diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/data.yaml
new file mode 100644
index 0000000000..37eadd5649
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/data.yaml
@@ -0,0 +1,8 @@
+data_central:
+- 353.152
+- 345.985
+- 336.195
+- 322.483
+- 303.973
+- 273.198
+- 173.171
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/filter.py
new file mode 100644
index 0000000000..17f2c7c44a
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/filter.py
@@ -0,0 +1,91 @@
+
+import yaml
+import numpy as np
+
+from filter_utils import get_kinematics, get_data_values, get_systematics
+
+
+def filter_ATLAS_Z0_8TEV_data_kinetic():
+    """
+    writes data central values and kinematics
+    to respective .yaml file
+    """
+    kin = get_kinematics()
+    central_values = get_data_values()
+
+    data_central_yaml = {"data_central": central_values}
+    kinematics_yaml = {"bins": kin}
+
+    # write central values and kinematics to yaml file
+    with open("data.yaml", "w") as file:
+        yaml.dump(data_central_yaml, file, sort_keys=False)
+
+    with open("kinematics.yaml", "w") as file:
+        yaml.dump(kinematics_yaml, file, sort_keys=False)
+
+
+def filter_ATLAS_Z0_8TEV_uncertainties():
+    """
+    writes uncertainties to respective .yaml file
+    """
+    systematics = get_systematics()
+
+    # load correlation matrix from .txt file
+    corr_matrix = np.loadtxt("rawdata/zy.txt")
+
+    # generate covariance matrix from correlation matrix
+    tot_systematics = np.array([syst[0]['value'] for syst in systematics['tot']])
+
+    # TODO: this should be done with utils.correlation_to_covariance once that is merged in master
+    cov_matrix_no_lumi = np.outer(tot_systematics, tot_systematics) * corr_matrix
+
+    # add lumi uncertainty
+    lumi_unc = np.array([syst[0]['value'] for syst in systematics['lumi']])
+    lumi_cov = lumi_unc[:, None] @ lumi_unc[:, None].T
+
+    # add covariances
+    cov_matrix = cov_matrix_no_lumi + lumi_cov
+
+    # compute decomposition of covariance matrix so as to get artificial systematics
+    # TODO: use utils once merged in master
+    lamb, mat = np.linalg.eig(cov_matrix)
+    art_sys = np.multiply(np.sqrt(lamb), mat)
+
+    uncertainties = []
+
+    for i, unc in enumerate(art_sys.T):
+
+        name = f"artificial_uncertainty_{i+1}"
+        values = [unc[i] for i in range(len(unc))]
+        uncertainties.append([{"name": name, "values": values}])
+
+    # error definition
+    error_definitions = {}
+    errors = []
+
+    for sys in uncertainties:
+        
+        error_definitions[sys[0]['name']] = {
+            "description": f"{sys[0]['name']}",
+            "treatment": "ADD",
+            "type": "CORR",
+        }
+
+    for i in range(cov_matrix.shape[0]):
+        error_value = {}
+
+        for sys in uncertainties:
+            error_value[sys[0]['name']] = float(sys[0]['values'][i])
+
+        errors.append(error_value)
+
+    uncertainties_yaml = {"definitions": error_definitions, "bins": errors}
+
+    # write uncertainties
+    with open(f"uncertainties.yaml", 'w') as file:
+        yaml.dump(uncertainties_yaml, file, sort_keys=False)
+
+
+if __name__ == "__main__":
+    filter_ATLAS_Z0_8TEV_data_kinetic()
+    filter_ATLAS_Z0_8TEV_uncertainties()
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/filter_utils.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/filter_utils.py
new file mode 100644
index 0000000000..726b72d0e2
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/filter_utils.py
@@ -0,0 +1,108 @@
+import yaml
+
+
+def get_kinematics():
+    """
+    returns the relevant kinematics values.
+    Parameters
+    ----------
+    table : list
+    version : int
+            integer read from metadata.yaml that
+            indicated the version of the hepdata
+            tables
+    Returns
+    -------
+    list
+        list containing the kinematic values for all
+        hepdata tables
+    """
+    kin = []
+
+    hepdata_table = f"rawdata/HEPData-ins2698794-v1-Table_9.yaml"
+
+    with open(hepdata_table, 'r') as file:
+        input = yaml.safe_load(file)
+
+    for yll in input["independent_variables"][0]['values']:
+        kin_value = {
+            'y': {
+                'min': yll['low'],
+                'mid': 0.5 * (yll['low'] + yll['high']),
+                'max': yll['high'],
+            },
+            'm_Z2': {'min': None, 'mid': 8317.44, 'max': None},
+            'sqrts': {'min': None, 'mid': 8000.0, 'max': None},
+        }
+
+        kin.append(kin_value)
+
+    return kin
+
+
+def get_data_values():
+    """
+    returns the central data.
+    Parameters
+    ----------
+    tables : list
+            list that enumerates the table number
+    version : int
+            integer read from metadata.yaml that
+            indicated the version of the hepdata
+            tables
+    Returns
+    -------
+    list
+        list containing the central values for all
+        hepdata tables
+    """
+
+    data_central = []
+
+    hepdata_table = f"rawdata/HEPData-ins2698794-v1-Table_9.yaml"
+
+    with open(hepdata_table, 'r') as file:
+        input = yaml.safe_load(file)
+
+    values = input['dependent_variables'][0]['values']
+
+    for value in values:
+        data_central.append(value['value'])
+
+    return data_central
+
+
+def get_systematics():
+    """ """
+    tot_uncertainties = []
+    lumi_uncertainties = []
+
+    hepdata_table = f"rawdata/HEPData-ins2698794-v1-Table_9.yaml"
+
+    with open(hepdata_table, 'r') as file:
+        input = yaml.safe_load(file)
+
+    dependent_vars = input['dependent_variables'][0]
+
+    # skip 1st entry as these are central data values
+    for err_values in dependent_vars['values']:
+
+        tot_uncertainties.append(
+            [
+                {
+                    "name": err_values['errors'][0]['label'],
+                    "value": err_values['errors'][0]['symerror'],
+                }
+            ]
+        )
+        lumi_uncertainties.append(
+            [
+                {
+                    "name": err_values['errors'][1]['label'],
+                    "value": err_values['errors'][1]['symerror'],
+                }
+            ]
+        )
+
+    return {'tot': tot_uncertainties, 'lumi': lumi_uncertainties}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/kinematics.yaml
new file mode 100644
index 0000000000..2fc461bc35
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/kinematics.yaml
@@ -0,0 +1,85 @@
+bins:
+- y:
+    min: 0.4
+    mid: 0.6000000000000001
+    max: 0.8
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
+- y:
+    min: 0.8
+    mid: 1.0
+    max: 1.2
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
+- y:
+    min: 1.2
+    mid: 1.4
+    max: 1.6
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
+- y:
+    min: 1.6
+    mid: 1.8
+    max: 2
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
+- y:
+    min: 2
+    mid: 2.2
+    max: 2.4
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
+- y:
+    min: 2.4
+    mid: 2.5999999999999996
+    max: 2.8
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
+- y:
+    min: 2.8
+    mid: 3.2
+    max: 3.6
+  m_Z2:
+    min: null
+    mid: 8317.44
+    max: null
+  sqrts:
+    min: null
+    mid: 8000.0
+    max: null
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/metadata.yaml
new file mode 100644
index 0000000000..334c859db3
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/metadata.yaml
@@ -0,0 +1,59 @@
+# Generalia
+setname: "ATLAS_Z0_8TEV_ZMASS"
+
+version: 1
+
+version_comment: "Initial implementation"
+
+# References
+arXiv:
+  url: "https://arxiv.org/pdf/2309.09318"
+iNSPIRE:
+  url: "https://inspirehep.net/literature/2698794"
+hepdata:
+  url: "https://www.hepdata.net/record/149333"
+  version: 1
+
+nnpdf_metadata:
+  nnpdf31_process: "DY NC"
+  experiment: "ATLAS"
+
+
+implemented_observables:
+
+  - observable_name: "LL"
+    observable: 
+      description: "ATLAS 8 TeV, Z boson rapidity distribution in full phase space of decay leptons"
+      label: r"$d\\sigma/d|\|y_{ll}||$"
+      units: "[pb]"
+
+    ndata: 7
+
+    tables: [9]
+    process_type: DY_Z_Y
+
+    plotting:
+      dataset_label: 'ATLAS 8 TeV $Z \to l^+ l^-$, absolute rapidity'
+      kinematics_override: identity
+      x_scale: linear
+      plot_x: y
+    
+    kinematic_coverage: [y, m_Z2, sqrts]
+
+    kinematics:
+      variables:
+        y: {description: "Z > l+ l- absolute rapidity", label: '$|y_{ll}|$', units: ""}
+        m_Z2: {description: "Z boson mass squared", label: '$M_Z^2$', units: "GeV"}
+        sqrts: {description: "center of mass energy", label: '$\sqrt(s)$', units: "GeV"}
+      file: kinematics.yaml
+
+    # Data 
+    data_central: data.yaml
+    data_uncertainties:
+      - uncertainties.yaml
+
+    # Theory
+    theory:
+      FK_tables:
+        - - ATLAS_Z0_8TEV_ZMASS
+      operation: 'null'
\ No newline at end of file
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/rawdata/HEPData-ins2698794-v1-Table_9.yaml b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/rawdata/HEPData-ins2698794-v1-Table_9.yaml
new file mode 100644
index 0000000000..7e125d0135
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/rawdata/HEPData-ins2698794-v1-Table_9.yaml
@@ -0,0 +1,71 @@
+independent_variables:
+ - header: {name: '$|y|^{\ell\ell}$'}
+   values:
+    - {high: 0.8, low: 0.4}
+    - {high: 1.2, low: 0.8}
+    - {high: 1.6, low: 1.2}
+    - {high: 2, low: 1.6}
+    - {high: 2.4, low: 2}
+    - {high: 2.8, low: 2.4}
+    - {high: 3.6, low: 2.8}
+dependent_variables:
+ - header: {name: '$d\sigma/d|y|^{\ell\ell}$ $\pm$ Total $\pm$ Luminosity', units: pb}
+   values:
+     - value: 353.152
+       errors:
+         - {symerror: 0.612877, label: tot}
+         - {symerror: 6.35674, label: lumi}
+     - value: 345.985
+       errors:
+         - {symerror: 0.614565, label: tot}
+         - {symerror: 6.22773, label: lumi}
+     - value: 336.195
+       errors:
+         - {symerror: 0.631117, label: tot}
+         - {symerror: 6.05151, label: lumi}
+     - value: 322.483
+       errors:
+         - {symerror: 0.867255, label: tot}
+         - {symerror: 5.80469, label: lumi}
+     - value: 303.973
+       errors:
+         - {symerror: 1.2225, label: tot}
+         - {symerror: 5.47151, label: lumi}
+     - value: 273.198
+       errors:
+         - {symerror: 1.47795, label: tot}
+         - {symerror: 4.91756, label: lumi}
+     - value: 173.171
+       errors:
+         - {symerror: 1.44884, label: tot}
+         - {symerror: 3.11708, label: lumi}
+ - header: {name: 'N$^3$LO $\pm$ PDF $\pm$ scale var.', units: pb}
+   values:
+     - value: 343.835
+       errors:
+         - {symerror: 5.0845, label: pdf}
+         - {symerror: 1.48899, label: scale}
+     - value: 337.198
+       errors:
+         - {symerror: 4.9785, label: pdf}
+         - {symerror: 1.5366, label: scale}
+     - value: 327.154
+       errors:
+         - {symerror: 4.8728, label: pdf}
+         - {symerror: 1.50239, label: scale}
+     - value: 312.773
+       errors:
+         - {symerror: 4.6646, label: pdf}
+         - {symerror: 1.4265, label: scale}
+     - value: 292.641
+       errors:
+         - {symerror: 4.3853, label: pdf}
+         - {symerror: 1.43681, label: scale}
+     - value: 260.733
+       errors:
+         - {symerror: 4.0832, label: pdf}
+         - {symerror: 1.44803, label: scale}
+     - value: 168.482
+       errors:
+         - {symerror: 3.1625, label: pdf}
+         - {symerror: 1.54132, label: scale}
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/rawdata/zy.txt b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/rawdata/zy.txt
new file mode 100644
index 0000000000..4fe1bc9d51
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/rawdata/zy.txt
@@ -0,0 +1,7 @@
+1.000000000000  0.771441698074  0.698377430439  0.470446109772  0.235730156302  0.135500997305  0.023962540552
+0.771441698074  1.000000000000  0.728683710098  0.490636169910  0.257601708174  0.143674910069  0.023399809375
+0.698377430439  0.728683710098  1.000000000000  0.524034738541  0.272780925035  0.151878938079  0.033453177661
+0.470446109772  0.490636169910  0.524034738541  0.999999940395  0.463345497847  0.285900026560  0.101109012961
+0.235730156302  0.257601708174  0.272780925035  0.463345497847  1.000000000000  0.564261615276  0.305788159370
+0.135500997305  0.143674910069  0.151878938079  0.285900026560  0.564261615276  1.000000119209  0.455123543739
+0.023962540552  0.023399809375  0.033453177661  0.101109012961  0.305788159370  0.455123543739  1.000000000000
diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/uncertainties.yaml
new file mode 100644
index 0000000000..31706ee588
--- /dev/null
+++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_Z0_8TEV_ZMASS/uncertainties.yaml
@@ -0,0 +1,79 @@
+definitions:
+  artificial_uncertainty_1:
+    description: artificial_uncertainty_1
+    treatment: ADD
+    type: CORR
+  artificial_uncertainty_2:
+    description: artificial_uncertainty_2
+    treatment: ADD
+    type: CORR
+  artificial_uncertainty_3:
+    description: artificial_uncertainty_3
+    treatment: ADD
+    type: CORR
+  artificial_uncertainty_4:
+    description: artificial_uncertainty_4
+    treatment: ADD
+    type: CORR
+  artificial_uncertainty_5:
+    description: artificial_uncertainty_5
+    treatment: ADD
+    type: CORR
+  artificial_uncertainty_6:
+    description: artificial_uncertainty_6
+    treatment: ADD
+    type: CORR
+  artificial_uncertainty_7:
+    description: artificial_uncertainty_7
+    treatment: ADD
+    type: CORR
+bins:
+- artificial_uncertainty_1: 6.360849092233548
+  artificial_uncertainty_2: -0.43736014852425575
+  artificial_uncertainty_3: -0.17081282174067292
+  artificial_uncertainty_4: 0.1343303399845492
+  artificial_uncertainty_5: 0.1506396770871814
+  artificial_uncertainty_6: 0.17839551357478534
+  artificial_uncertainty_7: -0.17417703394997616
+- artificial_uncertainty_1: 6.233875520247695
+  artificial_uncertainty_2: -0.42939370572372393
+  artificial_uncertainty_3: -0.1581186015151157
+  artificial_uncertainty_4: 0.12091345356933662
+  artificial_uncertainty_5: 0.140047777147049
+  artificial_uncertainty_6: -0.22584792937770715
+  artificial_uncertainty_7: -0.08053516734437347
+- artificial_uncertainty_1: 6.060113000362857
+  artificial_uncertainty_2: -0.4123698461117033
+  artificial_uncertainty_3: -0.14680060602839212
+  artificial_uncertainty_4: 0.10112405423267312
+  artificial_uncertainty_5: 0.0894931999659005
+  artificial_uncertainty_6: 0.04486740555676256
+  artificial_uncertainty_7: 0.28681853399599
+- artificial_uncertainty_1: 5.836824335315856
+  artificial_uncertainty_2: -0.27502106473581056
+  artificial_uncertainty_3: 0.03159277272608425
+  artificial_uncertainty_4: -0.12119507917842083
+  artificial_uncertainty_5: -0.5349848732266431
+  artificial_uncertainty_6: -0.0007764604112265232
+  artificial_uncertainty_7: -0.02250579775755823
+- artificial_uncertainty_1: 5.539243636415269
+  artificial_uncertainty_2: 0.31344828703761407
+  artificial_uncertainty_3: 0.4545302042514127
+  artificial_uncertainty_4: -0.6463383504190422
+  artificial_uncertainty_5: 0.16156289938315516
+  artificial_uncertainty_6: 0.0018754281204069558
+  artificial_uncertainty_7: -0.0009901510871859873
+- artificial_uncertainty_1: 5.00099551940249
+  artificial_uncertainty_2: 0.9002405764173007
+  artificial_uncertainty_3: 0.5616642244049272
+  artificial_uncertainty_4: 0.48016500342015245
+  artificial_uncertainty_5: -0.017766174135644974
+  artificial_uncertainty_6: -0.00035256711006794806
+  artificial_uncertainty_7: 0.0016258067952645042
+- artificial_uncertainty_1: 3.1715884625027186
+  artificial_uncertainty_2: 1.0482636206034448
+  artificial_uncertainty_3: -0.8037615168161861
+  artificial_uncertainty_4: -0.1055372371812821
+  artificial_uncertainty_5: -0.017988003826124054
+  artificial_uncertainty_6: -0.000893499833004754
+  artificial_uncertainty_7: 0.0001651328837651984