Datasets:

---

vingtetun

/

natural-questions

Like 1

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 4 new columns ({'document_tokens', 'question_tokens', 'document_html', 'document_title'}) and 1 missing columns ({'document_text'}).

This happened while the json dataset builder was generating data using

gzip://nq-dev-all.jsonl::hf://datasets/vingtetun/natural-questions@901102c8b34f59c196c540bf3c6ffe6db8ada6b7/data/nq-dev-all.jsonl.gz, ['hf://datasets/vingtetun/natural-questions@901102c8b34f59c196c540bf3c6ffe6db8ada6b7/data/nq-dev-all.jsonl.gz', 'hf://datasets/vingtetun/natural-questions@901102c8b34f59c196c540bf3c6ffe6db8ada6b7/data/simplified-nq-dev.jsonl.gz']

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/python3.12/site-packages/datasets/builder.py", line 1887, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 675, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              annotations: list<item: struct<annotation_id: double, long_answer: struct<candidate_index: int64, end_byte: int64 (... 192 chars omitted)
                child 0, item: struct<annotation_id: double, long_answer: struct<candidate_index: int64, end_byte: int64, end_token (... 180 chars omitted)
                    child 0, annotation_id: double
                    child 1, long_answer: struct<candidate_index: int64, end_byte: int64, end_token: int64, start_byte: int64, start_token: in (... 4 chars omitted)
                        child 0, candidate_index: int64
                        child 1, end_byte: int64
                        child 2, end_token: int64
                        child 3, start_byte: int64
                        child 4, start_token: int64
                    child 2, short_answers: list<item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64>>
                        child 0, item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64>
                            child 0, end_byte: int64
                            child 1, end_token: int64
                            child 2, start_byte: int64
                            child 3, start_token: int64
                    child 3, yes_no_answer: string
              document_html: string
              document_title: string
              document_tokens: list<item: struct<end_byte: int64, html_token: bool, start_byte: int64, token: string>>
                child 0, item: struct<end_byte: int64, html_token: bool, start_byte: int64, token: string>
                    child 0, end_byte: int64
                    child 1, html_token: bool
                    child 2, start_byte: int64
                    child 3, token: string
              document_url: string
              example_id: int64
              long_answer_candidates: list<item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64, top_leve (... 9 chars omitted)
                child 0, item: struct<end_byte: int64, end_token: int64, start_byte: int64, start_token: int64, top_level: bool>
                    child 0, end_byte: int64
                    child 1, end_token: int64
                    child 2, start_byte: int64
                    child 3, start_token: int64
                    child 4, top_level: bool
              question_text: string
              question_tokens: list<item: string>
                child 0, item: string
              to
              {'document_text': Value('string'), 'long_answer_candidates': List({'start_token': Value('int64'), 'top_level': Value('bool'), 'end_token': Value('int64')}), 'question_text': Value('string'), 'annotations': List({'yes_no_answer': Value('string'), 'long_answer': {'start_token': Value('int64'), 'candidate_index': Value('int64'), 'end_token': Value('int64')}, 'short_answers': List({'start_token': Value('int64'), 'end_token': Value('int64')}), 'annotation_id': Value('float64')}), 'document_url': Value('string'), 'example_id': 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 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1889, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              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 4 new columns ({'document_tokens', 'question_tokens', 'document_html', 'document_title'}) and 1 missing columns ({'document_text'}).
              
              This happened while the json dataset builder was generating data using
              
              gzip://nq-dev-all.jsonl::hf://datasets/vingtetun/natural-questions@901102c8b34f59c196c540bf3c6ffe6db8ada6b7/data/nq-dev-all.jsonl.gz, ['hf://datasets/vingtetun/natural-questions@901102c8b34f59c196c540bf3c6ffe6db8ada6b7/data/nq-dev-all.jsonl.gz', 'hf://datasets/vingtetun/natural-questions@901102c8b34f59c196c540bf3c6ffe6db8ada6b7/data/simplified-nq-dev.jsonl.gz']
              
              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)