Datasets:

YuWangX

/

KnowledgeRetention

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 6 new columns ({'annotations', 'document_url', 'document_text', 'example_id', 'question_text', 'long_answer_candidates'}) and 2 missing columns ({'data', 'version'}).

This happened while the json dataset builder was generating data using

hf://datasets/YuWangX/KnowledgeRetention/nq/v1.0-simplified_simplified-nq-train.jsonl (at revision c609067a4b7464dc4bf949cbb31996e47dd9be5a)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              document_text: string
              long_answer_candidates: list<item: struct<start_token: int64, top_level: bool, end_token: int64>>
                child 0, item: struct<start_token: int64, top_level: bool, end_token: int64>
                    child 0, start_token: int64
                    child 1, top_level: bool
                    child 2, end_token: int64
              question_text: string
              annotations: list<item: struct<yes_no_answer: string, long_answer: struct<start_token: int64, candidate_index: int64, end_token: int64>, short_answers: list<item: struct<start_token: int64, end_token: int64>>, annotation_id: double>>
                child 0, item: struct<yes_no_answer: string, long_answer: struct<start_token: int64, candidate_index: int64, end_token: int64>, short_answers: list<item: struct<start_token: int64, end_token: int64>>, annotation_id: double>
                    child 0, yes_no_answer: string
                    child 1, long_answer: struct<start_token: int64, candidate_index: int64, end_token: int64>
                        child 0, start_token: int64
                        child 1, candidate_index: int64
                        child 2, end_token: int64
                    child 2, short_answers: list<item: struct<start_token: int64, end_token: int64>>
                        child 0, item: struct<start_token: int64, end_token: int64>
                            child 0, start_token: int64
                            child 1, end_token: int64
                    child 3, annotation_id: double
              document_url: string
              example_id: int64
              to
              {'version': Value(dtype='string', id=None), 'data': [{'title': Value(dtype='string', id=None), 'paragraphs': [{'qas': [{'question': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'answers': [{'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int64', id=None)}], 'is_impossible': Value(dtype='bool', id=None), 'plausible_answers': [{'text': Value(dtype='string', id=None), 'answer_start': Value(dtype='int64', id=None)}]}], 'context': Value(dtype='string', id=None)}]}]}
              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 1572, 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 1136, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, 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 6 new columns ({'annotations', 'document_url', 'document_text', 'example_id', 'question_text', 'long_answer_candidates'}) and 2 missing columns ({'data', 'version'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/YuWangX/KnowledgeRetention/nq/v1.0-simplified_simplified-nq-train.jsonl (at revision c609067a4b7464dc4bf949cbb31996e47dd9be5a)
              
              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)