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The dataset generation failed because of a cast error

Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 10 new columns ({'blockOrder', 'itemOrder', 'pid', 'author', 'longTitle', 'structureItem', 'level', 'order', 'structureType', 'authorTitle'}) and 1 missing columns ({'para_block'}).

This happened while the csv dataset builder was generating data using

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'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/Bhy7bd_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/Buzcv2_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/CBevVC_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/CCDwaa_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/Cnyt3a_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/CydUVT_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/D78nca_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/FrMQ88_pid_level_ancestor_map.csv', 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'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/mm30o9.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/mnbzzz.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/mnh3nj.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/mnvhfy.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/n3av8a.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/n6MsPi.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nbht7y.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nbnt23.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nbpr23.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nhyjhg.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nqqq3t.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nyf6td.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/ol96b1.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/olivicommentary.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/olm8ij.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/ooij7j.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/oooo3o.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/p9i7y5.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/paqqap.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/pc99ia.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/pdt7y6.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/picoapologia.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/plaoulcommentary.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/plaoulreportatio.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/plaoulreportatioA.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/pqir89.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/qda.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/qrdBas.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/qweqwe.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/raWSwa.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/rbdcir.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/rothwellcommentary.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/ru7y7y.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/summahalensis.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szdada.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szdleg.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szduep.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szovsr.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szstco.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szthvi.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/tRi8UT.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/tavaz1.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/tgy5tz.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/turrettinusinstitutio.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v23d83.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v27ab7.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v78d89.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v8naTA.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vargasdeanima.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vn58an.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vnad2h.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vnsSaS.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wN2gEA.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wWpoi1.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wef6td.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wo8uy7.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wodehamlectura.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/xAbSeN.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/xch7dn.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/y7898a.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/y789tt.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/yth33t.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/yyy8Uu.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/z88d99.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/zef3dd.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1856, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 822, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              pid: null
              blockOrder: null
              structureItem: null
              itemOrder: null
              ancestor: null
              order: null
              structureType: null
              level: null
              longTitle: null
              author: null
              authorTitle: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1539
              to
              {'para_block': Value('string'), 'ancestor': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1379, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 956, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1858, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
                  ...<4 lines>...
                  )
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 10 new columns ({'blockOrder', 'itemOrder', 'pid', 'author', 'longTitle', 'structureItem', 'level', 'order', 'structureType', 'authorTitle'}) and 1 missing columns ({'para_block'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/scta/scta-corpus/data/ancestors/ASTFas_pid_level_ancestor_map.csv (at revision 370b483a8b3824bf7b934e87dacffa3dff50b2a0), ['hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestordf.csv.gz', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/ASTFas_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/AgCMfu_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/Almn78_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/Ans3av_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/ArNeTH_pid_level_ancestor_map.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data/ancestors/AuGch8_pid_level_ancestor_map.csv', 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'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nhyjhg.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nqqq3t.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/nyf6td.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/ol96b1.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/olivicommentary.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/olm8ij.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/ooij7j.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/oooo3o.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/p9i7y5.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/paqqap.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/pc99ia.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/pdt7y6.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/picoapologia.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/plaoulcommentary.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/plaoulreportatio.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/plaoulreportatioA.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/pqir89.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/qda.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/qrdBas.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/qweqwe.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/raWSwa.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/rbdcir.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/rothwellcommentary.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/ru7y7y.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/summahalensis.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szdada.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szdleg.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szduep.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szovsr.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szstco.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/szthvi.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/tRi8UT.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/tavaz1.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/tgy5tz.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/turrettinusinstitutio.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v23d83.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v27ab7.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v78d89.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/v8naTA.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vargasdeanima.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vn58an.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vnad2h.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/vnsSaS.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wN2gEA.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wWpoi1.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wef6td.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wo8uy7.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/wodehamlectura.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/xAbSeN.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/xch7dn.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/y7898a.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/y789tt.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/yth33t.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/yyy8Uu.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/z88d99.csv', 'hf://datasets/scta/scta-corpus@370b483a8b3824bf7b934e87dacffa3dff50b2a0/data_lemmatized/texts/zef3dd.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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http://scta.info/resource/ppr-l16-eispda	http://scta.info/resource/plaoulreportatio
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http://scta.info/resource/aw98wa-xg1925-rapaoe	http://scta.info/resource/aw98wa-xg1925-Draappd
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa-xg0084
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa-xg1925
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa-xg1921
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa-xg1925-Dseclus
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa-xg1925-Dsaprdu
http://scta.info/resource/aw98wa-xg1925-sqeesa	http://scta.info/resource/aw98wa-xg1925-Draappd
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa-xg0084
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa-xg1925
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa-xg1921
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa-xg1925-Dseclus
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa-xg1925-Dsaprdu
http://scta.info/resource/aw98wa-xg1925-asdssa	http://scta.info/resource/aw98wa-xg1925-Draappd
http://scta.info/resource/aw98wa-xg1925-atdmiv	http://scta.info/resource/aw98wa
http://scta.info/resource/aw98wa-xg1925-atdmiv	http://scta.info/resource/aw98wa-xg0084
http://scta.info/resource/aw98wa-xg1925-atdmiv	http://scta.info/resource/aw98wa-xg1925
http://scta.info/resource/aw98wa-xg1925-atdmiv	http://scta.info/resource/aw98wa-xg1921

End of preview.

SCTA corpus (2026.10)

The texts of the Scholastic Commentaries and Texts Archive as used by scta-scikit: paragraph texts, the structure (ancestor and expression-type maps) every document grouping is built from, question titles, citation tables, and lemmatized texts.

391 texts, 1404 files, 1.4 GB.

Use

import scta_scikit as sc
sc.download()                                    # the latest corpus; builds the document pickles locally
sc.download("2026.10")                              # this version
sc.download(texts=["augustinedetrinitate"])      # some texts
sc.download(doc2vec=True)                        # with the Doc2Vec models and the corpus they were trained on

The question-title TF-IDF and the citation similarities are computed from these files on your machine (seconds); the Doc2Vec models are in scta/scta-doc2vec.

Versions

Each release is a tag (2026.10, then 2026.10.1 for a second release in the same month), never changed once published; main is the latest.

License

Published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0), https://creativecommons.org/licenses/by-nc-sa/4.0/.

Built 2026-10-24T12:43:55Z with scta-scikit 553c3a9; see manifest.json for every file and its sha256.

Downloads last month: 23

Total file size:

1.44 GB

Models trained or fine-tuned on scta/scta-corpus

scta/scta-doc2vec

Updated 1 day ago

scta/scta-para-tfidf

Updated about 24 hours ago