diff --git a/liiatools/common/constants.py b/liiatools/common/constants.py
index 2c5b52e..2747981 100644
--- a/liiatools/common/constants.py
+++ b/liiatools/common/constants.py
@@ -9,7 +9,7 @@ class ProcessNames(StrEnum):
 
     SESSIONS_FOLDER = "sessions"
     ARCHIVE_FOLDER = "archive"
-    CURRENT_FOLDER = "cur"
+    CURRENT_FOLDER = "c"
     EXPORT_FOLDER = "exp"
 
 
diff --git a/liiatools/school_census_pipeline/pipeline.py b/liiatools/school_census_pipeline/pipeline.py
index 58bc1eb..5482c66 100644
--- a/liiatools/school_census_pipeline/pipeline.py
+++ b/liiatools/school_census_pipeline/pipeline.py
@@ -112,45 +112,45 @@ def process_session(source_fs: FS, output_fs: FS, la_code: str, filename: str):
     pipeline_config = load_pipeline_config()
 
     # Ensure all processing folders exist
-    # pl.create_process_folders(output_fs)
-    #
-    # # Create session folder
-    # session_folder, session_id = pl.create_session_folder(output_fs)
-    #
-    # # Move files into session folder
-    # locator_list = pl.move_files_for_processing(source_fs, session_folder)
-    #
-    # # Process each incoming file
-    # processed_files = [
-    #     process_file(locator, session_folder, pipeline_config, la_code, filename)
-    #     for locator in locator_list
-    # ]
+    pl.create_process_folders(output_fs)
+
+    # Create session folder
+    session_folder, session_id = pl.create_session_folder(output_fs)
+
+    # Move files into session folder
+    locator_list = pl.move_files_for_processing(source_fs, session_folder)
+
+    # Process each incoming file
+    processed_files = [
+        process_file(locator, session_folder, pipeline_config, la_code, filename)
+        for locator in locator_list
+    ]
 
     # Add processed files to archive
     archive = DataframeArchive(
         output_fs.opendir(ProcessNames.ARCHIVE_FOLDER), pipeline_config
     )
-    # for result in processed_files:
-    #     if result.data:
-    #         archive.add(result.data)
-    #
-    # # Write the error summary
-    # error_summary = ErrorContainer(
-    #     [error for result in processed_files for error in result.errors]
-    # )
-    # error_summary.set_property("session_id", session_id)
-    # with session_folder.open("error_summary.csv", "w") as FILE:
-    #     error_summary.to_dataframe().to_csv(FILE, index=False)
+    for result in processed_files:
+        if result.data:
+            archive.add(result.data)
+
+    # Write the error summary
+    error_summary = ErrorContainer(
+        [error for result in processed_files for error in result.errors]
+    )
+    error_summary.set_property("session_id", session_id)
+    with session_folder.open("error_summary.csv", "w") as FILE:
+        error_summary.to_dataframe().to_csv(FILE, index=False)
 
     # Export the current snapshot of the archive
     current_data = archive.current()
     current_data.export(
-        output_fs.opendir(ProcessNames.CURRENT_FOLDER), "sc_c_", "csv"
+        output_fs.opendir(ProcessNames.CURRENT_FOLDER), "s_", "csv"
     )
 
     # Create the different reports
-    export_folder = output_fs.opendir(ProcessNames.EXPORT_FOLDER)
-    for report in ["PAN"]:
-        report_data = prepare_export(current_data, pipeline_config, profile=report)
-        report_folder = export_folder.makedirs(report, recreate=True)
-        report_data.export(report_folder, "sc_", "csv")
+    # export_folder = output_fs.opendir(ProcessNames.EXPORT_FOLDER)
+    # for report in ["PAN"]:
+    #     report_data = prepare_export(current_data, pipeline_config, profile=report)
+    #     report_folder = export_folder.makedirs(report, recreate=True)
+    #     report_data.export(report_folder, "sc_", "csv")
diff --git a/liiatools/school_census_pipeline/spec/__init__.py b/liiatools/school_census_pipeline/spec/__init__.py
index ccdf527..be4b582 100644
--- a/liiatools/school_census_pipeline/spec/__init__.py
+++ b/liiatools/school_census_pipeline/spec/__init__.py
@@ -95,12 +95,3 @@ def load_schema(year: int, term: Term) -> DataSchema:
 
     # Now we can parse the full schema into a DataSchema object from the dict
     return DataSchema(**term_schema)
-
-
-year = 2018
-term = "Autumn"
-x = ['pupilonrolltableid', 'NativeId', 'pupilonrollorderseqcolumn', 'sourceid', 'schoolcensustableid', 'upn', 'formerupn', 'surname', 'forename', 'middlenames', 'preferredsurname', 'uniquelearnernumber', 'formersurname', 'dob', 'hoursatsetting', 'schoollunchtaken', 'parttime', 'entrydate', 'topupfunding', 'termlysessionspossible', 'termlysessionsauthorised', 'termlysessionsunauthorised', 'qualhrs', 'senunitindicator', 'resourcedprovisionindicator', 'nonqualhrs', 'ftemp', 'moveoffrollflag', 'fundedhours', 'missingaddress', 'duplicatenotfunded', 'summerhalfterm2sessionspossible', 'extendedhours', 'thirtyhourcode', 'summerhalfterm2sessionsauthorised', 'summerhalfterm2sessionsunauthorised', 'dafindicator', 'gender', 'yssa', 'servicechild', 'language', 'classtype', 'enrolstatus', 'boarder', 'plaa', 'senprovision', 'ncyearactual', 'mathsgcsehighestpriorattainment', 'mathsgcsepriorattainmentyeargroup', 'englishgcsehighestpriorattainment', 'englishgcsepriorattainmentyeargroup', 'mathsgcsefundingexemption', 'englishgcsefundingexemption']
-y = load_schema(year, term).column_map["pupilonroll"].keys()
-
-print(year, term, set(y) - set(x))
-print(year, term, set(x) - set(y))