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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 36 new columns ({'text', 'platform', 'fresh_source', 'original_utf8_bytes', 'source_path', 'commit', 'identity_keys', 'repository', 'detail_path', 'training_only', 'license', 'figure_limitation', 'known_version_paths', 'version_evidence', 'source_metadata', 'family_keys', 'raw_source_sha256', 'selected_version', 'prior_exposure', 'allowed_role', 'transformation_notice', 'split', 'identity_resolved', 'detail_sha256', 'family', 'representation', 'attribution', 'raw_source_bytes', 'sha256', 'raw_path', 'title', 'subjects', 'extraction_stats', 'domain', 'source_family_before_grouping', 'source_url'}) and 3 missing columns ({'token_offset', 'text_sha256', 'utf8_bytes'}).

This happened while the json dataset builder was generating data using

hf://datasets/TrickyRex/compact-scientific-lm-data/input/development_train.jsonl (at revision 3226d74dc85cf8843f59cf73107b76f7d65186b3), ['hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/train.boundaries.json', 'hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/development_train.jsonl'], ['hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/train.boundaries.json', 'hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/development_train.jsonl']

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 1848, in _prepare_split_single
                  writer.write_table(table)
                  ~~~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, 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 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              allowed_role: string
              attribution: list<item: struct<collaboration: string, given_names: string, orcids: list<item: string>, surname: s (... 7 chars omitted)
                child 0, item: struct<collaboration: string, given_names: string, orcids: list<item: string>, surname: string>
                    child 0, collaboration: string
                    child 1, given_names: string
                    child 2, orcids: list<item: string>
                        child 0, item: string
                    child 3, surname: string
              commit: string
              detail_path: string
              detail_sha256: string
              domain: string
              extraction_stats: struct<blocks_caption: int64, blocks_label: int64, blocks_p: int64, blocks_sec: int64, blocks_title: (... 259 chars omitted)
                child 0, blocks_caption: int64
                child 1, blocks_label: int64
                child 2, blocks_p: int64
                child 3, blocks_sec: int64
                child 4, blocks_title: int64
                child 5, omitted_xref: int64
                child 6, outside_formula_sub: int64
                child 7, outside_formula_sup: int64
                child 8, unrendered_graphics: int64
                child 9, blocks_table-wrap: int64
                child 10, table_rows: int64
                child 11, tables: int64
                child 12, omitted_supplementary-material: int64
                child 13, blocks_list-item: int64
                child 14, formula_mathml: int64
              family: string
              family_keys: list<item: string>
                child 0, item: string
              figure_limitation: string
              fresh_source: bool
              id: string
              identity_keys: list<item: string>
                child 0, item: string
              identity_resolved: bool
              known_version_paths: list<item: string>
                child 0, item: string
              license: struct<accepted: bool, copyright_statements: lis
              ...
               2, related_works: list<item: struct<attributes: struct<ext-link-type: string, id: string, related-article-type: string (... 74 chars omitted)
                    child 0, item: struct<attributes: struct<ext-link-type: string, id: string, related-article-type: string, {http://w (... 62 chars omitted)
                        child 0, attributes: struct<ext-link-type: string, id: string, related-article-type: string, {http://www.w3.org/1999/xlin (... 15 chars omitted)
                            child 0, ext-link-type: string
                            child 1, id: string
                            child 2, related-article-type: string
                            child 3, {http://www.w3.org/1999/xlink}href: string
                        child 1, tag: string
                        child 2, text: string
                child 3, title: string
              source_path: string
              source_url: string
              split: string
              subjects: list<item: string>
                child 0, item: string
              text: string
              title: string
              tokens: int64
              training_only: bool
              transformation_notice: string
              version_evidence: struct<elocation_id: string, publication_dates: list<item: struct<date-type: string, publication-for (... 78 chars omitted)
                child 0, elocation_id: string
                child 1, publication_dates: list<item: struct<date-type: string, publication-format: string, pub-type: string>>
                    child 0, item: struct<date-type: string, publication-format: string, pub-type: string>
                        child 0, date-type: string
                        child 1, publication-format: string
                        child 2, pub-type: string
                child 2, rule: string
                child 3, status: string
                child 4, volume: string
              to
              {'id': Value('string'), 'text_sha256': Value('string'), 'token_offset': Value('int64'), 'tokens': Value('int64'), 'utf8_bytes': Value('int64')}
              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 1369, 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 948, 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 1694, 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 1850, 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 36 new columns ({'text', 'platform', 'fresh_source', 'original_utf8_bytes', 'source_path', 'commit', 'identity_keys', 'repository', 'detail_path', 'training_only', 'license', 'figure_limitation', 'known_version_paths', 'version_evidence', 'source_metadata', 'family_keys', 'raw_source_sha256', 'selected_version', 'prior_exposure', 'allowed_role', 'transformation_notice', 'split', 'identity_resolved', 'detail_sha256', 'family', 'representation', 'attribution', 'raw_source_bytes', 'sha256', 'raw_path', 'title', 'subjects', 'extraction_stats', 'domain', 'source_family_before_grouping', 'source_url'}) and 3 missing columns ({'token_offset', 'text_sha256', 'utf8_bytes'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/TrickyRex/compact-scientific-lm-data/input/development_train.jsonl (at revision 3226d74dc85cf8843f59cf73107b76f7d65186b3), ['hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/train.boundaries.json', 'hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/development_train.jsonl'], ['hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/train.boundaries.json', 'hf://datasets/TrickyRex/compact-scientific-lm-data@3226d74dc85cf8843f59cf73107b76f7d65186b3/input/development_train.jsonl']
              
              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.

id
string
text_sha256
string
token_offset
int64
tokens
int64
utf8_bytes
int64
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