Datasets:

---

Sulum82

/

veracity_evaluation

Like 0

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 6 new columns ({'remote_claim_id', 'completed_at', 'dataset_id', 'llama_score', 'n_sources', 'claim'}) and 1 missing columns ({'claim_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Sulum82/veracity_evaluation/faviq_claims_slice_1000_scores_evidence.csv (at revision baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750), ['hf://datasets/Sulum82/veracity_evaluation@baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750/covidfact_veracity_results_full.csv', 'hf://datasets/Sulum82/veracity_evaluation@baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750/faviq_claims_slice_1000_scores_evidence.csv', 'hf://datasets/Sulum82/veracity_evaluation@baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750/fever_claims_slice_300_scores_evidence.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 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
              claim: string
              claim_text: string
              dataset_id: string
              remote_claim_id: string
              completed_at: string
              veracity_score: double
              analysis_text: string
              evidence: string
              n_sources: int64
              full_three_articles: string
              llama_resp: string
              llama_score: double
              gemma_resp: string
              gpt_resp: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1986
              to
              {'claim_id': Value('string'), 'claim_text': Value('string'), 'veracity_score': Value('float64'), 'analysis_text': Value('string'), 'evidence': Value('string'), 'full_three_articles': Value('string'), 'llama_resp': Value('string'), 'gemma_resp': Value('string'), 'gpt_resp': 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 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 6 new columns ({'remote_claim_id', 'completed_at', 'dataset_id', 'llama_score', 'n_sources', 'claim'}) and 1 missing columns ({'claim_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Sulum82/veracity_evaluation/faviq_claims_slice_1000_scores_evidence.csv (at revision baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750), ['hf://datasets/Sulum82/veracity_evaluation@baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750/covidfact_veracity_results_full.csv', 'hf://datasets/Sulum82/veracity_evaluation@baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750/faviq_claims_slice_1000_scores_evidence.csv', 'hf://datasets/Sulum82/veracity_evaluation@baca3ffd4fb2a5fa5ce63dc2084d1c78fdfad750/fever_claims_slice_300_scores_evidence.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)