.009
+53.31,106.63,0.005
+53.31,127.17,0.003
+63.64,18.2,0.031
+63.64,21.67,0.042
+63.64,26.12,0.048
+63.64,31.42,0.047
+63.64,37.33,0.038
+63.64,44.6,0.035
+63.64,53.61,0.027
+63.64,63.38,0.02
+63.64,75.52,0.013
+63.64,89.6,0.009
+63.64,106.63,0.005
+63.64,127.17,0.003
+75.32,18.2,0.032
+75.32,21.67,0.043
+75.32,26.12,0.049
+75.32,31.42,0.048
+75.32,37.33,0.04
+75.32,44.6,0.036
+75.32,53.61,0.028
+75.32,63.38,0.021
+75.32,75.52,0.014
+75.32,89.6,0.009
+75.32,106.63,0.005
+75.32,127.17,0.003
+89.66,18.2,0.03
+89.66,21.67,0.041
+89.66,26.12,0.047
+89.66,31.42,0.046
+89.66,37.33,0.038
+89.66,44.6,0.034
+89.66,53.61,0.026
+89.66,63.38,0.02
+89.66,75.52,0.013
+89.66,89.6,0.008
+89.66,106.63,0.005
+89.66,127.17,0.003
+105.63,18.2,0.028
+105.63,21.67,0.038
+105.63,26.12,0.044
+105.63,31.42,0.043
+105.63,37.33,0.035
+105.63,44.6,0.032
+105.63,53.61,0.025
+105.63,63.38,0.018
+105.63,75.52,0.012
+105.63,89.6,0.008
+105.63,106.63,0.005
+105.63,127.17,0.002
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv
new file mode 100644
index 0000000000..b01d7a8276
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv
@@ -0,0 +1,99 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t15
+#: name: Dijet topology B correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology B). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijB.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetB
+15.49,15.49,1.0
+15.49,18.48,0.02
+15.49,22.33,0.024
+15.49,26.67,0.027
+15.49,32.16,0.025
+15.49,38.59,0.021
+15.49,45.66,0.019
+15.49,54.49,0.014
+15.49,65.02,0.01
+15.49,77.16,0.007
+15.49,91.33,0.004
+15.49,109.2,0.003
+15.49,129.75,0.001
+18.48,18.48,1.0
+18.48,22.33,0.059
+18.48,26.67,0.066
+18.48,32.16,0.062
+18.48,38.59,0.051
+18.48,45.66,0.046
+18.48,54.49,0.035
+18.48,65.02,0.026
+18.48,77.16,0.017
+18.48,91.33,0.011
+18.48,109.2,0.007
+18.48,129.75,0.004
+22.33,22.33,1.0
+22.33,26.67,0.08
+22.33,32.16,0.076
+22.33,38.59,0.061
+22.33,45.66,0.056
+22.33,54.49,0.042
+22.33,65.02,0.031
+22.33,77.16,0.02
+22.33,91.33,0.013
+22.33,109.2,0.008
+22.33,129.75,0.004
+26.67,26.67,1.0
+26.67,32.16,0.089
+26.67,38.59,0.072
+26.67,45.66,0.065
+26.67,54.49,0.05
+26.67,65.02,0.036
+26.67,77.16,0.024
+26.67,91.33,0.016
+26.67,109.2,0.009
+26.67,129.75,0.005
+32.16,32.16,1.0
+32.16,38.59,0.074
+32.16,45.66,0.067
+32.16,54.49,0.051
+32.16,65.02,0.037
+32.16,77.16,0.024
+32.16,91.33,0.016
+32.16,109.2,0.01
+32.16,129.75,0.005
+38.59,38.59,1.0
+38.59,45.66,0.058
+38.59,54.49,0.044
+38.59,65.02,0.033
+38.59,77.16,0.021
+38.59,91.33,0.014
+38.59,109.2,0.008
+38.59,129.75,0.004
+45.66,45.66,1.0
+45.66,54.49,0.043
+45.66,65.02,0.032
+45.66,77.16,0.021
+45.66,91.33,0.014
+45.66,109.2,0.008
+45.66,129.75,0.004
+54.49,54.49,1.0
+54.49,65.02,0.03
+54.49,77.16,0.019
+54.49,91.33,0.013
+54.49,109.2,0.008
+54.49,129.75,0.004
+65.02,65.02,1.0
+65.02,77.16,0.021
+65.02,91.33,0.014
+65.02,109.2,0.008
+65.02,129.75,0.004
+77.16,77.16,1.0
+77.16,91.33,0.014
+77.16,109.2,0.009
+77.16,129.75,0.005
+91.33,91.33,1.0
+91.33,109.2,0.008
+91.33,129.75,0.004
+109.2,109.2,1.0
+109.2,129.75,0.003
+129.75,129.75,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv
new file mode 100644
index 0000000000..3002182748
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv
@@ -0,0 +1,164 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t16
+#: name: Dijet topology B - Dijet topology C correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology B) with forward-central dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijB-C.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetB-DijetC
+15.49,15.72,0.009
+15.49,18.9,0.02
+15.49,22.24,0.024
+15.49,27.14,0.027
+15.49,33.03,0.025
+15.49,39.35,0.02
+15.49,46.62,0.018
+15.49,55.74,0.014
+15.49,66.39,0.01
+15.49,78.97,0.006
+15.49,94.22,0.004
+15.49,111.48,0.003
+18.48,15.72,0.039
+18.48,18.9,0.086
+18.48,22.24,0.105
+18.48,27.14,0.115
+18.48,33.03,0.107
+18.48,39.35,0.086
+18.48,46.62,0.078
+18.48,55.74,0.059
+18.48,66.39,0.043
+18.48,78.97,0.028
+18.48,94.22,0.018
+18.48,111.48,0.011
+22.33,15.72,0.016
+22.33,18.9,0.036
+22.33,22.24,0.044
+22.33,27.14,0.048
+22.33,33.03,0.045
+22.33,39.35,0.036
+22.33,46.62,0.032
+22.33,55.74,0.024
+22.33,66.39,0.018
+22.33,78.97,0.011
+22.33,94.22,0.008
+22.33,111.48,0.004
+26.67,15.72,0.026
+26.67,18.9,0.057
+26.67,22.24,0.07
+26.67,27.14,0.077
+26.67,33.03,0.072
+26.67,39.35,0.058
+26.67,46.62,0.052
+26.67,55.74,0.039
+26.67,66.39,0.029
+26.67,78.97,0.018
+26.67,94.22,0.012
+26.67,111.48,0.007
+32.16,15.72,0.024
+32.16,18.9,0.053
+32.16,22.24,0.065
+32.16,27.14,0.071
+32.16,33.03,0.066
+32.16,39.35,0.053
+32.16,46.62,0.048
+32.16,55.74,0.036
+32.16,66.39,0.026
+32.16,78.97,0.017
+32.16,94.22,0.011
+32.16,111.48,0.007
+38.59,15.72,0.02
+38.59,18.9,0.044
+38.59,22.24,0.053
+38.59,27.14,0.058
+38.59,33.03,0.055
+38.59,39.35,0.044
+38.59,46.62,0.039
+38.59,55.74,0.03
+38.59,66.39,0.022
+38.59,78.97,0.014
+38.59,94.22,0.009
+38.59,111.48,0.005
+45.66,15.72,0.019
+45.66,18.9,0.043
+45.66,22.24,0.053
+45.66,27.14,0.058
+45.66,33.03,0.054
+45.66,39.35,0.044
+45.66,46.62,0.039
+45.66,55.74,0.029
+45.66,66.39,0.022
+45.66,78.97,0.014
+45.66,94.22,0.009
+45.66,111.48,0.005
+54.49,15.72,0.018
+54.49,18.9,0.041
+54.49,22.24,0.049
+54.49,27.14,0.054
+54.49,33.03,0.051
+54.49,39.35,0.041
+54.49,46.62,0.037
+54.49,55.74,0.028
+54.49,66.39,0.02
+54.49,78.97,0.013
+54.49,94.22,0.009
+54.49,111.48,0.005
+65.02,15.72,0.02
+65.02,18.9,0.045
+65.02,22.24,0.055
+65.02,27.14,0.06
+65.02,33.03,0.057
+65.02,39.35,0.045
+65.02,46.62,0.041
+65.02,55.74,0.031
+65.02,66.39,0.022
+65.02,78.97,0.015
+65.02,94.22,0.01
+65.02,111.48,0.006
+77.16,15.72,0.024
+77.16,18.9,0.053
+77.16,22.24,0.065
+77.16,27.14,0.071
+77.16,33.03,0.067
+77.16,39.35,0.054
+77.16,46.62,0.048
+77.16,55.74,0.036
+77.16,66.39,0.027
+77.16,78.97,0.017
+77.16,94.22,0.011
+77.16,111.48,0.007
+91.33,15.72,0.021
+91.33,18.9,0.046
+91.33,22.24,0.057
+91.33,27.14,0.062
+91.33,33.03,0.058
+91.33,39.35,0.047
+91.33,46.62,0.042
+91.33,55.74,0.032
+91.33,66.39,0.023
+91.33,78.97,0.015
+91.33,94.22,0.01
+91.33,111.48,0.006
+109.2,15.72,0.019
+109.2,18.9,0.042
+109.2,22.24,0.051
+109.2,27.14,0.056
+109.2,33.03,0.053
+109.2,39.35,0.042
+109.2,46.62,0.038
+109.2,55.74,0.029
+109.2,66.39,0.021
+109.2,78.97,0.014
+109.2,94.22,0.009
+109.2,111.48,0.005
+129.75,15.72,0.057
+129.75,18.9,0.126
+129.75,22.24,0.154
+129.75,27.14,0.169
+129.75,33.03,0.158
+129.75,39.35,0.127
+129.75,46.62,0.114
+129.75,55.74,0.086
+129.75,66.39,0.063
+129.75,78.97,0.041
+129.75,94.22,0.027
+129.75,111.48,0.016
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv
new file mode 100644
index 0000000000..9312d55d2b
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv
@@ -0,0 +1,164 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t17
+#: name: Dijet topology B - Dijet topology D correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology B) with forward-central dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijB-D.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetB-DijetD
+15.49,18.2,0.031
+15.49,21.67,0.043
+15.49,26.12,0.05
+15.49,31.42,0.05
+15.49,37.33,0.041
+15.49,44.6,0.038
+15.49,53.61,0.03
+15.49,63.38,0.022
+15.49,75.52,0.015
+15.49,89.6,0.01
+15.49,106.63,0.006
+15.49,127.17,0.003
+18.48,18.2,0.055
+18.48,21.67,0.076
+18.48,26.12,0.088
+18.48,31.42,0.087
+18.48,37.33,0.072
+18.48,44.6,0.066
+18.48,53.61,0.052
+18.48,63.38,0.039
+18.48,75.52,0.026
+18.48,89.6,0.017
+18.48,106.63,0.01
+18.48,127.17,0.006
+22.33,18.2,0.035
+22.33,21.67,0.048
+22.33,26.12,0.055
+22.33,31.42,0.055
+22.33,37.33,0.046
+22.33,44.6,0.042
+22.33,53.61,0.033
+22.33,63.38,0.025
+22.33,75.52,0.016
+22.33,89.6,0.011
+22.33,106.63,0.007
+22.33,127.17,0.004
+26.67,18.2,0.084
+26.67,21.67,0.116
+26.67,26.12,0.134
+26.67,31.42,0.133
+26.67,37.33,0.111
+26.67,44.6,0.102
+26.67,53.61,0.079
+26.67,63.38,0.06
+26.67,75.52,0.039
+26.67,89.6,0.027
+26.67,106.63,0.016
+26.67,127.17,0.009
+32.16,18.2,0.075
+32.16,21.67,0.103
+32.16,26.12,0.119
+32.16,31.42,0.118
+32.16,37.33,0.098
+32.16,44.6,0.09
+32.16,53.61,0.07
+32.16,63.38,0.053
+32.16,75.52,0.035
+32.16,89.6,0.024
+32.16,106.63,0.014
+32.16,127.17,0.008
+38.59,18.2,0.057
+38.59,21.67,0.079
+38.59,26.12,0.091
+38.59,31.42,0.09
+38.59,37.33,0.075
+38.59,44.6,0.069
+38.59,53.61,0.054
+38.59,63.38,0.04
+38.59,75.52,0.027
+38.59,89.6,0.018
+38.59,106.63,0.011
+38.59,127.17,0.006
+45.66,18.2,0.052
+45.66,21.67,0.072
+45.66,26.12,0.083
+45.66,31.42,0.083
+45.66,37.33,0.069
+45.66,44.6,0.063
+45.66,53.61,0.049
+45.66,63.38,0.037
+45.66,75.52,0.024
+45.66,89.6,0.016
+45.66,106.63,0.01
+45.66,127.17,0.005
+54.49,18.2,0.044
+54.49,21.67,0.062
+54.49,26.12,0.071
+54.49,31.42,0.07
+54.49,37.33,0.058
+54.49,44.6,0.054
+54.49,53.61,0.042
+54.49,63.38,0.032
+54.49,75.52,0.021
+54.49,89.6,0.014
+54.49,106.63,0.008
+54.49,127.17,0.005
+65.02,18.2,0.041
+65.02,21.67,0.057
+65.02,26.12,0.065
+65.02,31.42,0.065
+65.02,37.33,0.054
+65.02,44.6,0.05
+65.02,53.61,0.039
+65.02,63.38,0.029
+65.02,75.52,0.019
+65.02,89.6,0.013
+65.02,106.63,0.008
+65.02,127.17,0.004
+77.16,18.2,0.039
+77.16,21.67,0.055
+77.16,26.12,0.063
+77.16,31.42,0.062
+77.16,37.33,0.052
+77.16,44.6,0.048
+77.16,53.61,0.037
+77.16,63.38,0.028
+77.16,75.52,0.018
+77.16,89.6,0.012
+77.16,106.63,0.007
+77.16,127.17,0.004
+91.33,18.2,0.034
+91.33,21.67,0.048
+91.33,26.12,0.055
+91.33,31.42,0.055
+91.33,37.33,0.045
+91.33,44.6,0.042
+91.33,53.61,0.032
+91.33,63.38,0.024
+91.33,75.52,0.016
+91.33,89.6,0.011
+91.33,106.63,0.007
+91.33,127.17,0.004
+109.2,18.2,0.027
+109.2,21.67,0.037
+109.2,26.12,0.043
+109.2,31.42,0.043
+109.2,37.33,0.035
+109.2,44.6,0.033
+109.2,53.61,0.025
+109.2,63.38,0.019
+109.2,75.52,0.013
+109.2,89.6,0.008
+109.2,106.63,0.005
+109.2,127.17,0.003
+129.75,18.2,0.063
+129.75,21.67,0.087
+129.75,26.12,0.1
+129.75,31.42,0.099
+129.75,37.33,0.082
+129.75,44.6,0.076
+129.75,53.61,0.059
+129.75,63.38,0.044
+129.75,75.52,0.029
+129.75,89.6,0.02
+129.75,106.63,0.012
+129.75,127.17,0.007
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv
new file mode 100644
index 0000000000..91b0628ba6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t18
+#: name: Dijet topology C correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijC.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetC
+15.72,15.72,1.0
+15.72,18.9,0.02
+15.72,22.24,0.025
+15.72,27.14,0.026
+15.72,33.03,0.024
+15.72,39.35,0.019
+15.72,46.62,0.017
+15.72,55.74,0.013
+15.72,66.39,0.009
+15.72,78.97,0.006
+15.72,94.22,0.004
+15.72,111.48,0.002
+18.9,18.9,1.0
+18.9,22.24,0.183
+18.9,27.14,0.196
+18.9,33.03,0.181
+18.9,39.35,0.145
+18.9,46.62,0.13
+18.9,55.74,0.097
+18.9,66.39,0.07
+18.9,78.97,0.045
+18.9,94.22,0.03
+18.9,111.48,0.018
+22.24,22.24,1.0
+22.24,27.14,0.028
+22.24,33.03,0.026
+22.24,39.35,0.021
+22.24,46.62,0.019
+22.24,55.74,0.014
+22.24,66.39,0.01
+22.24,78.97,0.006
+22.24,94.22,0.004
+22.24,111.48,0.003
+27.14,27.14,1.0
+27.14,33.03,0.058
+27.14,39.35,0.046
+27.14,46.62,0.041
+27.14,55.74,0.031
+27.14,66.39,0.022
+27.14,78.97,0.014
+27.14,94.22,0.009
+27.14,111.48,0.006
+33.03,33.03,1.0
+33.03,39.35,0.038
+33.03,46.62,0.034
+33.03,55.74,0.025
+33.03,66.39,0.018
+33.03,78.97,0.012
+33.03,94.22,0.008
+33.03,111.48,0.005
+39.35,39.35,1.0
+39.35,46.62,0.027
+39.35,55.74,0.02
+39.35,66.39,0.014
+39.35,78.97,0.009
+39.35,94.22,0.006
+39.35,111.48,0.004
+46.62,46.62,1.0
+46.62,55.74,0.019
+46.62,66.39,0.014
+46.62,78.97,0.009
+46.62,94.22,0.006
+46.62,111.48,0.004
+55.74,55.74,1.0
+55.74,66.39,0.013
+55.74,78.97,0.008
+55.74,94.22,0.006
+55.74,111.48,0.003
+66.39,66.39,1.0
+66.39,78.97,0.01
+66.39,94.22,0.007
+66.39,111.48,0.004
+78.97,78.97,1.0
+78.97,94.22,0.009
+78.97,111.48,0.005
+94.22,94.22,1.0
+94.22,111.48,0.005
+111.48,111.48,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv
new file mode 100644
index 0000000000..2ae48ee0d0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv
@@ -0,0 +1,152 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t19
+#: name: Dijet topology C - Dijet topology D correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology C) with forward-central dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijC-D.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetC-DijetD
+15.72,18.2,0.032
+15.72,21.67,0.044
+15.72,26.12,0.05
+15.72,31.42,0.049
+15.72,37.33,0.04
+15.72,44.6,0.037
+15.72,53.61,0.028
+15.72,63.38,0.021
+15.72,75.52,0.014
+15.72,89.6,0.009
+15.72,106.63,0.006
+15.72,127.17,0.003
+18.9,18.2,0.097
+18.9,21.67,0.134
+18.9,26.12,0.152
+18.9,31.42,0.15
+18.9,37.33,0.123
+18.9,44.6,0.113
+18.9,53.61,0.087
+18.9,63.38,0.065
+18.9,75.52,0.043
+18.9,89.6,0.029
+18.9,106.63,0.017
+18.9,127.17,0.01
+22.24,18.2,0.021
+22.24,21.67,0.029
+22.24,26.12,0.033
+22.24,31.42,0.032
+22.24,37.33,0.027
+22.24,44.6,0.024
+22.24,53.61,0.019
+22.24,63.38,0.014
+22.24,75.52,0.009
+22.24,89.6,0.006
+22.24,106.63,0.004
+22.24,127.17,0.002
+27.14,18.2,0.07
+27.14,21.67,0.097
+27.14,26.12,0.11
+27.14,31.42,0.108
+27.14,37.33,0.089
+27.14,44.6,0.082
+27.14,53.61,0.063
+27.14,63.38,0.047
+27.14,75.52,0.031
+27.14,89.6,0.021
+27.14,106.63,0.012
+27.14,127.17,0.007
+33.03,18.2,0.056
+33.03,21.67,0.078
+33.03,26.12,0.088
+33.03,31.42,0.087
+33.03,37.33,0.071
+33.03,44.6,0.065
+33.03,53.61,0.05
+33.03,63.38,0.037
+33.03,75.52,0.025
+33.03,89.6,0.017
+33.03,106.63,0.01
+33.03,127.17,0.006
+39.35,18.2,0.04
+39.35,21.67,0.056
+39.35,26.12,0.063
+39.35,31.42,0.062
+39.35,37.33,0.051
+39.35,44.6,0.047
+39.35,53.61,0.036
+39.35,63.38,0.027
+39.35,75.52,0.018
+39.35,89.6,0.012
+39.35,106.63,0.007
+39.35,127.17,0.004
+46.62,18.2,0.036
+46.62,21.67,0.05
+46.62,26.12,0.057
+46.62,31.42,0.056
+46.62,37.33,0.046
+46.62,44.6,0.042
+46.62,53.61,0.032
+46.62,63.38,0.024
+46.62,75.52,0.016
+46.62,89.6,0.011
+46.62,106.63,0.006
+46.62,127.17,0.004
+55.74,18.2,0.031
+55.74,21.67,0.043
+55.74,26.12,0.049
+55.74,31.42,0.048
+55.74,37.33,0.039
+55.74,44.6,0.036
+55.74,53.61,0.028
+55.74,63.38,0.021
+55.74,75.52,0.014
+55.74,89.6,0.009
+55.74,106.63,0.006
+55.74,127.17,0.003
+66.39,18.2,0.03
+66.39,21.67,0.042
+66.39,26.12,0.048
+66.39,31.42,0.047
+66.39,37.33,0.039
+66.39,44.6,0.035
+66.39,53.61,0.027
+66.39,63.38,0.02
+66.39,75.52,0.013
+66.39,89.6,0.009
+66.39,106.63,0.005
+66.39,127.17,0.003
+78.97,18.2,0.033
+78.97,21.67,0.046
+78.97,26.12,0.052
+78.97,31.42,0.051
+78.97,37.33,0.042
+78.97,44.6,0.038
+78.97,53.61,0.029
+78.97,63.38,0.022
+78.97,75.52,0.014
+78.97,89.6,0.01
+78.97,106.63,0.006
+78.97,127.17,0.003
+94.22,18.2,0.029
+94.22,21.67,0.04
+94.22,26.12,0.045
+94.22,31.42,0.044
+94.22,37.33,0.036
+94.22,44.6,0.033
+94.22,53.61,0.026
+94.22,63.38,0.019
+94.22,75.52,0.013
+94.22,89.6,0.008
+94.22,106.63,0.005
+94.22,127.17,0.003
+111.48,18.2,0.027
+111.48,21.67,0.038
+111.48,26.12,0.043
+111.48,31.42,0.042
+111.48,37.33,0.035
+111.48,44.6,0.032
+111.48,53.61,0.024
+111.48,63.38,0.018
+111.48,75.52,0.012
+111.48,89.6,0.008
+111.48,106.63,0.005
+111.48,127.17,0.003
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv
new file mode 100644
index 0000000000..aca0dc39f5
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t20
+#: name: Dijet topology D correlation
+#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: DijD.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetD
+18.2,18.2,1.0
+18.2,21.67,0.097
+18.2,26.12,0.115
+18.2,31.42,0.12
+18.2,37.33,0.103
+18.2,44.6,0.096
+18.2,53.61,0.077
+18.2,63.38,0.059
+18.2,75.52,0.04
+18.2,89.6,0.027
+18.2,106.63,0.017
+18.2,127.17,0.009
+21.67,21.67,1.0
+21.67,26.12,0.038
+21.67,31.42,0.04
+21.67,37.33,0.034
+21.67,44.6,0.032
+21.67,53.61,0.025
+21.67,63.38,0.019
+21.67,75.52,0.013
+21.67,89.6,0.009
+21.67,106.63,0.005
+21.67,127.17,0.003
+26.12,26.12,1.0
+26.12,31.42,0.197
+26.12,37.33,0.168
+26.12,44.6,0.158
+26.12,53.61,0.125
+26.12,63.38,0.097
+26.12,75.52,0.065
+26.12,89.6,0.045
+26.12,106.63,0.027
+26.12,127.17,0.015
+31.42,31.42,1.0
+31.42,37.33,0.13
+31.42,44.6,0.122
+31.42,53.61,0.097
+31.42,63.38,0.075
+31.42,75.52,0.05
+31.42,89.6,0.034
+31.42,106.63,0.021
+31.42,127.17,0.012
+37.33,37.33,1.0
+37.33,44.6,0.082
+37.33,53.61,0.065
+37.33,63.38,0.05
+37.33,75.52,0.034
+37.33,89.6,0.023
+37.33,106.63,0.014
+37.33,127.17,0.008
+44.6,44.6,1.0
+44.6,53.61,0.054
+44.6,63.38,0.042
+44.6,75.52,0.028
+44.6,89.6,0.019
+44.6,106.63,0.012
+44.6,127.17,0.007
+53.61,53.61,1.0
+53.61,63.38,0.032
+53.61,75.52,0.022
+53.61,89.6,0.015
+53.61,106.63,0.009
+53.61,127.17,0.005
+63.38,63.38,1.0
+63.38,75.52,0.018
+63.38,89.6,0.012
+63.38,106.63,0.007
+63.38,127.17,0.004
+75.52,75.52,1.0
+75.52,89.6,0.011
+75.52,106.63,0.007
+75.52,127.17,0.004
+89.6,89.6,1.0
+89.6,106.63,0.006
+89.6,127.17,0.003
+106.63,106.63,1.0
+106.63,127.17,0.003
+127.17,127.17,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv
new file mode 100644
index 0000000000..a2811b10a3
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv
@@ -0,0 +1,54 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t1
+#: name: Figure 3
+#: description: Parton jet $p_T$ vs $A_{LL}$ values with associated uncertainties.
+#: data_file: InclusiveJet.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET X
+Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range LOW,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range HIGH,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$,syst +,syst -
+0.03055,0.02719,0.03391,0.03055,0.00336,-0.00336
+0.037725,0.03542,0.04003,0.03773,0.0023,-0.0023
+0.045759999999999995,0.04391,0.04761,0.04576,0.00185,-0.00185
+0.053290000000000004,0.05129,0.05529,0.05329,0.002,-0.002
+0.061805,0.05969,0.06392,0.0618,0.00211,-0.00211
+0.078,0.07516,0.08084,0.078,0.00284,-0.00284
+0.088945,0.08577,0.09212,0.08894,0.00318,-0.00318
+0.10172500000000001,0.09822,0.10523,0.10173,0.0035,-0.0035
+0.11667,0.11273,0.12061,0.11667,0.00394,-0.00394
+0.13446999999999998,0.12971,0.13923,0.13447,0.00476,-0.00476
+0.155255,0.14978,0.16073,0.15525,0.00548,-0.00548
+0.179455,0.17348,0.18543,0.17945,0.00597,-0.00597
+0.20851,0.20173,0.21529,0.20851,0.00678,-0.00678
+0.24066500000000002,0.23302,0.24831,0.24067,0.00765,-0.00765
+
+Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range LOW,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range HIGH,Parton Jet $p_{T}$ (GeV/$c$),syst +,syst -
+0.03055,0.02719,0.03391,7.79,0.86,-0.86
+0.037725,0.03542,0.04003,9.62,0.59,-0.59
+0.045759999999999995,0.04391,0.04761,11.67,0.47,-0.47
+0.053290000000000004,0.05129,0.05529,13.59,0.51,-0.51
+0.061805,0.05969,0.06392,15.76,0.54,-0.54
+0.078,0.07516,0.08084,19.89,0.73,-0.73
+0.088945,0.08577,0.09212,22.68,0.81,-0.81
+0.10172500000000001,0.09822,0.10523,25.94,0.89,-0.89
+0.11667,0.11273,0.12061,29.75,1.0,-1.0
+0.13446999999999998,0.12971,0.13923,34.29,1.21,-1.21
+0.155255,0.14978,0.16073,39.59,1.4,-1.4
+0.179455,0.17348,0.18543,45.76,1.52,-1.52
+0.20851,0.20173,0.21529,53.17,1.73,-1.73
+0.24066500000000002,0.23302,0.24831,61.37,1.95,-1.95
+
+Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range LOW,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range HIGH,Inclusive Jet $A_{LL}$,stat +,stat -,syst +,syst -
+0.03055,0.02719,0.03391,0.00626,0.00241,-0.00241,0.0006,-0.0006
+0.037725,0.03542,0.04003,0.00258,0.00249,-0.00249,0.00056,-0.00056
+0.045759999999999995,0.04391,0.04761,0.00277,0.00176,-0.00176,0.00054,-0.00054
+0.053290000000000004,0.05129,0.05529,-0.00075,0.00187,-0.00187,0.00054,-0.00054
+0.061805,0.05969,0.06392,-0.00085,0.00216,-0.00216,0.00051,-0.00051
+0.078,0.07516,0.08084,0.00444,0.00112,-0.00112,0.0005,-0.0005
+0.088945,0.08577,0.09212,0.00308,0.00114,-0.00114,0.0005,-0.0005
+0.10172500000000001,0.09822,0.10523,0.00572,0.00128,-0.00128,0.00051,-0.00051
+0.11667,0.11273,0.12061,0.01008,0.00161,-0.00161,0.00054,-0.00054
+0.13446999999999998,0.12971,0.13923,0.01033,0.00217,-0.00217,0.00059,-0.00059
+0.155255,0.14978,0.16073,0.01249,0.00312,-0.00312,0.00064,-0.00064
+0.179455,0.17348,0.18543,0.01824,0.00478,-0.00478,0.00068,-0.00068
+0.20851,0.20173,0.21529,0.02205,0.00788,-0.00788,0.00092,-0.00092
+0.24066500000000002,0.23302,0.24831,0.04527,0.01388,-0.01388,0.00212,-0.00212
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv
new file mode 100644
index 0000000000..7efc331aa9
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv
@@ -0,0 +1,34 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t2
+#: name: Figure 5 topology A
+#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology A.
+#: data_file: DijetA.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET JET X
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst -
+15.74,14.32,17.16,15.74,1.42,-1.42
+18.5,17.36,19.64,18.5,1.14,-1.14
+21.96,21.01,22.91,21.96,0.95,-0.95
+26.17,25.23,27.11,26.17,0.94,-0.94
+31.630000000000003,30.59,32.67,31.63,1.04,-1.04
+37.8,36.44,39.16,37.8,1.36,-1.36
+44.75,43.4,46.1,44.75,1.35,-1.35
+53.31,51.81,54.81,53.31,1.5,-1.5
+63.64,61.91,65.37,63.64,1.73,-1.73
+75.32,73.26,77.38,75.32,2.06,-2.06
+89.66,87.15,92.17,89.66,2.51,-2.51
+105.63,102.73,108.53,105.63,2.9,-2.9
+
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology A",stat +,stat -,syst +,syst -
+15.74,14.32,17.16,-0.00548,0.00619,-0.00619,0.00055,-0.00055
+18.5,17.36,19.64,-0.00011,0.00289,-0.00289,0.00074,-0.00074
+21.96,21.01,22.91,0.00165,0.00248,-0.00248,0.0005,-0.0005
+26.17,25.23,27.11,0.00129,0.00226,-0.00226,0.00055,-0.00055
+31.630000000000003,30.59,32.67,0.00248,0.00246,-0.00246,0.00056,-0.00056
+37.8,36.44,39.16,0.00581,0.00311,-0.00311,0.00057,-0.00057
+44.75,43.4,46.1,0.00666,0.00349,-0.00349,0.00059,-0.00059
+53.31,51.81,54.81,0.0114,0.00472,-0.00472,0.00066,-0.00066
+63.64,61.91,65.37,0.01826,0.00659,-0.00659,0.00082,-0.00082
+75.32,73.26,77.38,0.02431,0.01045,-0.01045,0.00114,-0.00114
+89.66,87.15,92.17,0.03638,0.01633,-0.01633,0.00144,-0.00144
+105.63,102.73,108.53,-0.00789,0.02919,-0.02919,0.00198,-0.00198
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv
new file mode 100644
index 0000000000..98b3cb8c59
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv
@@ -0,0 +1,36 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t3
+#: name: Figure 5 topology B
+#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology B.
+#: data_file: DijetB.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET JET X
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst -
+15.49,14.02,16.96,15.49,1.47,-1.47
+18.479999999999997,17.65,19.31,18.48,0.83,-0.83
+22.33,21.58,23.08,22.33,0.75,-0.75
+26.67,25.76,27.58,26.67,0.91,-0.91
+32.16,31.17,33.15,32.16,0.99,-0.99
+38.59,37.42,39.76,38.59,1.17,-1.17
+45.66,44.25,47.07,45.66,1.41,-1.41
+54.489999999999995,52.98,56.0,54.49,1.51,-1.51
+65.02,63.27,66.77,65.02,1.75,-1.75
+77.16,75.09,79.23,77.16,2.07,-2.07
+91.33000000000001,88.76,93.9,91.33,2.57,-2.57
+109.2,106.15,112.25,109.2,3.05,-3.05
+129.75,126.3,133.2,129.75,3.45,-3.45
+
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology B",stat +,stat -,syst +,syst -
+15.49,14.02,16.96,0.00381,0.00533,-0.00533,0.00048,-0.00048
+18.479999999999997,17.65,19.31,0.00299,0.00213,-0.00213,0.00048,-0.00048
+22.33,21.58,23.08,-0.00116,0.00173,-0.00173,0.00048,-0.00048
+26.67,25.76,27.58,0.00336,0.00152,-0.00152,0.00049,-0.00049
+32.16,31.17,33.15,-0.0006,0.00161,-0.00161,0.00051,-0.00051
+38.59,37.42,39.76,0.00154,0.00202,-0.00202,0.00053,-0.00053
+45.66,44.25,47.07,0.0062,0.00224,-0.00224,0.00056,-0.00056
+54.489999999999995,52.98,56.0,0.00865,0.00297,-0.00297,0.00062,-0.00062
+65.02,63.27,66.77,0.00806,0.00406,-0.00406,0.00074,-0.00074
+77.16,75.09,79.23,0.02428,0.00629,-0.00629,0.00094,-0.00094
+91.33000000000001,88.76,93.9,0.01063,0.00953,-0.00953,0.00108,-0.00108
+109.2,106.15,112.25,0.01248,0.01613,-0.01613,0.00121,-0.00121
+129.75,126.3,133.2,0.05037,0.02978,-0.02978,0.0028,-0.0028
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv
new file mode 100644
index 0000000000..abc0f66560
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv
@@ -0,0 +1,34 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t4
+#: name: Figure 5 topology C
+#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology C.
+#: data_file: DijetC.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET JET X
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst -
+15.72,14.18,17.26,15.72,1.54,-1.54
+18.9,17.91,19.89,18.9,0.99,-0.99
+22.240000000000002,21.22,23.26,22.24,1.02,-1.02
+27.14,26.16,28.12,27.14,0.98,-0.98
+33.03,31.94,34.12,33.03,1.09,-1.09
+39.35,37.92,40.78,39.35,1.43,-1.43
+46.62,45.08,48.16,46.62,1.54,-1.54
+55.74,54.03,57.45,55.74,1.71,-1.71
+66.38999999999999,64.46,68.32,66.39,1.93,-1.93
+78.97,76.71,81.23,78.97,2.26,-2.26
+94.22,91.37,97.07,94.22,2.85,-2.85
+111.48,108.26,114.7,111.48,3.22,-3.22
+
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology C",stat +,stat -,syst +,syst -
+15.72,14.18,17.26,-0.01155,0.00785,-0.00785,0.00079,-0.00079
+18.9,17.91,19.89,0.00075,0.00367,-0.00367,0.00153,-0.00153
+22.240000000000002,21.22,23.26,-0.00293,0.00317,-0.00317,0.00052,-0.00052
+27.14,26.16,28.12,0.00018,0.00291,-0.00291,0.00075,-0.00075
+33.03,31.94,34.12,0.00655,0.00317,-0.00317,0.00071,-0.00071
+39.35,37.92,40.78,0.00969,0.004,-0.004,0.0007,-0.0007
+46.62,45.08,48.16,0.00817,0.00448,-0.00448,0.00073,-0.00073
+55.74,54.03,57.45,0.01317,0.00603,-0.00603,0.00082,-0.00082
+66.38999999999999,64.46,68.32,0.01866,0.00833,-0.00833,0.00105,-0.00105
+78.97,76.71,81.23,0.01712,0.01292,-0.01292,0.00151,-0.00151
+94.22,91.37,97.07,0.01357,0.01964,-0.01964,0.00173,-0.00173
+111.48,108.26,114.7,-0.00575,0.03322,-0.03322,0.00236,-0.00236
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv
new file mode 100644
index 0000000000..a24a5f4ff1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv
@@ -0,0 +1,34 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t5
+#: name: Figure 5 topology D
+#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology D.
+#: data_file: DijetD.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET JET X
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst -
+18.200000000000003,17.05,19.35,18.2,1.15,-1.15
+21.67,20.63,22.71,21.67,1.04,-1.04
+26.119999999999997,25.08,27.16,26.12,1.04,-1.04
+31.419999999999998,30.4,32.44,31.42,1.02,-1.02
+37.33,36.08,38.58,37.33,1.25,-1.25
+44.6,43.09,46.11,44.6,1.51,-1.51
+53.61,51.92,55.3,53.61,1.69,-1.69
+63.38,61.45,65.31,63.38,1.93,-1.93
+75.52000000000001,73.25,77.79,75.52,2.27,-2.27
+89.6,86.9,92.3,89.6,2.7,-2.7
+106.63,103.43,109.83,106.63,3.2,-3.2
+127.17,123.35,130.99,127.17,3.82,-3.82
+
+Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology D",stat +,stat -,syst +,syst -
+18.200000000000003,17.05,19.35,0.01048,0.00466,-0.00466,0.0012,-0.0012
+21.67,20.63,22.71,0.00296,0.00302,-0.00302,0.00055,-0.00055
+26.119999999999997,25.08,27.16,0.00307,0.00235,-0.00235,0.00113,-0.00113
+31.419999999999998,30.4,32.44,-0.00072,0.00229,-0.00229,0.00097,-0.00097
+37.33,36.08,38.58,0.00169,0.00278,-0.00278,0.00086,-0.00086
+44.6,43.09,46.11,0.00501,0.003,-0.003,0.00081,-0.00081
+53.61,51.92,55.3,0.00443,0.00382,-0.00382,0.0008,-0.0008
+63.38,61.45,65.31,0.00887,0.005,-0.005,0.00082,-0.00082
+75.52000000000001,73.25,77.79,0.00985,0.00747,-0.00747,0.00094,-0.00094
+89.6,86.9,92.3,0.00351,0.01095,-0.01095,0.00106,-0.00106
+106.63,103.43,109.83,0.03141,0.01797,-0.01797,0.00123,-0.00123
+127.17,123.35,130.99,0.01114,0.03187,-0.03187,0.00224,-0.00224
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv
new file mode 100644
index 0000000000..7b7b2f6b4a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv
@@ -0,0 +1,176 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t7
+#: name: Inclusive jet - Dijet topology A correlation
+#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology A). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: IncDijA.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+Parton Jet $p_{T}$ (GeV/$c$),Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetA
+7.79,15.74,0.021
+7.79,18.5,0.012
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+7.79,37.8,0.0
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+53.17,63.64,0.01
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+53.17,89.66,0.071
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+61.37,18.5,0.0
+61.37,21.96,0.0
+61.37,26.17,0.0
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+61.37,37.8,0.0
+61.37,44.75,0.0
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+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv
new file mode 100644
index 0000000000..6f991bec44
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv
@@ -0,0 +1,190 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t8
+#: name: Inclusive jet - Dijet topology B correlation
+#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology B). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: IncDijB.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+Parton Jet $p_{T}$ (GeV/$c$),Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetB
+7.79,15.49,0.026
+7.79,18.48,0.022
+7.79,22.33,0.009
+7.79,26.67,0.004
+7.79,32.16,0.001
+7.79,38.59,0.0
+7.79,45.66,0.0
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+7.79,65.02,0.0
+7.79,77.16,0.0
+7.79,91.33,0.0
+7.79,109.2,0.0
+7.79,129.75,0.0
+9.62,15.49,0.007
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+9.62,22.33,0.015
+9.62,26.67,0.008
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+9.62,38.59,0.001
+9.62,45.66,0.0
+9.62,54.49,0.0
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+9.62,77.16,0.0
+9.62,91.33,0.0
+9.62,109.2,0.0
+9.62,129.75,0.0
+11.67,15.49,0.001
+11.67,18.48,0.025
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+11.67,26.67,0.022
+11.67,32.16,0.013
+11.67,38.59,0.005
+11.67,45.66,0.001
+11.67,54.49,0.0
+11.67,65.02,0.0
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+11.67,91.33,0.0
+11.67,109.2,0.0
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+13.59,15.49,0.0
+13.59,18.48,0.009
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+13.59,38.59,0.012
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+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv
new file mode 100644
index 0000000000..8483014b7e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv
@@ -0,0 +1,176 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t9
+#: name: Inclusive jet - Dijet topology C correlation
+#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: IncDijC.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+Parton Jet $p_{T}$ (GeV/$c$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetC
+7.79,15.72,0.015
+7.79,18.9,0.009
+7.79,22.24,0.004
+7.79,27.14,0.002
+7.79,33.03,0.0
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+7.79,66.39,0.0
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+7.79,94.22,0.0
+7.79,111.48,0.0
+9.62,15.72,0.006
+9.62,18.9,0.012
+9.62,22.24,0.007
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+9.62,39.35,0.0
+9.62,46.62,0.0
+9.62,55.74,0.0
+9.62,66.39,0.0
+9.62,78.97,0.0
+9.62,94.22,0.0
+9.62,111.48,0.0
+11.67,15.72,0.001
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+11.67,22.24,0.014
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+11.67,46.62,0.0
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+45.76,55.74,0.008
+45.76,66.39,0.024
+45.76,78.97,0.054
+45.76,94.22,0.09
+45.76,111.48,0.074
+53.17,15.72,0.0
+53.17,18.9,0.0
+53.17,22.24,0.0
+53.17,27.14,0.0
+53.17,33.03,0.0
+53.17,39.35,0.0
+53.17,46.62,0.0
+53.17,55.74,0.002
+53.17,66.39,0.009
+53.17,78.97,0.025
+53.17,94.22,0.062
+53.17,111.48,0.097
+61.37,15.72,0.0
+61.37,18.9,0.0
+61.37,22.24,0.0
+61.37,27.14,0.0
+61.37,33.03,0.0
+61.37,39.35,0.0
+61.37,46.62,0.0
+61.37,55.74,0.0
+61.37,66.39,0.002
+61.37,78.97,0.008
+61.37,94.22,0.028
+61.37,111.48,0.073
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv
new file mode 100644
index 0000000000..32ff709efc
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv
@@ -0,0 +1,176 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t10
+#: name: Inclusive jet - Dijet topology D correlation
+#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: IncDijD.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+Parton Jet $p_{T}$ (GeV/$c$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetD
+7.79,18.2,0.019
+7.79,21.67,0.01
+7.79,26.12,0.004
+7.79,31.42,0.002
+7.79,37.33,0.0
+7.79,44.6,0.0
+7.79,53.61,0.0
+7.79,63.38,0.0
+7.79,75.52,0.0
+7.79,89.6,0.0
+7.79,106.63,0.0
+7.79,127.17,0.0
+9.62,18.2,0.013
+9.62,21.67,0.014
+9.62,26.12,0.008
+9.62,31.42,0.004
+9.62,37.33,0.001
+9.62,44.6,0.0
+9.62,53.61,0.0
+9.62,63.38,0.0
+9.62,75.52,0.0
+9.62,89.6,0.0
+9.62,106.63,0.0
+9.62,127.17,0.0
+11.67,18.2,0.006
+11.67,21.67,0.021
+11.67,26.12,0.017
+11.67,31.42,0.012
+11.67,37.33,0.006
+11.67,44.6,0.002
+11.67,53.61,0.0
+11.67,63.38,0.0
+11.67,75.52,0.0
+11.67,89.6,0.0
+11.67,106.63,0.0
+11.67,127.17,0.0
+13.59,18.2,0.001
+13.59,21.67,0.013
+13.59,26.12,0.019
+13.59,31.42,0.017
+13.59,37.33,0.012
+13.59,44.6,0.006
+13.59,53.61,0.001
+13.59,63.38,0.0
+13.59,75.52,0.0
+13.59,89.6,0.0
+13.59,106.63,0.0
+13.59,127.17,0.0
+15.76,18.2,0.0
+15.76,21.67,0.004
+15.76,26.12,0.015
+15.76,31.42,0.019
+15.76,37.33,0.017
+15.76,44.6,0.013
+15.76,53.61,0.005
+15.76,63.38,0.001
+15.76,75.52,0.0
+15.76,89.6,0.0
+15.76,106.63,0.0
+15.76,127.17,0.0
+19.89,18.2,0.0
+19.89,21.67,0.001
+19.89,26.12,0.016
+19.89,31.42,0.033
+19.89,37.33,0.042
+19.89,44.6,0.05
+19.89,53.61,0.036
+19.89,63.38,0.015
+19.89,75.52,0.003
+19.89,89.6,0.0
+19.89,106.63,0.0
+19.89,127.17,0.0
+22.68,18.2,0.0
+22.68,21.67,0.0
+22.68,26.12,0.006
+22.68,31.42,0.025
+22.68,37.33,0.038
+22.68,44.6,0.058
+22.68,53.61,0.06
+22.68,63.38,0.039
+22.68,75.52,0.013
+22.68,89.6,0.002
+22.68,106.63,0.0
+22.68,127.17,0.0
+25.94,18.2,0.0
+25.94,21.67,0.0
+25.94,26.12,0.001
+25.94,31.42,0.013
+25.94,37.33,0.026
+25.94,44.6,0.048
+25.94,53.61,0.069
+25.94,63.38,0.071
+25.94,75.52,0.038
+25.94,89.6,0.011
+25.94,106.63,0.001
+25.94,127.17,0.0
+29.75,18.2,0.0
+29.75,21.67,0.0
+29.75,26.12,0.0
+29.75,31.42,0.004
+29.75,37.33,0.014
+29.75,44.6,0.029
+29.75,53.61,0.053
+29.75,63.38,0.081
+29.75,75.52,0.076
+29.75,89.6,0.038
+29.75,106.63,0.008
+29.75,127.17,0.0
+34.29,18.2,0.0
+34.29,21.67,0.0
+34.29,26.12,0.0
+34.29,31.42,0.0
+34.29,37.33,0.005
+34.29,44.6,0.014
+34.29,53.61,0.03
+34.29,63.38,0.061
+34.29,75.52,0.089
+34.29,89.6,0.082
+34.29,106.63,0.031
+34.29,127.17,0.005
+39.59,18.2,0.0
+39.59,21.67,0.0
+39.59,26.12,0.0
+39.59,31.42,0.0
+39.59,37.33,0.0
+39.59,44.6,0.004
+39.59,53.61,0.013
+39.59,63.38,0.033
+39.59,75.52,0.066
+39.59,89.6,0.103
+39.59,106.63,0.08
+39.59,127.17,0.025
+45.76,18.2,0.0
+45.76,21.67,0.0
+45.76,26.12,0.0
+45.76,31.42,0.0
+45.76,37.33,0.0
+45.76,44.6,0.001
+45.76,53.61,0.004
+45.76,63.38,0.013
+45.76,75.52,0.035
+45.76,89.6,0.076
+45.76,106.63,0.111
+45.76,127.17,0.073
+53.17,18.2,0.0
+53.17,21.67,0.0
+53.17,26.12,0.0
+53.17,31.42,0.0
+53.17,37.33,0.0
+53.17,44.6,0.0
+53.17,53.61,0.0
+53.17,63.38,0.004
+53.17,75.52,0.013
+53.17,89.6,0.038
+53.17,106.63,0.088
+53.17,127.17,0.114
+61.37,18.2,0.0
+61.37,21.67,0.0
+61.37,26.12,0.0
+61.37,31.42,0.0
+61.37,37.33,0.0
+61.37,44.6,0.0
+61.37,53.61,0.0
+61.37,63.38,0.0
+61.37,75.52,0.003
+61.37,89.6,0.013
+61.37,106.63,0.04
+61.37,127.17,0.096
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv
new file mode 100644
index 0000000000..d86b9d37d2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv
@@ -0,0 +1,113 @@
+#: table_doi: 10.17182/hepdata.114778.v1/t6
+#: name: Inclusive jet - Inclusive jet correlation
+#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements.The relative luminosity and beam polarization uncertainties are not included because they are the same for all points.
+#: data_file: IncInc.yaml
+#: keyword reactions: P P --> JET X
+#: keyword observables: CORR
+Parton Jet $p_{T}$ (GeV/$c$),Parton Jet $p_{T}$ (GeV/$c$),Correlation Inclusive-Inclusive jet
+7.79,7.79,1.0
+7.79,9.62,0.007
+7.79,11.67,0.004
+7.79,13.59,0.004
+7.79,15.76,0.003
+7.79,19.89,0.001
+7.79,22.68,0.001
+7.79,25.94,0.0
+7.79,29.75,0.0
+7.79,34.29,0.0
+7.79,39.59,0.0
+7.79,45.76,0.0
+7.79,53.17,0.0
+7.79,61.37,0.0
+9.62,9.62,1.0
+9.62,11.67,0.005
+9.62,13.59,0.005
+9.62,15.76,0.005
+9.62,19.89,0.002
+9.62,22.68,0.001
+9.62,25.94,0.001
+9.62,29.75,0.0
+9.62,34.29,0.0
+9.62,39.59,0.0
+9.62,45.76,0.0
+9.62,53.17,0.0
+9.62,61.37,0.0
+11.67,11.67,1.0
+11.67,13.59,0.008
+11.67,15.76,0.009
+11.67,19.89,0.004
+11.67,22.68,0.002
+11.67,25.94,0.002
+11.67,29.75,0.001
+11.67,34.29,0.001
+11.67,39.59,0.0
+11.67,45.76,0.0
+11.67,53.17,0.0
+11.67,61.37,0.0
+13.59,13.59,1.0
+13.59,15.76,0.012
+13.59,19.89,0.005
+13.59,22.68,0.004
+13.59,25.94,0.002
+13.59,29.75,0.002
+13.59,34.29,0.001
+13.59,39.59,0.0
+13.59,45.76,0.0
+13.59,53.17,0.0
+13.59,61.37,0.0
+15.76,15.76,1.0
+15.76,19.89,0.007
+15.76,22.68,0.005
+15.76,25.94,0.004
+15.76,29.75,0.003
+15.76,34.29,0.002
+15.76,39.59,0.001
+15.76,45.76,0.0
+15.76,53.17,0.0
+15.76,61.37,0.0
+19.89,19.89,1.0
+19.89,22.68,0.009
+19.89,25.94,0.01
+19.89,29.75,0.009
+19.89,34.29,0.007
+19.89,39.59,0.005
+19.89,45.76,0.003
+19.89,53.17,0.002
+19.89,61.37,0.001
+22.68,22.68,1.0
+22.68,25.94,0.013
+22.68,29.75,0.013
+22.68,34.29,0.011
+22.68,39.59,0.009
+22.68,45.76,0.005
+22.68,53.17,0.003
+22.68,61.37,0.001
+25.94,25.94,1.0
+25.94,29.75,0.019
+25.94,34.29,0.018
+25.94,39.59,0.014
+25.94,45.76,0.01
+25.94,53.17,0.006
+25.94,61.37,0.003
+29.75,29.75,1.0
+29.75,34.29,0.024
+29.75,39.59,0.022
+29.75,45.76,0.016
+29.75,53.17,0.01
+29.75,61.37,0.005
+34.29,34.29,1.0
+34.29,39.59,0.029
+34.29,45.76,0.025
+34.29,53.17,0.017
+34.29,61.37,0.01
+39.59,39.59,1.0
+39.59,45.76,0.033
+39.59,53.17,0.026
+39.59,61.37,0.017
+45.76,45.76,1.0
+45.76,53.17,0.036
+45.76,61.37,0.027
+53.17,53.17,1.0
+53.17,61.37,0.037
+61.37,61.37,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml
new file mode 100644
index 0000000000..919b3d048e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml
@@ -0,0 +1,1172 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2013POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2013LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc54
+  sys_55:
+    description: 55 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc55
+  sys_56:
+    description: 56 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc56
+  sys_57:
+    description: 57 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc57
+  sys_58:
+    description: 58 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc58
+  sys_59:
+    description: 59 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc59
+  sys_60:
+    description: 60 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc60
+  sys_61:
+    description: 61 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc61
+  sys_62:
+    description: 62 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc62
+bins:
+- pol: 0.00040064
+  lumi: 0.00047
+  sys_0: 1.0149923084516743e-07
+  sys_1: -6.454483537845352e-08
+  sys_2: -3.7370452534985803e-07
+  sys_3: -1.5019582663777696e-07
+  sys_4: -2.3772247602000877e-07
+  sys_5: -2.482362587154836e-07
+  sys_6: 7.964502531992199e-07
+  sys_7: 3.211867265109659e-07
+  sys_8: 1.2963151798808326e-06
+  sys_9: -5.797893252262223e-07
+  sys_10: 1.8072024158514894e-06
+  sys_11: 3.0811145495903898e-06
+  sys_12: -2.6211246797808175e-06
+  sys_13: 6.010605794044629e-06
+  sys_14: 4.4166169041409875e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml
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index 0000000000..3381f9db6e
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml
@@ -0,0 +1,166 @@
+setname: "STAR_2013_2JET_510GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "DIJET"
+
+arXiv:
+  url: https://arxiv.org/abs/2110.11020
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1949588"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1949588"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology A",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: A-ALL
+    process_type: DIJET_POL
+    ndata: 12
+    tables: [5]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_A.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_A.yaml
+    data_uncertainties:
+      - uncertainties_A.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology A"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2013_2JET_510GEV_A-ALL-POL
+        - - STAR_2013_2JET_510GEV_A-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology B",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: B-ALL
+    process_type: DIJET_POL
+    ndata: 13
+    tables: [5]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_B.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_B.yaml
+    data_uncertainties:
+      - uncertainties_B.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology B"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2013_2JET_510GEV_B-ALL-POL
+        - - STAR_2013_2JET_510GEV_B-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology C",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: C-ALL
+    process_type: DIJET_POL
+    ndata: 12
+    tables: [5]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_C.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_C.yaml
+    data_uncertainties:
+      - uncertainties_C.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology C"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2013_2JET_510GEV_C-ALL-POL
+        - - STAR_2013_2JET_510GEV_C-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: "ALL as function of $M_{inv}$, topology D",
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: D-ALL
+    process_type: DIJET_POL
+    ndata: 12
+    tables: [5]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_D.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_D.yaml
+    data_uncertainties:
+      - uncertainties_D.yaml
+    plotting:
+      dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology D"
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2013_2JET_510GEV_D-ALL-POL
+        - - STAR_2013_2JET_510GEV_D-ALL-UNPOL
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml
new file mode 100644
index 0000000000..13aa42700b
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml
@@ -0,0 +1,1042 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2013POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2013LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc42
+  sys_43:
+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc54
+  sys_55:
+    description: 55 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc55
+  sys_56:
+    description: 56 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc56
+  sys_57:
+    description: 57 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc57
+  sys_58:
+    description: 58 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc58
+  sys_59:
+    description: 59 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc59
+  sys_60:
+    description: 60 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc60
+  sys_61:
+    description: 61 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc61
+  sys_62:
+    description: 62 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc62
+bins:
+- pol: 0.00035072
+  lumi: 0.00047
+  sys_0: 1.6714867251519865e-05
+  sys_1: -1.9697169024554937e-05
+  sys_2: -1.010421365609237e-05
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+  sys_4: -2.5049610259423067e-05
+  sys_5: -3.724270341159478e-05
+  sys_6: 2.705942449995741e-05
+  sys_7: 1.0808096731863009e-05
+  sys_8: 3.707063728361056e-05
+  sys_9: -4.349709208213046e-05
+  sys_10: 9.276971501891272e-05
+  sys_11: 6.549168043003301e-05
+  sys_12: -5.831229768869864e-05
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+- pol: 0.0001056
+  lumi: 0.00047
+  sys_0: 9.639113621522696e-06
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+  sys_26: -3.185017996541694e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml
new file mode 100644
index 0000000000..f91b9050ba
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml
@@ -0,0 +1,1107 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2013POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2013LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc22
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+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc23
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+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc24
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+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc25
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+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc26
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+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc27
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+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc28
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+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc29
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+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc30
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+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc31
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+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc33
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+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc35
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+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc36
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+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc37
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+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc38
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+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc39
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+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc40
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+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc41
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+    description: 42 artificial correlated statistical + systematics uncertainty
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+    type: STAR2013JETunc42
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+    type: STAR2013JETunc43
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+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc44
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+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc45
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+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc46
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+    description: 47 artificial correlated statistical + systematics uncertainty
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+    type: STAR2013JETunc47
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+    treatment: ADD
+    type: STAR2013JETunc48
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+    type: STAR2013JETunc49
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+    type: STAR2013JETunc50
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+    type: STAR2013JETunc51
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+    type: STAR2013JETunc52
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+    type: STAR2013JETunc53
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+    description: 54 artificial correlated statistical + systematics uncertainty
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+    type: STAR2013JETunc54
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+    type: STAR2013JETunc55
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+    type: STAR2013JETunc56
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+    type: STAR2013JETunc57
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+    type: STAR2013JETunc58
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+    type: STAR2013JETunc59
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+    type: STAR2013JETunc60
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+    description: 61 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc61
+  sys_62:
+    description: 62 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc62
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml
new file mode 100644
index 0000000000..9d1e2d6d24
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml
@@ -0,0 +1,1042 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2013POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2013LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml
new file mode 100644
index 0000000000..d549887942
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml
@@ -0,0 +1,1042 @@
+definitions:
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2013POL
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2013LUMI
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc33
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+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc35
+  sys_36:
+    description: 36 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc36
+  sys_37:
+    description: 37 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc37
+  sys_38:
+    description: 38 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc38
+  sys_39:
+    description: 39 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc39
+  sys_40:
+    description: 40 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc40
+  sys_41:
+    description: 41 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc41
+  sys_42:
+    description: 42 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc42
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+    description: 43 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc43
+  sys_44:
+    description: 44 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc44
+  sys_45:
+    description: 45 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc45
+  sys_46:
+    description: 46 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc46
+  sys_47:
+    description: 47 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc47
+  sys_48:
+    description: 48 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc48
+  sys_49:
+    description: 49 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc49
+  sys_50:
+    description: 50 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc50
+  sys_51:
+    description: 51 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc51
+  sys_52:
+    description: 52 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc52
+  sys_53:
+    description: 53 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc53
+  sys_54:
+    description: 54 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc54
+  sys_55:
+    description: 55 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc55
+  sys_56:
+    description: 56 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc56
+  sys_57:
+    description: 57 artificial correlated statistical + systematics uncertainty
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+    type: STAR2013JETunc57
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+    description: 58 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc58
+  sys_59:
+    description: 59 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc59
+  sys_60:
+    description: 60 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc60
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+    description: 61 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc61
+  sys_62:
+    description: 62 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2013JETunc62
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+  sys_52: -1.5934731915517313e-06
+  sys_53: -3.488051461364192e-06
+  sys_54: -7.183521651839205e-06
+  sys_55: -2.118386890171846e-06
+  sys_56: -8.37966247443933e-06
+  sys_57: -7.643518688908406e-06
+  sys_58: -1.2008737531920659e-05
+  sys_59: -3.4950666816699524e-07
+  sys_60: 2.720507290801974e-06
+  sys_61: 2.560011815777984e-07
+  sys_62: 1.5353520352043207e-08
+- pol: 0.00071296
+  lumi: 0.00047
+  sys_0: 0.0025851905702851626
+  sys_1: -0.031665608226896735
+  sys_2: 0.00324020582758914
+  sys_3: 0.0005126219912550078
+  sys_4: 0.00013203207180924936
+  sys_5: 0.00017163699167319505
+  sys_6: -0.0003045268160283499
+  sys_7: 0.000144435471731364
+  sys_8: 0.000573918175102801
+  sys_9: 0.00012787127099239443
+  sys_10: -3.336466005524335e-05
+  sys_11: -2.555253772991945e-05
+  sys_12: 5.1666046650555316e-05
+  sys_13: 1.4540162447785898e-05
+  sys_14: 4.15350124476721e-05
+  sys_15: 3.0402055135402667e-05
+  sys_16: -0.00020114142668918185
+  sys_17: -2.4368027323647987e-05
+  sys_18: -1.1934358396073508e-05
+  sys_19: -9.611888394608268e-06
+  sys_20: -1.3332753847871317e-05
+  sys_21: -8.71349413439239e-06
+  sys_22: 4.327255980732517e-06
+  sys_23: 5.8673441414624695e-06
+  sys_24: -1.102842560327959e-05
+  sys_25: 2.380835837804678e-05
+  sys_26: 4.471703421863622e-05
+  sys_27: 2.0249370295485107e-05
+  sys_28: 1.8370763882968028e-05
+  sys_29: 5.106475223636994e-06
+  sys_30: 2.8909895801030003e-06
+  sys_31: -4.5176469149223497e-07
+  sys_32: -2.1331885649507036e-06
+  sys_33: -5.861813631934522e-07
+  sys_34: -5.680693746222383e-07
+  sys_35: -1.4129079568064149e-06
+  sys_36: -1.5232920209646311e-06
+  sys_37: 7.474502324711622e-06
+  sys_38: -8.732740289118672e-06
+  sys_39: 9.51041208678353e-07
+  sys_40: -3.6693484150779514e-07
+  sys_41: -6.439305399227776e-08
+  sys_42: 8.605320767016857e-08
+  sys_43: 4.024341687956793e-06
+  sys_44: -3.3075036580189784e-08
+  sys_45: 9.500328563702148e-07
+  sys_46: 3.70810071290933e-07
+  sys_47: 7.88385370953907e-07
+  sys_48: -6.617750026291332e-08
+  sys_49: -6.279665560139236e-06
+  sys_50: -7.745577303761618e-07
+  sys_51: 1.8784142519920598e-06
+  sys_52: -6.10510110992285e-07
+  sys_53: -1.1228199344917284e-06
+  sys_54: -3.6508076465715218e-06
+  sys_55: -8.270562802482827e-07
+  sys_56: -3.4320316637608945e-06
+  sys_57: -2.438266732148096e-06
+  sys_58: -2.665392448752788e-06
+  sys_59: -5.654915820305557e-07
+  sys_60: 6.253765161472477e-07
+  sys_61: -5.82714158106794e-07
+  sys_62: 1.2561227554127553e-06
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CC.yaml
new file mode 100644
index 0000000000..35a7dd4ccc
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CC.yaml
@@ -0,0 +1,12 @@
+data_central:
+- 0.0002
+- 0.0006
+- 0.0034
+- 0.0041
+- 0.007
+- 0.0045
+- 0.0182
+- 0.022
+- 0.0196
+- 0.0348
+- 0.0515
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CF.yaml
new file mode 100644
index 0000000000..163cd055e9
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CF.yaml
@@ -0,0 +1,12 @@
+data_central:
+- -0.00021
+- 0.00091
+- 0.00084
+- 0.00333
+- 0.00238
+- 0.00214
+- 0.01141
+- 0.01228
+- 0.02057
+- 0.05314
+- 0.02316
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py
new file mode 100644
index 0000000000..bf90362675
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py
@@ -0,0 +1,338 @@
+"""This script provides the common filer to the jet and dijet STAR 2015 datasets.
+Files need to be parsed all together as there are correlations provided.
+"""
+
+import pathlib
+
+import numpy as np
+import pandas as pd
+import yaml
+
+from nnpdf_data.filter_utils.correlations import (
+    compute_covmat,
+    upper_triangular_to_symmetric,
+)
+
+# values from the paper
+SQRTS = 200
+YEAR = 2015
+# mapping between topologies, tables and abs_eta values
+TOPOPLOGY_LIST = {
+    "CC": "bottom",
+    "CF": "top",
+    "OS": "bottom",
+    "SS": "top",
+}
+
+# mapping between correlations blocks and tables
+MAP_CORR_TABLE = {
+    ("CC", "CC"): 2,
+    ("CC", "CF"): 4,
+    ("CC", "OS"): 8,
+    ("CC", "SS"): 7,
+    ("CF", "CF"): 1,
+    ("CF", "OS"): 6,
+    ("CF", "SS"): 5,
+    ("OS", "OS"): 12,
+    ("OS", "SS"): 13,
+    ("SS", "SS"): 11,
+}
+
+# NOTE: this is not the full relevant as the observable is symmetric 
+# for jet1 and jet2, so 1 and 2 are not ordered in pT and the 
+# information about the sign in missing.
+TOPO_DEF = {
+    "SS": {"abs_eta_min": 0, "abs_eta_max": 0.8},
+    "OS": {"abs_eta_min": 0, "abs_eta_max": 0.8},
+    "CC": {"abs_eta_min": 0, "abs_eta_max": 0.5},
+    "CF": {"abs_eta_min": 0.5, "abs_eta_max": 1.0},
+}
+
+
+HERE = pathlib.Path(__file__).parent
+RAWDATA_PATH = HERE / "rawdata/"
+
+
+def read_1jet_data(topology):
+    table_label = TOPOPLOGY_LIST[topology]
+    max_eta = TOPO_DEF[topology]["abs_eta_max"]
+    min_eta = TOPO_DEF[topology]["abs_eta_min"]
+    data_table = pathlib.Path(RAWDATA_PATH / f"Table1{table_label}.csv")
+
+    with open(data_table, "r", encoding="utf-8") as file:
+        parton_jet_data = pd.read_csv(
+            file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 20)
+        )
+    with open(data_table, "r", encoding="utf-8") as file:
+        all_data = pd.read_csv(file, delimiter=",", skiprows=21)
+
+    df = pd.DataFrame()
+    df["pT"] = parton_jet_data[
+        r"Inclusive jet transverse momentum $p_T$ at the parton level [GeV/$c$]"
+    ]
+    df["pT_min"] = df["pT"] + parton_jet_data["Syst -"]
+    df["pT_max"] = df["pT"] + parton_jet_data["Syst +"]
+    df["abs_eta"] = (max_eta + min_eta) / 2
+    df["abs_eta_min"] = min_eta
+    df["abs_eta_max"] = max_eta
+    df["sqrts"] = SQRTS
+    df["ALL"] = all_data[r"Double spin asymmetry $A_{LL}$"]
+    df["stat"] = all_data["Stat +"]
+    df["syst"] = all_data["Syst +"]
+    df["lumi"] = all_data["Lumi +"]
+    df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * abs(df["ALL"]) / 100
+
+    print(f"1JET {topology} data loaded. Npoint: ", len(df))
+    return df
+
+
+def read_2jet_data(topology):
+    table_label = TOPOPLOGY_LIST[topology]
+    data_table = RAWDATA_PATH / f"Table2{table_label}.csv"
+    with open(data_table, "r", encoding="utf-8") as file:
+        mjj_data = pd.read_csv(
+            file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 16)
+        )
+    with open(data_table, "r", encoding="utf-8") as file:
+        all_data = pd.read_csv(file, delimiter=",", skiprows=27)
+
+    df = pd.DataFrame()
+    df["mjj"] = mjj_data["Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$]"]
+    df["mjj_min"] = df["mjj"] + mjj_data["Syst -"]
+    df["mjj_max"] = df["mjj"] + mjj_data["Syst +"]
+
+    df["abs_eta_min"] = TOPO_DEF[topology]["abs_eta_min"]
+    df["abs_eta_max"] = TOPO_DEF[topology]["abs_eta_max"]
+    df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2
+
+    df["sqrts"] = SQRTS
+    df["ALL"] = all_data[r"Double spin asymmetry $A_{LL}$"]
+    df["stat"] = all_data["Stat +"]
+    df["syst"] = all_data["Syst +"]
+    df["lumi"] = all_data["Lumi +"]
+    df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * abs(df["ALL"]) / 100
+
+    print(f"2JET {topology} data loaded. Npoint: ", len(df))
+    return df
+
+
+def read_correlations(ndata_dict):
+    """Read the correlation files and build a big matix"""
+    corr_rows = []
+
+    # loop on block rows
+    for a, ndata_a in ndata_dict.items():
+        la = [a for _ in range(ndata_a)]
+        corr_row = pd.DataFrame()
+
+        # loop on block columns
+        for b, ndata_b in ndata_dict.items():
+            lb = [b for _ in range(ndata_b)]
+
+            # build the block
+            try:
+                idx = MAP_CORR_TABLE[(a, b)]
+                with open(
+                    RAWDATA_PATH / f"Table{idx}SupplementalMaterial.csv",
+                    encoding="utf-8",
+                ) as file:
+                    corr_df = pd.read_csv(file, delimiter=",", skiprows=7)
+
+                if a == b:
+                    corr = upper_triangular_to_symmetric(corr_df.values[:, 2], ndata_a)
+                else:
+                    corr = corr_df.values[:, 2].reshape((ndata_a, ndata_b))
+            except (FileNotFoundError, KeyError) as _:
+                corr = pd.DataFrame(np.zeros((ndata_a, ndata_b)), index=la, columns=lb)
+
+            corr = pd.DataFrame(corr, index=la, columns=lb)
+            corr_row = pd.concat([corr_row, corr], axis=1)
+        corr_rows.append(corr_row)
+
+    tot_corr = pd.concat(corr_rows)
+    if not np.allclose(tot_corr, np.triu(tot_corr)):
+        raise ValueError("Correlation matrix not read correctly")
+    return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),)))
+
+
+def write_1jet_data(df, topology, art_sys):
+    STORE_PATH = HERE
+
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "pT": {
+                "min": float(df.loc[i, "pT_min"]),
+                "mid": float(df.loc[i, "pT"]),
+                "max": float(df.loc[i, "pT_max"]),
+            },
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "abs_eta": {
+                "min": float(df.loc[i, "abs_eta_min"]),
+                "mid": float(df.loc[i, "abs_eta"]),
+                "max": float(df.loc[i, "abs_eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(
+        STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "lumi": {
+            "description": "luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMI",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {"lumi": float(df.loc[i, "lumi"]), "pol": float(df.loc[i, "pol"])}
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+        error.append(e)
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(
+        STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+def write_2jet_data(df, topology, art_sys):
+    STORE_PATH = HERE / f"../STAR_{YEAR}_2JET_MIDRAP_{SQRTS}GEV/"
+    # Write central data
+    data_central_yaml = {"data_central": list(df["ALL"])}
+    with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "m_jj": {
+                "min": float(df.loc[i, "mjj_min"]),
+                "mid": float(df.loc[i, "mjj"]),
+                "max": float(df.loc[i, "mjj_max"]),
+            },
+            # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+            "abs_eta_1": {
+                "min": float(df.loc[i, "abs_eta_min"]),
+                "mid": float(df.loc[i, "abs_eta"]),
+                "max": float(df.loc[i, "abs_eta_max"]),
+            },
+            "abs_eta_2": {
+                "min": float(df.loc[i, "abs_eta_min"]),
+                "mid": float(df.loc[i, "abs_eta"]),
+                "max": float(df.loc[i, "abs_eta_max"]),
+            },
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+    with open(
+        STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(kinematics_yaml, file)
+
+    # Write unc file
+    error = []
+    error_definition = {
+        "lumi": {
+            "description": "luminosity uncertainty",
+            "treatment": "ADD",
+            "type": f"STAR{YEAR}LUMI",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": f"STAR{YEAR}POL",
+        },
+    }
+    # loop on data points
+    for i, sys_i in enumerate(art_sys):
+        e = {
+            "lumi": float(df.loc[i, "lumi"]),
+            "pol": float(df.loc[i, "pol"]),
+        }
+        # loop on art sys
+        for j, val in enumerate(sys_i):
+            e[f"sys_{j}"] = val
+        error.append(e)
+
+        if i == 0:
+            error_definition.update(
+                {
+                    f"sys_{j}": {
+                        "description": f"{j} artificial correlated statistical + systematics uncertainty",
+                        "treatment": "ADD",
+                        "type": f"STAR{YEAR}JETunc{j}",
+                    }
+                    for j in range(len(sys_i))
+                }
+            )
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+    with open(
+        STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8"
+    ) as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # load all the data
+    dfs = {}
+    for topo in TOPOPLOGY_LIST:
+        fcn = read_1jet_data if "C" in topo else read_2jet_data
+        dfs[topo] = fcn(topo)
+
+    # load correlations
+    ndata_dict = {a: len(b) for a, b in dfs.items()}
+    correlation_df = read_correlations(ndata_dict)
+    # sum stat and syst for both jet and dijets as recommended
+    # by E.Aschenauer, see https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662
+    correlated_unc = []
+    for a in TOPOPLOGY_LIST:
+        correlated_unc.extend(
+            np.sqrt(dfs[a]["syst"] ** 2 + dfs[a]["stat"] ** 2).values.tolist()
+        )
+    ndata_points = np.sum((*ndata_dict.values(),))
+    art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points))
+
+    # write data
+    cnt = 0
+    for topo, df in dfs.items():
+        ndata = ndata_dict[topo]
+        syst = art_sys[cnt : cnt + ndata, :].tolist()
+        if "C" in topo:
+            write_1jet_data(df, topo, syst)
+        else:
+            write_2jet_data(df, topo, syst)
+        cnt += ndata
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CC.yaml
new file mode 100644
index 0000000000..978f9b6214
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CC.yaml
@@ -0,0 +1,133 @@
+bins:
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 6.2
+    mid: 6.0
+    min: 5.8
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 7.529999999999999
+    mid: 7.31
+    min: 7.09
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 9.72
+    mid: 9.47
+    min: 9.22
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 11.64
+    mid: 11.33
+    min: 11.02
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 13.7
+    mid: 13.36
+    min: 13.02
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 16.09
+    mid: 15.74
+    min: 15.39
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 18.81
+    mid: 18.43
+    min: 18.05
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 21.93
+    mid: 21.49
+    min: 21.049999999999997
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 25.610000000000003
+    mid: 25.1
+    min: 24.59
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 29.73
+    mid: 29.17
+    min: 28.610000000000003
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 0.5
+    mid: 0.25
+    min: 0.0
+  pT:
+    max: 34.43
+    mid: 33.81
+    min: 33.190000000000005
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml
new file mode 100644
index 0000000000..9cc95b9f2a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml
@@ -0,0 +1,133 @@
+bins:
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 6.340000000000001
+    mid: 6.15
+    min: 5.96
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 7.54
+    mid: 7.34
+    min: 7.14
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 9.78
+    mid: 9.5
+    min: 9.22
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 11.62
+    mid: 11.34
+    min: 11.06
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 13.56
+    mid: 13.25
+    min: 12.94
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 15.83
+    mid: 15.47
+    min: 15.110000000000001
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 18.44
+    mid: 18.07
+    min: 17.7
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 21.57
+    mid: 21.16
+    min: 20.75
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 25.16
+    mid: 24.68
+    min: 24.2
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 29.09
+    mid: 28.56
+    min: 28.029999999999998
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
+- abs_eta:
+    max: 1.0
+    mid: 0.75
+    min: 0.5
+  pT:
+    max: 33.5
+    mid: 32.9
+    min: 32.3
+  sqrts:
+    max: null
+    mid: 200.0
+    min: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml
new file mode 100644
index 0000000000..897f2f9269
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml
@@ -0,0 +1,90 @@
+setname: "STAR_2015_1JET_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "JETS"
+
+arXiv:
+  url: https://arxiv.org/abs/2103.05571
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1850855"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1850855"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable: { description: "$A_{LL}$ as function of $p_T$, central region", label: "$A_{LL}$", units: "" }
+    observable_name: CC-ALL
+    process_type: JET_POL
+    ndata: 11
+    tables: [1]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        abs_eta: {description: "absolute pseudorapidity", label: '$|\eta|$', units: "" }
+      file: kinematics_CC.yaml
+    data_central: data_CC.yaml
+    data_uncertainties:
+      - uncertainties_CC.yaml
+    kinematic_coverage: [pT, sqrts, abs_eta]
+    plotting:
+      dataset_label: "STAR 200 GeV (2015) 1-JET $A_{LL}$"
+      kinematics_override: identity
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2015_1JET_200GEV_CC-ALL-POL
+        - - STAR_2015_1JET_200GEV_CC-ALL-UNPOL
+      operation: "ratio"
+  - observable: { description: "$A_{LL}$ as function of $p_T$, forward region", label: "$A_{LL}$", units: "" }
+    observable_name: CF-ALL
+    process_type: JET_POL
+    ndata: 11
+    tables: [1]
+    kinematics:
+      variables:
+        pT:
+          {
+            description: "mean transverse momentum",
+            label: '$\langle pT \rangle$',
+            units: "$GeV$",
+          }
+        sqrts:
+          {
+            description: "center of mass energy",
+            label: '$\sqrt{s}$',
+            units: "$GeV$",
+          }
+        abs_eta: {description: "absolute pseudorapidity", label: '$|\eta|$', units: "" }
+      file: kinematics_CF.yaml
+    data_central: data_CF.yaml
+    data_uncertainties:
+      - uncertainties_CF.yaml
+    kinematic_coverage: [pT, sqrts, abs_eta]
+    plotting:
+      dataset_label: "STAR 200 GeV (2015) 1-JET $A_{LL}$"
+      kinematics_override: identity
+      plot_x: pT
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2015_1JET_200GEV_CF-ALL-POL
+        - - STAR_2015_1JET_200GEV_CF-ALL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv
new file mode 100644
index 0000000000..22e588f648
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv
@@ -0,0 +1,37 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t19
+#: name: Table 11 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties for dijet measurements with the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_11_supplemental_material.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+20.29,20.29,1.0
+20.29,23.5,0.044
+20.29,28.28,0.033
+20.29,34.15,0.02
+20.29,40.96,0.013
+20.29,50.75,0.012
+20.29,69.11,0.006
+23.5,23.5,1.0
+23.5,28.28,0.038
+23.5,34.15,0.023
+23.5,40.96,0.016
+23.5,50.75,0.015
+23.5,69.11,0.008
+28.28,28.28,1.0
+28.28,34.15,0.019
+28.28,40.96,0.013
+28.28,50.75,0.014
+28.28,69.11,0.008
+34.15,34.15,1.0
+34.15,40.96,0.009
+34.15,50.75,0.009
+34.15,69.11,0.005
+40.96,40.96,1.0
+40.96,50.75,0.007
+40.96,69.11,0.004
+50.75,50.75,1.0
+50.75,69.11,0.006
+69.11,69.11,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv
new file mode 100644
index 0000000000..430b2a39c6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv
@@ -0,0 +1,37 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t20
+#: name: Table 12 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties for dijet measurements with the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_12_supplemental_material.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+20.48,20.48,1.0
+20.48,23.65,0.011
+20.48,28.5,0.012
+20.48,34.38,0.008
+20.48,41.38,0.006
+20.48,51.25,0.008
+20.48,69.96,0.004
+23.65,23.65,1.0
+23.65,28.5,0.016
+23.65,34.38,0.01
+23.65,41.38,0.008
+23.65,51.25,0.01
+23.65,69.96,0.005
+28.5,28.5,1.0
+28.5,34.38,0.011
+28.5,41.38,0.009
+28.5,51.25,0.011
+28.5,69.96,0.006
+34.38,34.38,1.0
+34.38,41.38,0.006
+34.38,51.25,0.008
+34.38,69.96,0.004
+41.38,41.38,1.0
+41.38,51.25,0.006
+41.38,69.96,0.003
+51.25,51.25,1.0
+51.25,69.96,0.004
+69.96,69.96,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv
new file mode 100644
index 0000000000..2bf53ee3e8
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv
@@ -0,0 +1,58 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t21
+#: name: Table 13 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties coupling dijet measurements with the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology and the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_13_supplemental_material.yaml
+#: keyword reactions: P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+20.48,20.29,0.008
+20.48,23.5,0.01
+20.48,28.28,0.01
+20.48,34.15,0.007
+20.48,40.96,0.006
+20.48,50.75,0.008
+20.48,69.11,0.005
+23.65,20.29,0.01
+23.65,23.5,0.013
+23.65,28.28,0.013
+23.65,34.15,0.009
+23.65,40.96,0.008
+23.65,50.75,0.01
+23.65,69.11,0.007
+28.5,20.29,0.011
+28.5,23.5,0.014
+28.5,28.28,0.015
+28.5,34.15,0.01
+28.5,40.96,0.008
+28.5,50.75,0.011
+28.5,69.11,0.007
+34.38,20.29,0.007
+34.38,23.5,0.009
+34.38,28.28,0.01
+34.38,34.15,0.007
+34.38,40.96,0.006
+34.38,50.75,0.007
+34.38,69.11,0.005
+41.38,20.29,0.006
+41.38,23.5,0.008
+41.38,28.28,0.008
+41.38,34.15,0.006
+41.38,40.96,0.005
+41.38,50.75,0.006
+41.38,69.11,0.004
+51.25,20.29,0.008
+51.25,23.5,0.01
+51.25,28.28,0.011
+51.25,34.15,0.007
+51.25,40.96,0.006
+51.25,50.75,0.008
+51.25,69.11,0.006
+69.96,20.29,0.004
+69.96,23.5,0.005
+69.96,28.28,0.005
+69.96,34.15,0.004
+69.96,40.96,0.003
+69.96,50.75,0.004
+69.96,69.11,0.003
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv
new file mode 100644
index 0000000000..9c7741b8f6
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv
@@ -0,0 +1,75 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t9
+#: name: Table 1 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties for inclusive jet measurements with jets in the $0.5<|\eta|<1$ region. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_1_supplemental_material.yaml
+#: keyword reactions: P P --> JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Correlation
+6.15,6.15,1.0
+6.15,7.34,0.043
+6.15,9.5,0.062
+6.15,11.34,0.051
+6.15,13.25,0.037
+6.15,15.47,0.026
+6.15,18.07,0.019
+6.15,21.16,0.012
+6.15,24.68,0.011
+6.15,28.56,0.007
+6.15,32.9,0.003
+7.34,7.34,1.0
+7.34,9.5,0.051
+7.34,11.34,0.045
+7.34,13.25,0.033
+7.34,15.47,0.023
+7.34,18.07,0.018
+7.34,21.16,0.012
+7.34,24.68,0.011
+7.34,28.56,0.007
+7.34,32.9,0.003
+9.5,9.5,1.0
+9.5,11.34,0.069
+9.5,13.25,0.051
+9.5,15.47,0.037
+9.5,18.07,0.029
+9.5,21.16,0.019
+9.5,24.68,0.017
+9.5,28.56,0.011
+9.5,32.9,0.005
+11.34,11.34,1.0
+11.34,13.25,0.051
+11.34,15.47,0.039
+11.34,18.07,0.032
+11.34,21.16,0.02
+11.34,24.68,0.019
+11.34,28.56,0.013
+11.34,32.9,0.006
+13.25,13.25,1.0
+13.25,15.47,0.034
+13.25,18.07,0.028
+13.25,21.16,0.019
+13.25,24.68,0.017
+13.25,28.56,0.01
+13.25,32.9,0.005
+15.47,15.47,1.0
+15.47,18.07,0.027
+15.47,21.16,0.019
+15.47,24.68,0.016
+15.47,28.56,0.01
+15.47,32.9,0.004
+18.07,18.07,1.0
+18.07,21.16,0.023
+18.07,24.68,0.019
+18.07,28.56,0.011
+18.07,32.9,0.005
+21.16,21.16,1.0
+21.16,24.68,0.022
+21.16,28.56,0.014
+21.16,32.9,0.006
+24.68,24.68,1.0
+24.68,28.56,0.02
+24.68,32.9,0.011
+28.56,28.56,1.0
+28.56,32.9,0.016
+32.9,32.9,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv
new file mode 100644
index 0000000000..48f86b8a87
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv
@@ -0,0 +1,34 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t5
+#: name: Table 1 bottom
+#: description: Parton inclusive-jet $p_T$ and $A_{LL}$ values with associated uncertainties for jet-$\eta$ region $|\eta|<0.5$.
+#: data_file: table_1_bottom.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET X
+#: SQRT(S) [GeV],200
+bin,Inclusive jet transverse momentum $p_T$ at the parton level [GeV/$c$],Syst +,Syst -
+1.0,6.0,0.2,-0.2
+2.0,7.31,0.22,-0.22
+3.0,9.47,0.25,-0.25
+4.0,11.33,0.31,-0.31
+5.0,13.36,0.34,-0.34
+6.0,15.74,0.35,-0.35
+7.0,18.43,0.38,-0.38
+8.0,21.49,0.44,-0.44
+9.0,25.1,0.51,-0.51
+10.0,29.17,0.56,-0.56
+11.0,33.81,0.62,-0.62
+
+#: SQRT(S) [GeV],200
+bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol -
+1.0,0.0002,0.0014,-0.0014,0.0015,-0.0015,0.0007,-0.0007,6.1%,-6.1%
+2.0,0.0006,0.0017,-0.0017,0.0012,-0.0012,0.0007,-0.0007,6.1%,-6.1%
+3.0,0.0034,0.001,-0.001,0.0011,-0.0011,0.0007,-0.0007,6.1%,-6.1%
+4.0,0.0041,0.0011,-0.0011,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1%
+5.0,0.007,0.0014,-0.0014,0.0008,-0.0008,0.0007,-0.0007,6.1%,-6.1%
+6.0,0.0045,0.0019,-0.0019,0.0007,-0.0007,0.0007,-0.0007,6.1%,-6.1%
+7.0,0.0182,0.0028,-0.0028,0.0008,-0.0008,0.0007,-0.0007,6.1%,-6.1%
+8.0,0.022,0.0043,-0.0043,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1%
+9.0,0.0196,0.0072,-0.0072,0.0011,-0.0011,0.0007,-0.0007,6.1%,-6.1%
+10.0,0.0348,0.0127,-0.0127,0.0014,-0.0014,0.0007,-0.0007,6.1%,-6.1%
+11.0,0.0515,0.0239,-0.0239,0.0015,-0.0015,0.0007,-0.0007,6.1%,-6.1%
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv
new file mode 100644
index 0000000000..96ed05bb37
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv
@@ -0,0 +1,34 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t4
+#: name: Table 1 top
+#: description: Parton inclusive-jet $p_T$ and $A_{LL}$ values with associated uncertainties for jet-$\eta$ region $0.5<|\eta|<1$.
+#: data_file: table_1_top.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET X
+#: SQRT(S) [GeV],200
+bin,Inclusive jet transverse momentum $p_T$ at the parton level [GeV/$c$],Syst +,Syst -
+1.0,6.15,0.19,-0.19
+2.0,7.34,0.2,-0.2
+3.0,9.5,0.28,-0.28
+4.0,11.34,0.28,-0.28
+5.0,13.25,0.31,-0.31
+6.0,15.47,0.36,-0.36
+7.0,18.07,0.37,-0.37
+8.0,21.16,0.41,-0.41
+9.0,24.68,0.48,-0.48
+10.0,28.56,0.53,-0.53
+11.0,32.9,0.6,-0.6
+
+#: SQRT(S) [GeV],200
+bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol -
+1.0,-0.00021,0.0017,-0.0017,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1%
+2.0,0.00091,0.0019,-0.0019,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1%
+3.0,0.00084,0.0012,-0.0012,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1%
+4.0,0.00333,0.0014,-0.0014,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1%
+5.0,0.00238,0.0018,-0.0018,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1%
+6.0,0.00214,0.0025,-0.0025,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1%
+7.0,0.01141,0.0037,-0.0037,0.0005,-0.0005,0.0007,-0.0007,6.1%,-6.1%
+8.0,0.01228,0.0058,-0.0058,0.0006,-0.0006,0.0007,-0.0007,6.1%,-6.1%
+9.0,0.02057,0.0099,-0.0099,0.001,-0.001,0.0007,-0.0007,6.1%,-6.1%
+10.0,0.05314,0.018,-0.018,0.0013,-0.0013,0.0007,-0.0007,6.1%,-6.1%
+11.0,0.02316,0.0357,-0.0357,0.0016,-0.0016,0.0007,-0.0007,6.1%,-6.1%
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv
new file mode 100644
index 0000000000..dd0f806245
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv
@@ -0,0 +1,75 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t10
+#: name: Table 2 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties for inclusive jet measurements with jets in the $|\eta|<0.5$ region. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_2_supplemental_material.yaml
+#: keyword reactions: P P --> JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Correlation
+6.0,6.0,1.0
+6.0,7.31,0.448
+6.0,9.47,0.549
+6.0,11.33,0.463
+6.0,13.36,0.353
+6.0,15.74,0.244
+6.0,18.43,0.163
+6.0,21.49,0.102
+6.0,25.1,0.064
+6.0,29.17,0.035
+6.0,33.81,0.018
+7.31,7.31,1.0
+7.31,9.47,0.45
+7.31,11.33,0.379
+7.31,13.36,0.287
+7.31,15.74,0.198
+7.31,18.43,0.13
+7.31,21.49,0.08
+7.31,25.1,0.049
+7.31,29.17,0.027
+7.31,33.81,0.014
+9.47,9.47,1.0
+9.47,11.33,0.47
+9.47,13.36,0.361
+9.47,15.74,0.251
+9.47,18.43,0.171
+9.47,21.49,0.109
+9.47,25.1,0.069
+9.47,29.17,0.038
+9.47,33.81,0.02
+11.33,11.33,1.0
+11.33,13.36,0.309
+11.33,15.74,0.217
+11.33,18.43,0.149
+11.33,21.49,0.095
+11.33,25.1,0.06
+11.33,29.17,0.033
+11.33,33.81,0.017
+13.36,13.36,1.0
+13.36,15.74,0.177
+13.36,18.43,0.129
+13.36,21.49,0.085
+13.36,25.1,0.056
+13.36,29.17,0.031
+13.36,33.81,0.016
+15.74,15.74,1.0
+15.74,18.43,0.104
+15.74,21.49,0.072
+15.74,25.1,0.049
+15.74,29.17,0.027
+15.74,33.81,0.014
+18.43,18.43,1.0
+18.43,21.49,0.075
+18.43,25.1,0.056
+18.43,29.17,0.032
+18.43,33.81,0.017
+21.49,21.49,1.0
+21.49,25.1,0.062
+21.49,29.17,0.04
+21.49,33.81,0.021
+25.1,25.1,1.0
+25.1,29.17,0.056
+25.1,33.81,0.033
+29.17,29.17,1.0
+29.17,33.81,0.053
+33.81,33.81,1.0
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv
new file mode 100644
index 0000000000..353441b4fe
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv
@@ -0,0 +1,36 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t7
+#: name: Table 2 bottom
+#: description: Parton dijet invariant mass $M_{inv}$ and $A_{LL}$ values with associated uncertainties for the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology.
+#: data_file: table_2_bottom.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET JET X
+#: SQRT(S) [GeV],200
+bin,Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$],Syst +,Syst -
+1.0,20.48,0.62,-0.62
+2.0,23.65,0.59,-0.59
+3.0,28.5,0.69,-0.69
+4.0,34.38,0.79,-0.79
+5.0,41.38,0.92,-0.92
+6.0,51.25,1.08,-1.08
+7.0,69.96,1.31,-1.31
+
+#: SQRT(S) [GeV],200
+bin,Dijet $M_{inv}/\sqrt{s}$ at the parton level,Syst +,Syst -
+1.0,0.1024,0.0031,-0.0031
+2.0,0.1183,0.003,-0.003
+3.0,0.1425,0.0035,-0.0035
+4.0,0.1719,0.004,-0.004
+5.0,0.2069,0.0046,-0.0046
+6.0,0.2563,0.0054,-0.0054
+7.0,0.3498,0.0066,-0.0066
+
+#: SQRT(S) [GeV],200
+bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol -
+1.0,0.0067,0.004,-0.004,0.0005,-0.0005,0.0007,-0.0007,6.1%,-6.1%
+2.0,0.0024,0.0027,-0.0027,0.0005,-0.0005,0.0007,-0.0007,6.1%,-6.1%
+3.0,0.0052,0.0032,-0.0032,0.0006,-0.0006,0.0007,-0.0007,6.1%,-6.1%
+4.0,0.011,0.0044,-0.0044,0.0007,-0.0007,0.0007,-0.0007,6.1%,-6.1%
+5.0,0.0201,0.0068,-0.0068,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1%
+6.0,0.024,0.0097,-0.0097,0.0012,-0.0012,0.0007,-0.0007,6.1%,-6.1%
+7.0,0.0934,0.0304,-0.0304,0.002,-0.002,0.0007,-0.0007,6.1%,-6.1%
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv
new file mode 100644
index 0000000000..cb61d55282
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv
@@ -0,0 +1,36 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t6
+#: name: Table 2 top
+#: description: Parton dijet invariant mass $M_{inv}$ and $A_{LL}$ values with associated uncertainties for the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology.
+#: data_file: table_2_top.yaml
+#: keyword observables: ASYM
+#: keyword reactions: P P --> JET JET X
+#: SQRT(S) [GeV],200
+bin,Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$],Syst +,Syst -
+1.0,20.29,0.53,-0.53
+2.0,23.5,0.61,-0.61
+3.0,28.28,0.66,-0.66
+4.0,34.15,0.78,-0.78
+5.0,40.96,0.89,-0.89
+6.0,50.75,1.03,-1.03
+7.0,69.11,1.31,-1.31
+
+#: SQRT(S) [GeV],200
+bin,Dijet $M_{inv}/\sqrt{s}$ at the parton level,Syst +,Syst -
+1.0,0.1015,0.0027,-0.0027
+2.0,0.1175,0.0031,-0.0031
+3.0,0.1414,0.0033,-0.0033
+4.0,0.1708,0.0039,-0.0039
+5.0,0.2048,0.0045,-0.0045
+6.0,0.2538,0.0052,-0.0052
+7.0,0.3456,0.0066,-0.0066
+
+#: SQRT(S) [GeV],200
+bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol -
+1.0,0.0071,0.0036,-0.0036,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1%
+2.0,0.0049,0.0028,-0.0028,0.0007,-0.0007,0.0007,-0.0007,6.1%,-6.1%
+3.0,0.0017,0.0035,-0.0035,0.0008,-0.0008,0.0007,-0.0007,6.1%,-6.1%
+4.0,0.0137,0.0051,-0.0051,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1%
+5.0,0.0316,0.0081,-0.0081,0.0011,-0.0011,0.0007,-0.0007,6.1%,-6.1%
+6.0,0.0232,0.0121,-0.0121,0.0015,-0.0015,0.0007,-0.0007,6.1%,-6.1%
+7.0,0.0228,0.0418,-0.0418,0.0033,-0.0033,0.0007,-0.0007,6.1%,-6.1%
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv
new file mode 100644
index 0000000000..4851f501b0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv
@@ -0,0 +1,130 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t12
+#: name: Table 4 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $|\eta|<0.5$ region and jets in the $0.5<|\eta|<1$ region. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_4_supplemental_material.yaml
+#: keyword reactions: P P --> JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Correlation
+6.0,6.15,0.019
+6.0,7.34,0.021
+6.0,9.5,0.029
+6.0,11.34,0.033
+6.0,13.25,0.026
+6.0,15.47,0.02
+6.0,18.07,0.018
+6.0,21.16,0.012
+6.0,24.68,0.013
+6.0,28.56,0.009
+6.0,32.9,0.005
+7.31,6.15,0.013
+7.31,7.34,0.015
+7.31,9.5,0.019
+7.31,11.34,0.021
+7.31,13.25,0.017
+7.31,15.47,0.013
+7.31,18.07,0.012
+7.31,21.16,0.008
+7.31,24.68,0.008
+7.31,28.56,0.006
+7.31,32.9,0.003
+9.47,6.15,0.021
+9.47,7.34,0.024
+9.47,9.5,0.037
+9.47,11.34,0.042
+9.47,13.25,0.034
+9.47,15.47,0.027
+9.47,18.07,0.024
+9.47,21.16,0.016
+9.47,24.68,0.017
+9.47,28.56,0.011
+9.47,32.9,0.005
+11.33,6.15,0.019
+11.33,7.34,0.021
+11.33,9.5,0.034
+11.33,11.34,0.039
+11.33,13.25,0.033
+11.33,15.47,0.027
+11.33,18.07,0.024
+11.33,21.16,0.016
+11.33,24.68,0.016
+11.33,28.56,0.01
+11.33,32.9,0.005
+13.36,6.15,0.02
+13.36,7.34,0.022
+13.36,9.5,0.037
+13.36,11.34,0.044
+13.36,13.25,0.038
+13.36,15.47,0.034
+13.36,18.07,0.03
+13.36,21.16,0.021
+13.36,24.68,0.019
+13.36,28.56,0.012
+13.36,32.9,0.006
+15.74,6.15,0.016
+15.74,7.34,0.018
+15.74,9.5,0.03
+15.74,11.34,0.037
+15.74,13.25,0.035
+15.74,15.47,0.033
+15.74,18.07,0.033
+15.74,21.16,0.025
+15.74,24.68,0.021
+15.74,28.56,0.013
+15.74,32.9,0.006
+18.43,6.15,0.019
+18.43,7.34,0.021
+18.43,9.5,0.034
+18.43,11.34,0.041
+18.43,13.25,0.038
+18.43,15.47,0.038
+18.43,18.07,0.041
+18.43,21.16,0.035
+18.43,24.68,0.03
+18.43,28.56,0.019
+18.43,32.9,0.009
+21.49,6.15,0.015
+21.49,7.34,0.017
+21.49,9.5,0.027
+21.49,11.34,0.033
+21.49,13.25,0.03
+21.49,15.47,0.031
+21.49,18.07,0.037
+21.49,21.16,0.038
+21.49,24.68,0.038
+21.49,28.56,0.026
+21.49,32.9,0.013
+25.1,6.15,0.014
+25.1,7.34,0.015
+25.1,9.5,0.024
+25.1,11.34,0.028
+25.1,13.25,0.024
+25.1,15.47,0.024
+25.1,18.07,0.029
+25.1,21.16,0.035
+25.1,24.68,0.042
+25.1,28.56,0.037
+25.1,32.9,0.023
+29.17,6.15,0.009
+29.17,7.34,0.009
+29.17,9.5,0.015
+29.17,11.34,0.017
+29.17,13.25,0.014
+29.17,15.47,0.014
+29.17,18.07,0.017
+29.17,21.16,0.022
+29.17,24.68,0.032
+29.17,28.56,0.04
+29.17,32.9,0.03
+33.81,6.15,0.005
+33.81,7.34,0.005
+33.81,9.5,0.008
+33.81,11.34,0.009
+33.81,13.25,0.008
+33.81,15.47,0.007
+33.81,18.07,0.008
+33.81,21.16,0.01
+33.81,24.68,0.019
+33.81,28.56,0.029
+33.81,32.9,0.035
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv
new file mode 100644
index 0000000000..af3ef60677
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t13
+#: name: Table 5 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $0.5<|\eta|<1$ region with dijet measurements with the the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_5_supplemental_material.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+6.15,20.29,0.013
+6.15,23.5,0.013
+6.15,28.28,0.012
+6.15,34.15,0.008
+6.15,40.96,0.007
+6.15,50.75,0.009
+6.15,69.11,0.006
+7.34,20.29,0.021
+7.34,23.5,0.018
+7.34,28.28,0.014
+7.34,34.15,0.009
+7.34,40.96,0.008
+7.34,50.75,0.01
+7.34,69.11,0.007
+9.5,20.29,0.06
+9.5,23.5,0.056
+9.5,28.28,0.032
+9.5,34.15,0.015
+9.5,40.96,0.012
+9.5,50.75,0.016
+9.5,69.11,0.01
+11.34,20.29,0.063
+11.34,23.5,0.081
+11.34,28.28,0.06
+11.34,34.15,0.024
+11.34,40.96,0.014
+11.34,50.75,0.018
+11.34,69.11,0.012
+13.25,20.29,0.03
+13.25,23.5,0.074
+13.25,28.28,0.083
+13.25,34.15,0.045
+13.25,40.96,0.016
+13.25,50.75,0.014
+13.25,69.11,0.009
+15.47,20.29,0.011
+15.47,23.5,0.043
+15.47,28.28,0.076
+15.47,34.15,0.08
+15.47,40.96,0.036
+15.47,50.75,0.014
+15.47,69.11,0.007
+18.07,20.29,0.01
+18.07,23.5,0.02
+18.07,28.28,0.046
+18.07,34.15,0.078
+18.07,40.96,0.081
+18.07,50.75,0.03
+18.07,69.11,0.007
+21.16,20.29,0.006
+21.16,23.5,0.009
+21.16,28.28,0.02
+21.16,34.15,0.041
+21.16,40.96,0.085
+21.16,50.75,0.08
+21.16,69.11,0.005
+24.68,20.29,0.007
+24.68,23.5,0.009
+24.68,28.28,0.012
+24.68,34.15,0.017
+24.68,40.96,0.042
+24.68,50.75,0.114
+24.68,69.11,0.017
+28.56,20.29,0.005
+28.56,23.5,0.007
+28.56,28.28,0.007
+28.56,34.15,0.007
+28.56,40.96,0.015
+28.56,50.75,0.081
+28.56,69.11,0.068
+32.9,20.29,0.002
+32.9,23.5,0.003
+32.9,28.28,0.003
+32.9,34.15,0.003
+32.9,40.96,0.004
+32.9,50.75,0.027
+32.9,69.11,0.108
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv
new file mode 100644
index 0000000000..cc47c69a26
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t14
+#: name: Table 6 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $0.5<|\eta|<1$ region with dijet measurements with the the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_6_supplemental_material.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+6.15,20.48,0.016
+6.15,23.65,0.015
+6.15,28.5,0.013
+6.15,34.38,0.008
+6.15,41.38,0.007
+6.15,51.25,0.009
+6.15,69.96,0.005
+7.34,20.48,0.02
+7.34,23.65,0.022
+7.34,28.5,0.016
+7.34,34.38,0.009
+7.34,41.38,0.008
+7.34,51.25,0.01
+7.34,69.96,0.005
+9.5,20.48,0.056
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+11.34,20.48,0.035
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+21.16,20.48,0.006
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+24.68,51.25,0.114
+24.68,69.96,0.056
+28.56,20.48,0.005
+28.56,23.65,0.006
+28.56,28.5,0.007
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+28.56,41.38,0.009
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+32.9,20.48,0.002
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+32.9,51.25,0.018
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+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv
new file mode 100644
index 0000000000..e7aa7cc143
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t15
+#: name: Table 7 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $|\eta|<0.5$ region with dijet measurements with the the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_7_supplemental_material.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+6.0,20.29,0.019
+6.0,23.5,0.02
+6.0,28.28,0.02
+6.0,34.15,0.013
+6.0,40.96,0.011
+6.0,50.75,0.015
+6.0,69.11,0.01
+7.31,20.29,0.024
+7.31,23.5,0.019
+7.31,28.28,0.013
+7.31,34.15,0.008
+7.31,40.96,0.007
+7.31,50.75,0.009
+7.31,69.11,0.006
+9.47,20.29,0.066
+9.47,23.5,0.062
+9.47,28.28,0.036
+9.47,34.15,0.017
+9.47,40.96,0.014
+9.47,50.75,0.018
+9.47,69.11,0.012
+11.33,20.29,0.077
+11.33,23.5,0.098
+11.33,28.28,0.07
+11.33,34.15,0.025
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+11.33,50.75,0.015
+11.33,69.11,0.01
+13.36,20.29,0.042
+13.36,23.5,0.106
+13.36,28.28,0.122
+13.36,34.15,0.068
+13.36,40.96,0.021
+13.36,50.75,0.017
+13.36,69.11,0.011
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+15.74,23.5,0.066
+15.74,28.28,0.12
+15.74,34.15,0.135
+15.74,40.96,0.061
+15.74,50.75,0.019
+15.74,69.11,0.009
+18.43,20.29,0.016
+18.43,23.5,0.033
+18.43,28.28,0.078
+18.43,34.15,0.138
+18.43,40.96,0.149
+18.43,50.75,0.055
+18.43,69.11,0.011
+21.49,20.29,0.013
+21.49,23.5,0.018
+21.49,28.28,0.038
+21.49,34.15,0.075
+21.49,40.96,0.16
+21.49,50.75,0.161
+21.49,69.11,0.011
+25.1,20.29,0.012
+25.1,23.5,0.015
+25.1,28.28,0.02
+25.1,34.15,0.03
+25.1,40.96,0.078
+25.1,50.75,0.236
+25.1,69.11,0.038
+29.17,20.29,0.007
+29.17,23.5,0.009
+29.17,28.28,0.01
+29.17,34.15,0.011
+29.17,40.96,0.024
+29.17,50.75,0.164
+29.17,69.11,0.168
+33.81,20.29,0.004
+33.81,23.5,0.005
+33.81,28.28,0.006
+33.81,34.15,0.005
+33.81,40.96,0.007
+33.81,50.75,0.057
+33.81,69.11,0.259
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv
new file mode 100644
index 0000000000..73fb408e65
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv
@@ -0,0 +1,86 @@
+#: table_doi: 10.17182/hepdata.104836.v1/t16
+#: name: Table 8 Supplemental Material
+#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $|\eta|<0.5$ region with dijet measurements with the the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values.
+#: data_file: table_8_supplemental_material.yaml
+#: keyword reactions: P P --> JET X | P P --> JET JET X
+#: keyword observables: CORR
+#: SQRT(S) [GeV],200
+Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation
+6.0,20.48,0.022
+6.0,23.65,0.021
+6.0,28.5,0.02
+6.0,34.38,0.013
+6.0,41.38,0.011
+6.0,51.25,0.015
+6.0,69.96,0.007
+7.31,20.48,0.027
+7.31,23.65,0.022
+7.31,28.5,0.014
+7.31,34.38,0.008
+7.31,41.38,0.007
+7.31,51.25,0.009
+7.31,69.96,0.004
+9.47,20.48,0.075
+9.47,23.65,0.07
+9.47,28.5,0.042
+9.47,34.38,0.019
+9.47,41.38,0.013
+9.47,51.25,0.018
+9.47,69.96,0.009
+11.33,20.48,0.07
+11.33,23.65,0.103
+11.33,28.5,0.079
+11.33,34.38,0.032
+11.33,41.38,0.014
+11.33,51.25,0.016
+11.33,69.96,0.008
+13.36,20.48,0.031
+13.36,23.65,0.099
+13.36,28.5,0.124
+13.36,34.38,0.082
+13.36,41.38,0.028
+13.36,51.25,0.018
+13.36,69.96,0.008
+15.74,20.48,0.013
+15.74,23.65,0.053
+15.74,28.5,0.111
+15.74,34.38,0.138
+15.74,41.38,0.08
+15.74,51.25,0.024
+15.74,69.96,0.007
+18.43,20.48,0.016
+18.43,23.65,0.027
+18.43,28.5,0.069
+18.43,34.38,0.122
+18.43,41.38,0.156
+18.43,51.25,0.078
+18.43,69.96,0.009
+21.49,20.48,0.013
+21.49,23.65,0.017
+21.49,28.5,0.033
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+21.49,41.38,0.139
+21.49,51.25,0.183
+21.49,69.96,0.013
+25.1,20.48,0.012
+25.1,23.65,0.015
+25.1,28.5,0.019
+25.1,34.38,0.027
+25.1,41.38,0.063
+25.1,51.25,0.226
+25.1,69.96,0.062
+29.17,20.48,0.007
+29.17,23.65,0.009
+29.17,28.5,0.01
+29.17,34.38,0.01
+29.17,41.38,0.02
+29.17,51.25,0.138
+29.17,69.96,0.196
+33.81,20.48,0.004
+33.81,23.65,0.005
+33.81,28.5,0.006
+33.81,34.38,0.004
+33.81,41.38,0.007
+33.81,51.25,0.046
+33.81,69.96,0.248
+
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml
new file mode 100644
index 0000000000..e9f0e63bde
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml
@@ -0,0 +1,572 @@
+definitions:
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2015LUMI
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2015POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc35
+bins:
+- lumi: 0.0007
+  pol: 1.22e-05
+  sys_0: 2.809959437757453e-05
+  sys_1: -7.185392731632926e-06
+  sys_2: 2.032057491627476e-05
+  sys_3: 1.9819369009025838e-05
+  sys_4: -2.364871675859988e-05
+  sys_5: 8.650219323299149e-05
+  sys_6: -2.174034766270273e-05
+  sys_7: 4.019382956998368e-05
+  sys_8: -2.6847481352734624e-05
+  sys_9: 6.102559860998911e-05
+  sys_10: 9.151332020142007e-05
+  sys_11: -9.403203974284458e-05
+  sys_12: 3.825634787164059e-05
+  sys_13: -0.00012603378487528342
+  sys_14: 0.00020212422029433126
+  sys_15: -0.0003717807941914203
+  sys_16: 0.000116588625227863
+  sys_17: -0.0002296367619210727
+  sys_18: 5.6743176030740096e-05
+  sys_19: -0.0001312302124088049
+  sys_20: -0.0004753312842740866
+  sys_21: -0.0011933124320179292
+  sys_22: -0.0004372565456283063
+  sys_23: -0.0002021157871700671
+  sys_24: -0.0008139502948908713
+  sys_25: 0.00011838917732219757
+  sys_26: 0.00013248180517322575
+  sys_27: -0.0004960975183387767
+  sys_28: 1.4965574734465321e-05
+  sys_29: 0.0005578784953858285
+  sys_30: -9.311393813485821e-05
+  sys_31: -0.0008378635705710827
+  sys_32: 8.273770777404491e-06
+  sys_33: -0.00016155422445124023
+  sys_34: 0.00015049207022036924
+  sys_35: 1.5596687777284e-05
+- lumi: 0.0007
+  pol: 3.6599999999999995e-05
+  sys_0: 1.8149426066360522e-05
+  sys_1: -4.423934412528832e-06
+  sys_2: 1.4395689948905659e-05
+  sys_3: 1.8355811290465007e-05
+  sys_4: -1.7155939576204963e-05
+  sys_5: 6.472329017651851e-05
+  sys_6: -2.178393001479839e-05
+  sys_7: 2.6439683484474728e-05
+  sys_8: -1.9500053202074446e-05
+  sys_9: 4.717063750854134e-05
+  sys_10: 7.310665766034574e-05
+  sys_11: -8.053564639801155e-05
+  sys_12: 3.0805018179882256e-05
+  sys_13: -0.00010226700621847391
+  sys_14: 0.00017087625983496359
+  sys_15: -0.0003423310799906059
+  sys_16: 8.414996352568861e-05
+  sys_17: -0.00021135630918570278
+  sys_18: 3.086366974430853e-05
+  sys_19: -0.00010611478007238274
+  sys_20: -0.00042982184062897386
+  sys_21: -0.0011236477365984304
+  sys_22: -0.00041255768415914804
+  sys_23: -0.0001838085751931462
+  sys_24: -0.0008244448704981528
+  sys_25: 0.00013322279840738318
+  sys_26: 5.596533746237118e-05
+  sys_27: -0.0001621382057411061
+  sys_28: 1.4607266255739876e-05
+  sys_29: 1.05451567242284e-05
+  sys_30: -2.176751474050312e-05
+  sys_31: 0.0012116679252942766
+  sys_32: -1.7984430129058662e-05
+  sys_33: -0.00028625916889107167
+  sys_34: 0.0003965529449374572
+  sys_35: 2.4350602387981475e-05
+- lumi: 0.0007
+  pol: 0.00020739999999999997
+  sys_0: 2.3737686267900512e-05
+  sys_1: -5.1348402274832466e-06
+  sys_2: 1.8188519894305523e-05
+  sys_3: 1.4426767055528131e-05
+  sys_4: -2.007081779898205e-05
+  sys_5: 6.950843350959866e-05
+  sys_6: -1.4275043443782747e-05
+  sys_7: 3.5728858010560964e-05
+  sys_8: -1.9971486427864997e-05
+  sys_9: 4.99856373408251e-05
+  sys_10: 7.098032635183504e-05
+  sys_11: -6.78766558071543e-05
+  sys_12: 3.381818510471825e-05
+  sys_13: -0.0001017462986720906
+  sys_14: 0.0001613913863272056
+  sys_15: -0.0003196402599757852
+  sys_16: 1.363891741293072e-05
+  sys_17: -0.0002187616434039494
+  sys_18: 5.0754248914926635e-06
+  sys_19: -8.077638899250048e-05
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+  sys_26: -0.0008559543252754121
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+  sys_32: -7.1129991636158285e-06
+  sys_33: -6.357098171175973e-05
+  sys_34: 7.504460058414215e-05
+  sys_35: 5.608715537593189e-06
+- lumi: 0.0007
+  pol: 0.0002501
+  sys_0: 1.937683040766588e-05
+  sys_1: -5.396669160663762e-06
+  sys_2: 1.4897495063307904e-05
+  sys_3: 1.1518787349516082e-05
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+  sys_7: 3.225134943571696e-05
+  sys_8: -1.5858074848960698e-05
+  sys_9: 4.4256556494805665e-05
+  sys_10: 6.467836680618835e-05
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+  sys_12: 3.5335917342187895e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml
new file mode 100644
index 0000000000..8d99002b25
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml
@@ -0,0 +1,572 @@
+definitions:
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2015LUMI
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2015POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc35
+bins:
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+  pol: 1.2810000000000001e-05
+  sys_0: 1.285223974365419e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_OS.yaml
new file mode 100644
index 0000000000..7fcb4963f4
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_OS.yaml
@@ -0,0 +1,8 @@
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_SS.yaml
new file mode 100644
index 0000000000..66487c6ce3
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_SS.yaml
@@ -0,0 +1,8 @@
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml
new file mode 100644
index 0000000000..4e30f535e0
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml
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+  m_jj:
+    max: 42.300000000000004
+    mid: 41.38
+    min: 40.46
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 52.33
+    mid: 51.25
+    min: 50.17
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 71.27
+    mid: 69.96
+    min: 68.64999999999999
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml
new file mode 100644
index 0000000000..c185447fb1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml
@@ -0,0 +1,85 @@
+bins:
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 20.82
+    mid: 20.29
+    min: 19.759999999999998
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 24.11
+    mid: 23.5
+    min: 22.89
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 28.94
+    mid: 28.28
+    min: 27.62
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 34.93
+    mid: 34.15
+    min: 33.37
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 41.85
+    mid: 40.96
+    min: 40.07
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 51.78
+    mid: 50.75
+    min: 49.72
+- abs_eta_1:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  abs_eta_2:
+    max: 0.8
+    mid: 0.4
+    min: 0.0
+  m_jj:
+    max: 70.42
+    mid: 69.11
+    min: 67.8
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml
new file mode 100644
index 0000000000..8457a92e91
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml
@@ -0,0 +1,92 @@
+setname: "STAR_2015_2JET_MIDRAP_200GEV"
+
+nnpdf_metadata:
+  experiment: "STAR"
+  nnpdf31_process: "DIJET"
+
+arXiv:
+  url: https://arxiv.org/abs/2103.05571
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1850855"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1850855"
+  version: 1
+
+version: 1
+version_comment: "Initial implementation"
+
+implemented_observables:
+  - observable:
+      {
+        description: 'ALL as function of $M_{inv}$, opposite sign $\eta$ topology',
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: OS-ALL
+    process_type: DIJET_POL
+    ndata: 7
+    tables: [2]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_OS.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_OS.yaml
+    data_uncertainties:
+      - uncertainties_OS.yaml
+    plotting:
+      dataset_label: 'STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology'
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2015_2JET_MIDRAP_200GEV_OS-ALL-POL
+        - - STAR_2015_2JET_MIDRAP_200GEV_OS-ALL-UNPOL
+      operation: "ratio"
+  - observable:
+      {
+        description: 'ALL as function of $M_{inv}$, same sign $\eta$ topology',
+        label: "$A_{LL}$",
+        units: "",
+      }
+    observable_name: SS-ALL
+    process_type: DIJET_POL
+    ndata: 7
+    tables: [2]
+    kinematics:
+      variables:
+        m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" }
+        # sqrts:
+        #   {
+        #     description: "center of mass energy",
+        #     label: r"$\sqrt(s)$",
+        #     units: "GeV",
+        #   }
+        abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+        abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" }
+      file: kinematics_SS.yaml
+    kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2]
+    data_central: data_SS.yaml
+    data_uncertainties:
+      - uncertainties_SS.yaml
+    plotting:
+      dataset_label: 'STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology'
+      kinematics_override: identity
+      plot_x: m_jj
+      x_scale: log
+      y_label: "$A_{LL}$"
+    theory:
+      FK_tables:
+        - - STAR_2015_2JET_MIDRAP_200GEV_SS-ALL-POL
+        - - STAR_2015_2JET_MIDRAP_200GEV_SS-ALL-UNPOL
+      operation: "ratio"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml
new file mode 100644
index 0000000000..9099d415c4
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml
@@ -0,0 +1,420 @@
+definitions:
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2015LUMI
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2015POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc5
+  sys_6:
+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc6
+  sys_7:
+    description: 7 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc7
+  sys_8:
+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc8
+  sys_9:
+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc9
+  sys_10:
+    description: 10 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc10
+  sys_11:
+    description: 11 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc11
+  sys_12:
+    description: 12 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc12
+  sys_13:
+    description: 13 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc13
+  sys_14:
+    description: 14 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc14
+  sys_15:
+    description: 15 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc15
+  sys_16:
+    description: 16 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc16
+  sys_17:
+    description: 17 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc17
+  sys_18:
+    description: 18 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc18
+  sys_19:
+    description: 19 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc19
+  sys_20:
+    description: 20 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc20
+  sys_21:
+    description: 21 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc21
+  sys_22:
+    description: 22 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc22
+  sys_23:
+    description: 23 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc23
+  sys_24:
+    description: 24 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc24
+  sys_25:
+    description: 25 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc25
+  sys_26:
+    description: 26 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc26
+  sys_27:
+    description: 27 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc27
+  sys_28:
+    description: 28 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc28
+  sys_29:
+    description: 29 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc29
+  sys_30:
+    description: 30 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc30
+  sys_31:
+    description: 31 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc31
+  sys_32:
+    description: 32 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc32
+  sys_33:
+    description: 33 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc33
+  sys_34:
+    description: 34 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc34
+  sys_35:
+    description: 35 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc35
+bins:
+- lumi: 0.0007
+  pol: 0.00040869999999999996
+  sys_0: 2.4205120959673334e-05
+  sys_1: -5.444190877463483e-06
+  sys_2: 1.5722791645983914e-05
+  sys_3: -6.00136111950355e-07
+  sys_4: -2.1523535174843234e-05
+  sys_5: 4.927704250451052e-05
+  sys_6: 8.726953624519251e-06
+  sys_7: 4.152523004109835e-05
+  sys_8: -1.554948658764077e-05
+  sys_9: 3.8864479998395915e-05
+  sys_10: 5.071407727323686e-05
+  sys_11: -1.6060393426230818e-05
+  sys_12: 3.870221739166212e-05
+  sys_13: -0.00010852752234012185
+  sys_14: 0.0002697387518753302
+  sys_15: -0.0024825800314653757
+  sys_16: -0.0030871425533248046
+  sys_17: 0.0006173926551777016
+  sys_18: -8.851627347014294e-05
+  sys_19: 7.787109442314204e-05
+  sys_20: 0.0001828028173424944
+  sys_21: 0.00016234822259028216
+  sys_22: 7.300832313234382e-06
+  sys_23: -2.014553836726235e-05
+  sys_24: 4.7556622120913694e-05
+  sys_25: 5.529234832500124e-06
+  sys_26: 6.532877411333795e-06
+  sys_27: -2.745015935547167e-05
+  sys_28: -1.7233455643885712e-05
+  sys_29: 6.436491656599522e-06
+  sys_30: 1.566619909507939e-05
+  sys_31: 6.08903312151212e-06
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+  sys_33: 1.4515999587259596e-05
+  sys_34: -4.431790318334802e-06
+  sys_35: -1.1143495479759462e-05
+- lumi: 0.0007
+  pol: 0.00014639999999999998
+  sys_0: 2.2711268975888834e-05
+  sys_1: -5.07405519977087e-06
+  sys_2: 1.2522827433063763e-05
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml
new file mode 100644
index 0000000000..69af9aac46
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml
@@ -0,0 +1,420 @@
+definitions:
+  lumi:
+    description: luminosity uncertainty
+    treatment: ADD
+    type: STAR2015LUMI
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STAR2015POL
+  sys_0:
+    description: 0 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc0
+  sys_1:
+    description: 1 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc1
+  sys_2:
+    description: 2 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc2
+  sys_3:
+    description: 3 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc3
+  sys_4:
+    description: 4 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc4
+  sys_5:
+    description: 5 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc5
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+    description: 6 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc6
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+    treatment: ADD
+    type: STAR2015JETunc7
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+    description: 8 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc8
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+    description: 9 artificial correlated statistical + systematics uncertainty
+    treatment: ADD
+    type: STAR2015JETunc9
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+    treatment: ADD
+    type: STAR2015JETunc10
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diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/data_wm.yaml
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/data.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/data_wm.yaml
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/data_wp.yaml
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/data.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/data_wp.yaml
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/filter.py
new file mode 100644
index 0000000000..3e73c56d19
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/filter.py
@@ -0,0 +1,85 @@
+"""This script provides the common filer to the DY, WP, WM combined STAR 2011-2013 datasets.
+
+NOTE: 
+    * The beam polarization uncertainty are not included in the systematics, 
+    so it is added manually.
+    * Correlation are provided only for the 20213 data, so are not included.
+"""
+import pandas as pd
+import yaml
+
+ECM = 510
+MW = 80.398
+POL_UNC = 0.033
+
+
+def read_data(fname):
+    df = pd.read_csv(fname, delimiter=",", skiprows=10)
+    df["M2"] = MW**2
+    df["sqrts"] = ECM
+    df["pol"] = abs(POL_UNC * df["$A_L$"])
+    return df
+
+
+def write_data(df, boson):
+    data_central = df["$A_L$"].tolist()
+    data_central_yaml = {"data_central": data_central}
+    with open(f"data_{boson}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(data_central_yaml, file, sort_keys=False)
+
+    # Write kin file
+    kin = []
+    for i in range(len(df)):
+        kin_value = {
+            "eta": {"min": None, "mid": float(df.loc[i, "$\eta_e$"]), "max": None},
+            "M2": {"min": None, "mid": float(df.loc[i, "M2"]), "max": None},
+            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
+        }
+        kin.append(kin_value)
+    kinematics_yaml = {"bins": kin}
+
+    with open(f"kinematics_{boson}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(kinematics_yaml, file, sort_keys=False)
+
+    # Write unc file
+    error = []
+    for i in range(len(df)):
+        # here uncertainties are symmetric
+        e = {
+            "stat": float(df.loc[i, "stat +"]),
+            "sys": float(df.loc[i, "syst +"]),
+            "pol": float(df.loc[i, "pol"]),
+        }
+        error.append(e)
+
+    error_definition = {
+        "stat": {
+            "description": "statistical uncertainty",
+            "treatment": "ADD",
+            "type": "UNCORR",
+        },
+        "sys": {
+            "description": "systematic uncertainty",
+            "treatment": "ADD",
+            "type": "UNCORR",
+        },
+        "pol": {
+            "description": "beam polarization uncertainty",
+            "treatment": "MULT",
+            "type": "STARWMWPPOL",
+        },
+    }
+
+    uncertainties_yaml = {"definitions": error_definition, "bins": error}
+
+    with open(f"uncertainties_{boson}.yaml", "w", encoding="utf-8") as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    # Wp
+    df = read_data("rawdata/Figure5,A_LforW^+rightarrowe^+,combineddatasamples.csv")
+    write_data(df, boson="wp")
+    # Wm
+    df = read_data("rawdata/Figure5,A_LforW^-rightarrowe^-,combineddatasamples.csv")
+    write_data(df, boson="wm")
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/kinematics_wm.yaml
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/kinematics.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/kinematics_wm.yaml
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/kinematics_wp.yaml
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/kinematics.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/kinematics_wp.yaml
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/metadata.yaml
new file mode 100644
index 0000000000..8f37e84988
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/metadata.yaml
@@ -0,0 +1,92 @@
+# Generalia
+setname: "STAR_WMWP_510GEV"
+
+version: 1
+version_comment: "Initial implementation"
+
+# References
+arXiv:
+  url: "https://arxiv.org/abs/1812.04817"
+iNSPIRE:
+  url: "https://inspirehep.net/literature/1708793"
+hepdata:
+  url: "https://www.hepdata.net/record/ins1708793"
+
+nnpdf_metadata:
+  nnpdf31_process: "DY CC"
+  experiment: "STAR"
+
+implemented_observables:
+  - observable_name: "WM-AL"
+    observable:
+      description: Longitudinal single-spin asymmetry $A_L$ for $W^-$ production as a function of the lepton pseudorapidity, $\eta_e$
+      label: $A_L$
+      units: ""
+    process_type: "EWK_RAP_ASY"
+    ndata: 6
+    tables: [5]
+    npoints: [6]
+
+    # Plotting information
+    plotting:
+      kinematics_override: ewk_rap_sqrt_scale
+      dataset_label: STAR $W^{-} \rightarrow e^{-}$
+      y_label: $A_L(\eta_{e})$
+      plot_x: eta
+      line_by: []
+      figure_by: []
+    kinematic_coverage: [eta, M2, sqrts]
+
+    kinematics:
+      variables:
+        eta: { description: "Lepton pseudorapidity", label: $\eta$, units: "" }
+        M2: { description: "W boson Mass", label: "$M^2$", units: "$GeV^2$" }
+        sqrts: { description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$" }
+      file: kinematics_wm.yaml
+
+    data_central: data_wm.yaml
+    data_uncertainties:
+      - uncertainties_wm.yaml
+
+    theory:
+      FK_tables:
+        - - STAR_WMWP_510GEV_WM-AL-POL
+        - - STAR_WMWP_510GEV_WM-AL-UNPOL
+      operation: "ratio"
+
+  - observable_name: "WP-AL"
+    observable:
+      description: Longitudinal single-spin asymmetry $A_L$ for $W^+$ production as a function of the lepton pseudorapidity, $\eta_e$
+      label: $A_L$
+      units: ""
+    process_type: "EWK_RAP_ASY"
+    ndata: 6
+    tables: [5]
+    npoints: [6]
+
+    # Plotting information
+    plotting:
+      kinematics_override: ewk_rap_sqrt_scale
+      dataset_label: STAR $W^{+} \rightarrow e^{+}$
+      y_label: $A_L(\eta_{e})$
+      plot_x: eta
+      line_by: []
+      figure_by: []
+    kinematic_coverage: [eta, M2, sqrts]
+
+    kinematics:
+      variables:
+        eta: { description: "Lepton pseudorapidity", label: '$\eta$', units: "" }
+        M2: { description: "W boson Mass", label: "$M^2$", units: "$GeV^2$" }
+        sqrts: { description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$" }
+      file: kinematics_wp.yaml
+
+    data_central: data_wp.yaml
+    data_uncertainties:
+      - uncertainties_wp.yaml
+
+    theory:
+      FK_tables:
+        - - STAR_WMWP_510GEV_WP-AL-POL
+        - - STAR_WMWP_510GEV_WP-AL-UNPOL
+      operation: "ratio"
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/rawdata/Figure5,A_LforW^+rightarrowe^+,combineddatasamples.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/Figure5,A_LforW^+rightarrowe^+,combineddatasamples.csv
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/rawdata/Figure5,A_LforW^+rightarrowe^+,combineddatasamples.csv
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/Figure5,A_LforW^+rightarrowe^+,combineddatasamples.csv
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/rawdata/Figure5,A_LforW^-rightarrowe^-,combineddatasamples.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/Figure5,A_LforW^-rightarrowe^-,combineddatasamples.csv
similarity index 100%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/rawdata/Figure5,A_LforW^-rightarrowe^-,combineddatasamples.csv
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/Figure5,A_LforW^-rightarrowe^-,combineddatasamples.csv
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/uncertainties_wm.yaml
similarity index 61%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/uncertainties.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/uncertainties_wm.yaml
index f46e9f5933..9361ba7be4 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/uncertainties.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/uncertainties_wm.yaml
@@ -7,16 +7,26 @@ definitions:
     description: systematic uncertainty
     treatment: ADD
     type: UNCORR
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STARWMWPPOL
 bins:
 - stat: 0.146
   sys: 0.002
+  pol: 0.007953
 - stat: 0.051
   sys: 0.004
+  pol: 0.00858
 - stat: 0.056
   sys: 0.001
+  pol: 0.009273000000000002
 - stat: 0.056
   sys: 0.002
+  pol: 0.007887
 - stat: 0.051
   sys: 0.004
+  pol: 0.012705000000000001
 - stat: 0.148
   sys: 0.002
+  pol: 0.006765
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/uncertainties_wp.yaml
similarity index 61%
rename from nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/uncertainties.yaml
rename to nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/uncertainties_wp.yaml
index f6ac0e8f8c..b0904888ff 100644
--- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/uncertainties.yaml
+++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/uncertainties_wp.yaml
@@ -7,16 +7,26 @@ definitions:
     description: systematic uncertainty
     treatment: ADD
     type: UNCORR
+  pol:
+    description: beam polarization uncertainty
+    treatment: MULT
+    type: STARWMWPPOL
 bins:
 - stat: 0.145
   sys: 0.012
+  pol: 0.010296000000000001
 - stat: 0.03
   sys: 0.011
+  pol: 0.008283
 - stat: 0.023
   sys: 0.007
+  pol: 0.010923
 - stat: 0.023
   sys: 0.005
+  pol: 0.013596
 - stat: 0.029
   sys: 0.013
+  pol: 0.017622000000000002
 - stat: 0.14
   sys: 0.014
+  pol: 0.015906
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/filter.py
deleted file mode 100644
index 55841646fc..0000000000
--- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/filter.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import glob
-
-import pandas as pd
-import yaml
-
-ECM = 510
-MW = 80.398
-
-
-def read_data(fnames):
-    df = pd.DataFrame()
-    for fname in fnames:
-        df = pd.read_csv(fname, delimiter=",", skiprows=10)
-        df["M2"] = MW**2
-        df["sqrts"] = ECM
-    return df
-
-
-def write_data(df):
-    data_central = df["$A_L$"].tolist()
-    data_central_yaml = {"data_central": data_central}
-    with open("data.yaml", "w", encoding="utf-8") as file:
-        yaml.dump(data_central_yaml, file, sort_keys=False)
-
-    # Write kin file
-    kin = []
-    for i in range(len(df)):
-        kin_value = {
-            "eta": {"min": None, "mid": float(df.loc[i, "$\eta_e$"]), "max": None},
-            "M2": {"min": None, "mid": float(df.loc[i, "M2"]), "max": None},
-            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
-        }
-        kin.append(kin_value)
-    kinematics_yaml = {"bins": kin}
-
-    with open("kinematics.yaml", "w", encoding="utf-8") as file:
-        yaml.dump(kinematics_yaml, file, sort_keys=False)
-
-    # Write unc file
-    error = []
-    for i in range(len(df)):
-        # here uncertainties are symmetric
-        e = {"stat": float(df.loc[i, "stat +"]), "sys": float(df.loc[i, "syst +"])}
-        error.append(e)
-
-    error_definition = {
-        "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"},
-        "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"},
-    }
-
-    uncertainties_yaml = {"definitions": error_definition, "bins": error}
-
-    with open("uncertainties.yaml", "w", encoding="utf-8") as file:
-        yaml.dump(uncertainties_yaml, file, sort_keys=False)
-
-
-if __name__ == "__main__":
-    fnames = glob.glob("rawdata/*.csv")
-    df = read_data(fnames)
-    write_data(df)
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/metadata.yaml
deleted file mode 100644
index eec81d1380..0000000000
--- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WM_510GEV/metadata.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-# Generalia
-setname: "STAR_WM_510GEV"
-
-version: 1
-version_comment: "Initial implementation"
-
-# References
-arXiv:
-  url: "https://arxiv.org/abs/1812.04817"
-iNSPIRE:
-  url: "https://inspirehep.net/literature/1708793"
-hepdata:
-  url: "https://www.hepdata.net/record/ins1708793"
-
-nnpdf_metadata:
-  nnpdf31_process: "DY CC"
-  experiment: "STAR"
-
-implemented_observables:
-  - observable_name: "AL"
-    observable:
-      description: "Longitudinal single-spin asymmetry $A_L$ for $W^-$ production as a function of the lepton pseudorapidity, $\eta_e$"
-      label: "$A_L$"
-      units: ""
-    process_type: "EWK_RAP"
-    ndata: 6
-    tables: [5]
-    npoints: [6]
-
-    # Plotting information
-    plotting:
-      kinematics_override: ewk_rap_sqrt_scale
-      dataset_label: "STAR $W^{-} \rightarrow e^{-}$"
-      y_label: "$A_L(\eta_{e})$"
-      plot_x: eta
-      line_by: []
-      figure_by: []
-    kinematic_coverage: [eta, M2, sqrts]
-
-    kinematics:
-      variables:
-        eta: { description: "Lepton pseudorapidity", label: '$\eta$', units: "" }
-        M2: { description: "W boson Mass", label: "$M^2$", units: "$GeV^2$" }
-        sqrts: { description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$" }
-      file: kinematics.yaml
-
-    data_central: data.yaml
-    data_uncertainties:
-      - uncertainties.yaml
-
-    theory:
-      FK_tables:
-        - - STAR_WM_510GEV_AL
-      operation: "null"
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/filter.py
deleted file mode 100644
index 55841646fc..0000000000
--- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/filter.py
+++ /dev/null
@@ -1,60 +0,0 @@
-import glob
-
-import pandas as pd
-import yaml
-
-ECM = 510
-MW = 80.398
-
-
-def read_data(fnames):
-    df = pd.DataFrame()
-    for fname in fnames:
-        df = pd.read_csv(fname, delimiter=",", skiprows=10)
-        df["M2"] = MW**2
-        df["sqrts"] = ECM
-    return df
-
-
-def write_data(df):
-    data_central = df["$A_L$"].tolist()
-    data_central_yaml = {"data_central": data_central}
-    with open("data.yaml", "w", encoding="utf-8") as file:
-        yaml.dump(data_central_yaml, file, sort_keys=False)
-
-    # Write kin file
-    kin = []
-    for i in range(len(df)):
-        kin_value = {
-            "eta": {"min": None, "mid": float(df.loc[i, "$\eta_e$"]), "max": None},
-            "M2": {"min": None, "mid": float(df.loc[i, "M2"]), "max": None},
-            "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None},
-        }
-        kin.append(kin_value)
-    kinematics_yaml = {"bins": kin}
-
-    with open("kinematics.yaml", "w", encoding="utf-8") as file:
-        yaml.dump(kinematics_yaml, file, sort_keys=False)
-
-    # Write unc file
-    error = []
-    for i in range(len(df)):
-        # here uncertainties are symmetric
-        e = {"stat": float(df.loc[i, "stat +"]), "sys": float(df.loc[i, "syst +"])}
-        error.append(e)
-
-    error_definition = {
-        "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"},
-        "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"},
-    }
-
-    uncertainties_yaml = {"definitions": error_definition, "bins": error}
-
-    with open("uncertainties.yaml", "w", encoding="utf-8") as file:
-        yaml.dump(uncertainties_yaml, file, sort_keys=False)
-
-
-if __name__ == "__main__":
-    fnames = glob.glob("rawdata/*.csv")
-    df = read_data(fnames)
-    write_data(df)
diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/metadata.yaml
deleted file mode 100644
index 67fb18f0f3..0000000000
--- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WP_510GEV/metadata.yaml
+++ /dev/null
@@ -1,54 +0,0 @@
-# Generalia
-setname: "STAR_WP_510GEV"
-
-version: 1
-version_comment: "Initial implementation"
-
-# References
-arXiv:
-  url: "https://arxiv.org/abs/1812.04817"
-iNSPIRE:
-  url: "https://inspirehep.net/literature/1708793"
-hepdata:
-  url: "https://www.hepdata.net/record/ins1708793"
-
-nnpdf_metadata:
-  nnpdf31_process: "DY CC"
-  experiment: "STAR"
-
-implemented_observables:
-  - observable_name: "AL"
-    observable:
-      description: "Longitudinal single-spin asymmetry $A_L$ for $W^+$ production as a function of the lepton pseudorapidity, $\eta_e$"
-      label: "$A_L$"
-      units: ""
-    process_type: "EWK_RAP"
-    ndata: 6
-    tables: [5]
-    npoints: [6]
-
-    # Plotting information
-    plotting:
-      kinematics_override: ewk_rap_sqrt_scale
-      dataset_label: "STAR $W^{+} \rightarrow e^{+}$"
-      y_label: "$A_L(\eta_{e})$"
-      plot_x: eta
-      line_by: []
-      figure_by: []
-    kinematic_coverage: [eta, M2, sqrts]
-
-    kinematics:
-      variables:
-        eta: { description: "Lepton pseudorapidity", label: '$\eta$', units: "" }
-        M2: { description: "W boson Mass", label: "$M^2$", units: "$GeV^2$" }
-        sqrts: { description: "Center of Mass Energy", label: '$\sqrt{s}$', units: "$GeV$" }
-      file: kinematics.yaml
-
-    data_central: data.yaml
-    data_uncertainties:
-      - uncertainties.yaml
-
-    theory:
-      FK_tables:
-        - - STAR_WP_510GEV_AL
-      operation: "null"
diff --git a/nnpdf_data/nnpdf_data/theory_cards/20000000.yaml b/nnpdf_data/nnpdf_data/theory_cards/20000000.yaml
new file mode 100644
index 0000000000..45468d8eb1
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/theory_cards/20000000.yaml
@@ -0,0 +1,47 @@
+Comments: Polarised NNPDF2.0 NNLO alphas=0.118 with nFONLL
+ID: 20_000_000
+XIF: 1.0
+XIR: 1.0
+CKM:
+- 0.97428
+- 0.2253
+- 0.00347
+- 0.2252
+- 0.97345
+- 0.041
+- 0.00862
+- 0.0403
+- 0.999152
+DAMP: 0
+FNS: FONLL-C
+GF: 1.1663787e-05
+HQ: POLE
+IC: 0
+MP: 0.938
+MW: 80.398
+MZ: 91.1876
+MaxNfPdf: 5
+ModEv: TRN
+ModSV: null
+NfFF: 4
+PTO: 2
+Q0: 1.0
+QED: 0
+Qmb: 4.92
+Qmc: 1.51
+Qmt: 172.5
+Qref: 91.2
+SIN2TW: 0.23126
+TMC: 3
+alphaqed: 0.007496252
+alphas: 0.118
+kbThr: 1.0
+kcThr: 1.0
+ktThr: 1.0
+mb: 4.92
+mc: 1.51
+mt: 172.5
+nfref: 5
+nf0: 3
+n3lo_cf_variation: 0
+n3lo_ad_variation: [0,0,0,0,0,0,0]
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+MaxNfPdf: 5
+ModEv: TRN
+ModSV: null
+NfFF: 4
+PTO: 1
+Q0: 1.0
+QED: 0
+Qmb: 4.92
+Qmc: 1.51
+Qmt: 172.5
+Qref: 91.2
+SIN2TW: 0.23126
+TMC: 3
+alphaqed: 0.007496252
+alphas: 0.118
+kbThr: 1.0
+kcThr: 1.0
+ktThr: 1.0
+mb: 4.92
+mc: 1.51
+mt: 172.5
+nfref: 5
+nf0: 3
+n3lo_cf_variation: 0
+n3lo_ad_variation: [0,0,0,0,0,0,0]
diff --git a/nnpdf_data/nnpdf_data/theory_cards/20002005.yaml b/nnpdf_data/nnpdf_data/theory_cards/20002005.yaml
new file mode 100644
index 0000000000..c06643b75b
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/theory_cards/20002005.yaml
@@ -0,0 +1,47 @@
+Comments: Polarised NNPDF2.0 NLO alphas=0.118 with nFONLL, XIF=1.0, XIR=2.0
+ID: 20_002_005
+XIF: 1.0
+XIR: 2.0
+CKM:
+- 0.97428
+- 0.2253
+- 0.00347
+- 0.2252
+- 0.97345
+- 0.041
+- 0.00862
+- 0.0403
+- 0.999152
+DAMP: 0
+FNS: FONLL-A
+GF: 1.1663787e-05
+HQ: POLE
+IC: 0
+MP: 0.938
+MW: 80.398
+MZ: 91.1876
+MaxNfPdf: 5
+ModEv: TRN
+ModSV: null
+NfFF: 4
+PTO: 1
+Q0: 1.0
+QED: 0
+Qmb: 4.92
+Qmc: 1.51
+Qmt: 172.5
+Qref: 91.2
+SIN2TW: 0.23126
+TMC: 3
+alphaqed: 0.007496252
+alphas: 0.118
+kbThr: 1.0
+kcThr: 1.0
+ktThr: 1.0
+mb: 4.92
+mc: 1.51
+mt: 172.5
+nfref: 5
+nf0: 3
+n3lo_cf_variation: 0
+n3lo_ad_variation: [0,0,0,0,0,0,0]
diff --git a/nnpdf_data/nnpdf_data/theory_cards/20002006.yaml b/nnpdf_data/nnpdf_data/theory_cards/20002006.yaml
new file mode 100644
index 0000000000..7d4bfc4790
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/theory_cards/20002006.yaml
@@ -0,0 +1,47 @@
+Comments: Polarised NNPDF2.0 NLO alphas=0.118 with nFONLL, XIF=2.0, XIR=0.5
+ID: 20_002_006
+XIF: 2.0
+XIR: 0.5
+CKM:
+- 0.97428
+- 0.2253
+- 0.00347
+- 0.2252
+- 0.97345
+- 0.041
+- 0.00862
+- 0.0403
+- 0.999152
+DAMP: 0
+FNS: FONLL-A
+GF: 1.1663787e-05
+HQ: POLE
+IC: 0
+MP: 0.938
+MW: 80.398
+MZ: 91.1876
+MaxNfPdf: 5
+ModEv: TRN
+ModSV: null
+NfFF: 4
+PTO: 1
+Q0: 1.0
+QED: 0
+Qmb: 4.92
+Qmc: 1.51
+Qmt: 172.5
+Qref: 91.2
+SIN2TW: 0.23126
+TMC: 3
+alphaqed: 0.007496252
+alphas: 0.118
+kbThr: 1.0
+kcThr: 1.0
+ktThr: 1.0
+mb: 4.92
+mc: 1.51
+mt: 172.5
+nfref: 5
+nf0: 3
+n3lo_cf_variation: 0
+n3lo_ad_variation: [0,0,0,0,0,0,0]
diff --git a/nnpdf_data/nnpdf_data/theory_cards/20002007.yaml b/nnpdf_data/nnpdf_data/theory_cards/20002007.yaml
new file mode 100644
index 0000000000..b08ab4c242
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/theory_cards/20002007.yaml
@@ -0,0 +1,47 @@
+Comments: Polarised NNPDF2.0 NLO alphas=0.118 with nFONLL, XIF=2.0, XIR=1.0
+ID: 20_002_007
+XIF: 2.0
+XIR: 1.0
+CKM:
+- 0.97428
+- 0.2253
+- 0.00347
+- 0.2252
+- 0.97345
+- 0.041
+- 0.00862
+- 0.0403
+- 0.999152
+DAMP: 0
+FNS: FONLL-A
+GF: 1.1663787e-05
+HQ: POLE
+IC: 0
+MP: 0.938
+MW: 80.398
+MZ: 91.1876
+MaxNfPdf: 5
+ModEv: TRN
+ModSV: null
+NfFF: 4
+PTO: 1
+Q0: 1.0
+QED: 0
+Qmb: 4.92
+Qmc: 1.51
+Qmt: 172.5
+Qref: 91.2
+SIN2TW: 0.23126
+TMC: 3
+alphaqed: 0.007496252
+alphas: 0.118
+kbThr: 1.0
+kcThr: 1.0
+ktThr: 1.0
+mb: 4.92
+mc: 1.51
+mt: 172.5
+nfref: 5
+nf0: 3
+n3lo_cf_variation: 0
+n3lo_ad_variation: [0,0,0,0,0,0,0]
diff --git a/nnpdf_data/nnpdf_data/theory_cards/20002008.yaml b/nnpdf_data/nnpdf_data/theory_cards/20002008.yaml
new file mode 100644
index 0000000000..ff0fd8ae60
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/theory_cards/20002008.yaml
@@ -0,0 +1,47 @@
+Comments: Polarised NNPDF2.0 NLO alphas=0.118 with nFONLL, XIF=2.0, XIR=2.0
+ID: 20_002_008
+XIF: 2.0
+XIR: 2.0
+CKM:
+- 0.97428
+- 0.2253
+- 0.00347
+- 0.2252
+- 0.97345
+- 0.041
+- 0.00862
+- 0.0403
+- 0.999152
+DAMP: 0
+FNS: FONLL-A
+GF: 1.1663787e-05
+HQ: POLE
+IC: 0
+MP: 0.938
+MW: 80.398
+MZ: 91.1876
+MaxNfPdf: 5
+ModEv: TRN
+ModSV: null
+NfFF: 4
+PTO: 1
+Q0: 1.0
+QED: 0
+Qmb: 4.92
+Qmc: 1.51
+Qmt: 172.5
+Qref: 91.2
+SIN2TW: 0.23126
+TMC: 3
+alphaqed: 0.007496252
+alphas: 0.118
+kbThr: 1.0
+kcThr: 1.0
+ktThr: 1.0
+mb: 4.92
+mc: 1.51
+mt: 172.5
+nfref: 5
+nf0: 3
+n3lo_cf_variation: 0
+n3lo_ad_variation: [0,0,0,0,0,0,0]
diff --git a/validphys2/src/validphys/arclength.py b/validphys2/src/validphys/arclength.py
index 88169ae77b..48258f52d3 100644
--- a/validphys2/src/validphys/arclength.py
+++ b/validphys2/src/validphys/arclength.py
@@ -3,6 +3,7 @@
 
 Module for the computation and presentation of arclengths.
 """
+
 from collections import namedtuple
 from collections.abc import Sequence
 import numbers
@@ -78,7 +79,7 @@ def arc_lengths(
         # PDFs evaluated on grid, use the entire thing, the Stats class will chose later
         xfgrid = xplotting_grid(pdf, Q, ixgrid, basis, flavours).grid_values.data * ixgrid[1]
         fdiff = np.diff(xfgrid) / eps  # Compute forward differences
-        res += integrate.simps(np.sqrt(1 + np.square(fdiff)), ixgrid[1][1:])
+        res += integrate.simpson(np.sqrt(1 + np.square(fdiff)), x=ixgrid[1][1:])
     stats = pdf.stats_class(res)
     return ArcLengthGrid(pdf, basis, flavours, stats)
 
@@ -150,7 +151,7 @@ def integrability_number(
     basis: (str, Basis) = "evolution",
     flavours: (list, tuple, type(None)) = None,
 ):
-    """Return \sum_i |x_i*f(x_i)|, x_i = {1e-9, 1e-8, 1e-7}
+    r"""Return \sum_i |x_i*f(x_i)|, x_i = {1e-9, 1e-8, 1e-7}
     for selected flavours
     """
     checked = check_basis(basis, flavours)
diff --git a/validphys2/src/validphys/commondataparser.py b/validphys2/src/validphys/commondataparser.py
index 5d26d93900..3fb3d3f22d 100644
--- a/validphys2/src/validphys/commondataparser.py
+++ b/validphys2/src/validphys/commondataparser.py
@@ -109,6 +109,8 @@ def _quick_yaml_load(filepath):
     "JET": ("$\\eta$", "$p_T^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"),
     "PHT": ("$\\eta_\\gamma$", "$E_{T,\\gamma}^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"),
     "SIA": ("$z$", "$Q^2 (GeV^2)$", "$y$"),
+    "JET_POL": ("$\\eta$", "$p_T^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"),
+    "DIJET_POL": ("$\\m_{1,2} (GeV)", "$\\eta_1$", "$\\eta_2$"),
 }
 
 PROCESS_DESCRIPTION_LABEL = {
@@ -133,6 +135,8 @@ def _quick_yaml_load(filepath):
     "EWK_MLL": "Drell-Yan Mass Distribution",
     "DIJET": "Dijets Invariant Mass and Rapidity Distribution",
     "DYP": "Fixed-Target Drell-Yan",
+    "JET_POL": "Inclusive Jet longitudinal double-spin asymmetry",
+    "DIJET_POL": "Dijets longitudinal double-spin asymmetry",
 }
 
 
diff --git a/validphys2/src/validphys/filters.py b/validphys2/src/validphys/filters.py
index 130047385e..5a9a73e470 100644
--- a/validphys2/src/validphys/filters.py
+++ b/validphys2/src/validphys/filters.py
@@ -45,6 +45,8 @@
     "HQP_PTQ": ("p_TQ", "mu2", "sqrts"),
     "HIG_RAP": ("y", "M_H2", "sqrts"),
     "SIA": ("z", "Q2", "y"),
+    "JET_POL": ("eta", "pT2", "sqrts"),
+    "DIJET_POL": ("m_12", "eta_1", "eta_2"),
 }
 
 
diff --git a/validphys2/src/validphys/process_options.py b/validphys2/src/validphys/process_options.py
index 059ddcd28e..26bbe6875a 100644
--- a/validphys2/src/validphys/process_options.py
+++ b/validphys2/src/validphys/process_options.py
@@ -5,7 +5,7 @@
 """
 
 import dataclasses
-from typing import Callable, Optional, Tuple, Union
+from typing import Callable, Optional, Union
 
 import numpy as np
 from validobj.custom import Parser
@@ -29,8 +29,13 @@ class _Vars:
     pT_t = "pT_t"
     m_ttBar = "m_ttBar"
     eta = "eta"
+    abs_eta = "abs_eta"
     m_W2 = "m_W2"
     m_Z2 = "m_Z2"
+    abs_eta_1 = "abs_eta_1"
+    abs_eta_2 = "abs_eta_2"
+    eta_1 = "eta_1"
+    eta_2 = "eta_2"
 
 
 class _KinematicsInformation:
@@ -71,7 +76,7 @@ def __getitem__(self, key):
 class _Process:
     name: str
     description: str
-    accepted_variables: Tuple[str]
+    accepted_variables: tuple[str]
     xq2map_function: Optional[Callable] = None
 
     def __hash__(self):
@@ -180,7 +185,7 @@ def _hqp_ptq_xq2map(kin_info):
 def _hqp_mqq_xq2map(kin_info):
     # Compute x, Q2
     #
-    # Theory predictions computed with HT/4 ~ m_ttbar/4 
+    # Theory predictions computed with HT/4 ~ m_ttbar/4
     Q = kin_info[_Vars.m_ttBar] / 4
     return Q / kin_info[_Vars.sqrts], Q * Q
 
@@ -206,7 +211,6 @@ def _displusjet_xq2map(kin_info):
     return x, q2
 
 
-
 def _dyboson_xq2map(kin_info):
     """
     Computes x and q2 mapping for pseudo rapidity observables
@@ -251,15 +255,36 @@ def _dybosonpt_xq2map(kin_dict):
 
 DIJET = _Process(
     "DIJET",
-    "DiJets Production",
+    "DiJets production",
     accepted_variables=(_Vars.ystar, _Vars.m_jj, _Vars.sqrts, _Vars.ydiff),
     xq2map_function=_dijets_xq2map,
 )
 
+JET_POL = _Process(
+    "JET_POL",
+    "Longitudinal double-spin asymmetry in inclusive jet production",
+    accepted_variables=(_Vars.eta, _Vars.pT, _Vars.sqrts, _Vars.abs_eta),
+    xq2map_function=_jets_xq2map,
+)
+
+DIJET_POL = _Process(
+    "DIJET_POL",
+    "Longitudinal double-spin asymmetry in dijets production",
+    accepted_variables=(_Vars.m_jj, _Vars.sqrts, _Vars.abs_eta_2, _Vars.abs_eta_1, _Vars.eta_1, _Vars.eta_2),
+    xq2map_function=_dijets_xq2map,
+)
+
 HQP_YQ = _Process(
     "HQP_YQ",
     "(absolute) rapidity of top quark in top pair production",
-    accepted_variables=(_Vars.y_t, _Vars.y_ttBar, _Vars.m_t2, _Vars.sqrts, _Vars.m_ttBar, _Vars.pT_t),
+    accepted_variables=(
+        _Vars.y_t,
+        _Vars.y_ttBar,
+        _Vars.m_t2,
+        _Vars.sqrts,
+        _Vars.m_ttBar,
+        _Vars.pT_t,
+    ),
     xq2map_function=_hqp_yq_xq2map,
 )
 
@@ -310,7 +335,9 @@ def _dybosonpt_xq2map(kin_dict):
 
 POS_XPDF = _Process("POS_XPDF", "Positivity of MS bar PDFs", accepted_variables=(_Vars.x, _Vars.Q2))
 
-POS_F2 = _Process("POS_F2", "Positivity of F2 structure functions", accepted_variables=(_Vars.x, _Vars.Q2))
+POS_DIS = _Process(
+    "POS_DIS", "Positivity of F2 structure functions", accepted_variables=(_Vars.x, _Vars.Q2)
+)
 
 PROCESSES = {
     "DIS": DIS,
@@ -327,11 +354,15 @@ def _dybosonpt_xq2map(kin_dict):
     "INC": INC,
     "HERAJET": HERAJET,
     "HERADIJET": dataclasses.replace(HERAJET, name="HERADIJET", description="DIS + jj production"),
+    "JET_POL": JET_POL,
+    "DIJET_POL": DIJET_POL,
     "DY_Z_Y": dataclasses.replace(DY_2L, name="DY_Z_Y", description="DY Z -> ll (pseudo)rapidity"),
-    "DY_W_ETA": dataclasses.replace(DY_2L, name="DY_W_ETA", description="DY W -> l nu (pseudo)rapidity"),
+    "DY_W_ETA": dataclasses.replace(
+        DY_2L, name="DY_W_ETA", description="DY W -> l nu (pseudo)rapidity"
+    ),
     "DY_NC_PT": dataclasses.replace(DY_PT, name="DY_NC_PT", description="DY Z (ll) + j"),
     "POS_XPDF": POS_XPDF,
-    "POS_F2": POS_F2,
+    "POS_DIS": POS_DIS,
 }
 
 
diff --git a/validphys2/src/validphys/scalevariations/pointprescriptions.yaml b/validphys2/src/validphys/scalevariations/pointprescriptions.yaml
index d76d2ca400..2d861c3d1e 100644
--- a/validphys2/src/validphys/scalevariations/pointprescriptions.yaml
+++ b/validphys2/src/validphys/scalevariations/pointprescriptions.yaml
@@ -15,13 +15,15 @@
 'n3lo ihou': ['(0, 0, 0, 0)','(1, 0, 0, 0)','(2, 0, 0, 0)','(3, 0, 0, 0)','(4, 0, 0, 0)','(5, 0, 0, 0)','(6, 0, 0, 0)','(7, 0, 0, 0)','(8, 0, 0, 0)','(9, 0, 0, 0)','(10, 0, 0, 0)','(11, 0, 0, 0)','(12, 0, 0, 0)','(13, 0, 0, 0)','(14, 0, 0, 0)','(15, 0, 0, 0)','(16, 0, 0, 0)','(17, 0, 0, 0)','(18, 0, 0, 0)','(19, 0, 0, 0)','(0, 1, 0, 0)','(0, 2, 0, 0)','(0, 3, 0, 0)','(0, 4, 0, 0)','(0, 5, 0, 0)','(0, 6, 0, 0)','(0, 7, 0, 0)','(0, 8, 0, 0)','(0, 9, 0, 0)','(0, 10, 0, 0)','(0, 11, 0, 0)','(0, 12, 0, 0)','(0, 13, 0, 0)','(0, 14, 0, 0)','(0, 15, 0, 0)','(0, 16, 0, 0)','(0, 17, 0, 0)','(0, 18, 0, 0)','(0, 19, 0, 0)','(0, 20, 0, 0)','(0, 21, 0, 0)','(0, 0, 1, 0)','(0, 0, 2, 0)','(0, 0, 3, 0)','(0, 0, 4, 0)','(0, 0, 5, 0)','(0, 0, 6, 0)','(0, 0, 7, 0)','(0, 0, 8, 0)','(0, 0, 9, 0)','(0, 0, 10, 0)','(0, 0, 11, 0)','(0, 0, 12, 0)','(0, 0, 13, 0)','(0, 0, 14, 0)','(0, 0, 15, 0)','(0, 0, 0, 1)','(0, 0, 0, 2)','(0, 0, 0, 3)','(0, 0, 0, 4)','(0, 0, 0, 5)','(0, 0, 0, 6)','(-1, -1)','(1, 1)']
 # N3LO full IHOU + 7 point scale variations
 'n3lo full thcovmat': ['(0, 0, 0, 0)','(1, 0, 0, 0)','(2, 0, 0, 0)','(3, 0, 0, 0)','(4, 0, 0, 0)','(5, 0, 0, 0)','(6, 0, 0, 0)','(7, 0, 0, 0)','(8, 0, 0, 0)','(9, 0, 0, 0)','(10, 0, 0, 0)','(11, 0, 0, 0)','(12, 0, 0, 0)','(13, 0, 0, 0)','(14, 0, 0, 0)','(15, 0, 0, 0)','(16, 0, 0, 0)','(17, 0, 0, 0)','(18, 0, 0, 0)','(19, 0, 0, 0)','(0, 1, 0, 0)','(0, 2, 0, 0)','(0, 3, 0, 0)','(0, 4, 0, 0)','(0, 5, 0, 0)','(0, 6, 0, 0)','(0, 7, 0, 0)','(0, 8, 0, 0)','(0, 9, 0, 0)','(0, 10, 0, 0)','(0, 11, 0, 0)','(0, 12, 0, 0)','(0, 13, 0, 0)','(0, 14, 0, 0)','(0, 15, 0, 0)','(0, 16, 0, 0)','(0, 17, 0, 0)','(0, 18, 0, 0)','(0, 19, 0, 0)','(0, 20, 0, 0)','(0, 21, 0, 0)','(0, 0, 1, 0)','(0, 0, 2, 0)','(0, 0, 3, 0)','(0, 0, 4, 0)','(0, 0, 5, 0)','(0, 0, 6, 0)','(0, 0, 7, 0)','(0, 0, 8, 0)','(0, 0, 9, 0)','(0, 0, 10, 0)','(0, 0, 11, 0)','(0, 0, 12, 0)','(0, 0, 13, 0)','(0, 0, 14, 0)','(0, 0, 15, 0)','(0, 0, 0, 1)','(0, 0, 0, 2)','(0, 0, 0, 3)','(0, 0, 0, 4)','(0, 0, 0, 5)','(0, 0, 0, 6)','(2, 1)', '(0.5, 1)', '(1, 2)', '(1, 0.5)', '(2, 2)', '(0.5, 0.5)','(-1, -1)','(1, 1)']
-# N3LO full IHOU + 3 point scale variations for datasets with no N3LO correcttions
+# N3LO full IHOU + 3 point scale variations for datasets with no N3LO corrections
 'n3lo 3pt missing': ['(0, 0, 0, 0)','(1, 0, 0, 0)','(2, 0, 0, 0)','(3, 0, 0, 0)','(4, 0, 0, 0)','(5, 0, 0, 0)','(6, 0, 0, 0)','(7, 0, 0, 0)','(8, 0, 0, 0)','(9, 0, 0, 0)','(10, 0, 0, 0)','(11, 0, 0, 0)','(12, 0, 0, 0)','(13, 0, 0, 0)','(14, 0, 0, 0)','(15, 0, 0, 0)','(16, 0, 0, 0)','(17, 0, 0, 0)','(18, 0, 0, 0)','(19, 0, 0, 0)','(0, 1, 0, 0)','(0, 2, 0, 0)','(0, 3, 0, 0)','(0, 4, 0, 0)','(0, 5, 0, 0)','(0, 6, 0, 0)','(0, 7, 0, 0)','(0, 8, 0, 0)','(0, 9, 0, 0)','(0, 10, 0, 0)','(0, 11, 0, 0)','(0, 12, 0, 0)','(0, 13, 0, 0)','(0, 14, 0, 0)','(0, 15, 0, 0)','(0, 16, 0, 0)','(0, 17, 0, 0)','(0, 18, 0, 0)','(0, 19, 0, 0)','(0, 20, 0, 0)','(0, 21, 0, 0)','(0, 0, 1, 0)','(0, 0, 2, 0)','(0, 0, 3, 0)','(0, 0, 4, 0)','(0, 0, 5, 0)','(0, 0, 6, 0)','(0, 0, 7, 0)','(0, 0, 8, 0)','(0, 0, 9, 0)','(0, 0, 10, 0)','(0, 0, 11, 0)','(0, 0, 12, 0)','(0, 0, 13, 0)','(0, 0, 14, 0)','(0, 0, 15, 0)','(0, 0, 0, 1)','(0, 0, 0, 2)','(0, 0, 0, 3)','(0, 0, 0, 4)','(0, 0, 0, 5)','(0, 0, 0, 6)', '(1, 0.5 missing)', '(1, 2 missing)','(-1, -1)','(1, 1)']
-# N3LO full IHOU + 3 point scale variations for hadronic dasasets
+# N3LO full IHOU + 3 point scale variations for hadronic datasets
 'n3lo 3pt hadronic': ['(0, 0, 0, 0)','(1, 0, 0, 0)','(2, 0, 0, 0)','(3, 0, 0, 0)','(4, 0, 0, 0)','(5, 0, 0, 0)','(6, 0, 0, 0)','(7, 0, 0, 0)','(8, 0, 0, 0)','(9, 0, 0, 0)','(10, 0, 0, 0)','(11, 0, 0, 0)','(12, 0, 0, 0)','(13, 0, 0, 0)','(14, 0, 0, 0)','(15, 0, 0, 0)','(16, 0, 0, 0)','(17, 0, 0, 0)','(18, 0, 0, 0)','(19, 0, 0, 0)','(0, 1, 0, 0)','(0, 2, 0, 0)','(0, 3, 0, 0)','(0, 4, 0, 0)','(0, 5, 0, 0)','(0, 6, 0, 0)','(0, 7, 0, 0)','(0, 8, 0, 0)','(0, 9, 0, 0)','(0, 10, 0, 0)','(0, 11, 0, 0)','(0, 12, 0, 0)','(0, 13, 0, 0)','(0, 14, 0, 0)','(0, 15, 0, 0)','(0, 16, 0, 0)','(0, 17, 0, 0)','(0, 18, 0, 0)','(0, 19, 0, 0)','(0, 20, 0, 0)','(0, 21, 0, 0)','(0, 0, 1, 0)','(0, 0, 2, 0)','(0, 0, 3, 0)','(0, 0, 4, 0)','(0, 0, 5, 0)','(0, 0, 6, 0)','(0, 0, 7, 0)','(0, 0, 8, 0)','(0, 0, 9, 0)','(0, 0, 10, 0)','(0, 0, 11, 0)','(0, 0, 12, 0)','(0, 0, 13, 0)','(0, 0, 14, 0)','(0, 0, 15, 0)','(0, 0, 0, 1)','(0, 0, 0, 2)','(0, 0, 0, 3)','(0, 0, 0, 4)','(0, 0, 0, 5)','(0, 0, 0, 6)', '(1, 0.5 hadronic)', '(1, 2 hadronic)','(-1, -1)','(1, 1)']
 # N3LO 7 point scale variations
 'n3lo 7 point': ['(0, 0, 0, 0)', '(2, 1)', '(0.5, 1)', '(1, 2)', '(1, 0.5)', '(2, 2)', '(0.5, 0.5)']
 # N3LO full IHOU + 7 point scale variations with FHMV splittings
 'n3lo fhmv full thcovmat': ['(0, 0, 0, 0, 0, 0, 0)','(1, 0, 0, 0, 0, 0, 0)','(2, 0, 0, 0, 0, 0, 0)','(0, 1, 0, 0, 0, 0, 0)','(0, 2, 0, 0, 0, 0, 0)', '(0, 0, 1, 0, 0, 0, 0)','(0, 0, 2, 0, 0, 0, 0)','(0, 0, 0, 1, 0, 0, 0)','(0, 0, 0, 2, 0, 0, 0)','(0, 0, 0, 0, 1, 0, 0)','(0, 0, 0, 0, 2, 0, 0)','(0, 0, 0, 0, 0, 1, 0)','(0, 0, 0, 0, 0, 2, 0)','(0, 0, 0, 0, 0, 0, 1)','(0, 0, 0, 0, 0, 0, 2)','(2, 1)', '(0.5, 1)', '(1, 2)', '(1, 0.5)', '(2, 2)', '(0.5, 0.5)','(-1, -1)','(1, 1)']
-# N3LO full IHOU + 3 point scale variations for hadronic dasasets with FHMV splittings
+# N3LO full IHOU + 3 point scale variations for hadronic datasets with FHMV splittings
 'n3lo fhmv 3pt hadronic': ['(0, 0, 0, 0, 0, 0, 0)','(1, 0, 0, 0, 0, 0, 0)','(2, 0, 0, 0, 0, 0, 0)','(0, 1, 0, 0, 0, 0, 0)','(0, 2, 0, 0, 0, 0, 0)', '(0, 0, 1, 0, 0, 0, 0)','(0, 0, 2, 0, 0, 0, 0)','(0, 0, 0, 1, 0, 0, 0)','(0, 0, 0, 2, 0, 0, 0)','(0, 0, 0, 0, 1, 0, 0)','(0, 0, 0, 0, 2, 0, 0)','(0, 0, 0, 0, 0, 1, 0)','(0, 0, 0, 0, 0, 2, 0)','(0, 0, 0, 0, 0, 0, 1)','(0, 0, 0, 0, 0, 0, 2)','(1, 0.5 hadronic)', '(1, 2 hadronic)','(-1, -1)','(1, 1)']
+# Polarized missing: 3 point renormalization scales for JETS and DIJETS
+'3pt missing': ['(1, 1)', '(1, 0.5 missing)', '(1, 2 missing)']
diff --git a/validphys2/src/validphys/scalevariations/scalevariationtheoryids.yaml b/validphys2/src/validphys/scalevariations/scalevariationtheoryids.yaml
index 98031c3498..75217d611d 100644
--- a/validphys2/src/validphys/scalevariations/scalevariationtheoryids.yaml
+++ b/validphys2/src/validphys/scalevariations/scalevariationtheoryids.yaml
@@ -260,4 +260,32 @@ scale_variations_for:
       (1, 1): 1024
       # IHOU + MHOU missing prescription
       (1, 0.5 hadronic): 1025 # As 1018 but DIS from 1000
-      (1, 2 hadronic): 1026 # As 1021 but DIS from 1000
\ No newline at end of file
+      (1, 2 hadronic): 1026 # As 1021 but DIS from 1000
+
+  # NNLO polarized SV
+  - theoryid: 20_000_000
+    variations:
+      (0.5, 0.5): 20_001_001
+      (0.5, 1): 20_001_002
+      (0.5, 2): 20_001_003
+      (1, 0.5): 20_001_004
+      (1, 1): 20_000_000
+      (1, 2): 20_001_005
+      (2, 0.5): 20_001_006
+      (2, 1): 20_001_007
+      (2, 2): 20_001_008
+      (1, 0.5 missing): 20_001_009  # As 20_001_004 but DIS and DY from 20_000_000
+      (1, 2 missing): 20_001_010 # As 20_001_005 but DIS and DY from 20_000_000
+
+  # NLO polarized SV
+  - theoryid: 20_000_001
+    variations:
+      (0.5, 0.5): 20_002_001
+      (0.5, 1): 20_002_002
+      (0.5, 2): 20_002_003
+      (1, 0.5): 20_002_004
+      (1, 1): 20_000_001
+      (1, 2): 20_002_005
+      (2, 0.5): 20_002_006
+      (2, 1): 20_002_007
+      (2, 2): 20_002_008