Datasets:

---

starjyf

/

MLLMKC-Bench-dataset

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 8 new columns ({'mis_instance', 'mcq_disanswer2', 'mcq_disanswer1', 'mis_description', 'category', 'description', 'open_groundtruth', 'open_query'}) and 11 missing columns ({'dis_answer2', 'last_modified', 'dis_answer1', 'question', 'generated_at', 'mcq_dis_answer2', 'rank', 'mcq_dis_answer1', 'answer', 'confused_answer', 'value'}).

This happened while the json dataset builder was generating data using

hf://datasets/starjyf/MLLMKC-Bench-dataset/ER.json (at revision bbf9202b7d52d1830b8f80a60611bc0119553f0a)

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 1871, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 623, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              instance: string
              description: string
              image_path: list<item: string>
                child 0, item: string
              category: string
              mis_instance: list<item: string>
                child 0, item: string
              mis_description: struct<incorrect_description_1: string, incorrect_description_2: string, mis_answer_1: string, mis_answer_2: string>
                child 0, incorrect_description_1: string
                child 1, incorrect_description_2: string
                child 2, mis_answer_1: string
                child 3, mis_answer_2: string
              ID: int64
              open_query: string
              open_groundtruth: string
              mcq_query: string
              mcq_groundtruth: string
              mcq_disanswer1: string
              mcq_disanswer2: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 1761
              to
              {'instance': Value(dtype='string', id=None), 'question': Value(dtype='string', id=None), 'answer': Value(dtype='string', id=None), 'value': Value(dtype='string', id=None), 'rank': Value(dtype='string', id=None), 'dis_answer1': Value(dtype='string', id=None), 'dis_answer2': Value(dtype='string', id=None), 'confused_answer': Value(dtype='string', id=None), 'generated_at': Value(dtype='timestamp[ns]', id=None), 'mcq_query': Value(dtype='string', id=None), 'mcq_groundtruth': Value(dtype='string', id=None), 'mcq_dis_answer1': Value(dtype='string', id=None), 'mcq_dis_answer2': Value(dtype='string', id=None), 'last_modified': Value(dtype='string', id=None), 'image_path': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'ID': Value(dtype='int64', 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 1438, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1050, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1742, 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 1873, 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 8 new columns ({'mis_instance', 'mcq_disanswer2', 'mcq_disanswer1', 'mis_description', 'category', 'description', 'open_groundtruth', 'open_query'}) and 11 missing columns ({'dis_answer2', 'last_modified', 'dis_answer1', 'question', 'generated_at', 'mcq_dis_answer2', 'rank', 'mcq_dis_answer1', 'answer', 'confused_answer', 'value'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/starjyf/MLLMKC-Bench-dataset/ER.json (at revision bbf9202b7d52d1830b8f80a60611bc0119553f0a)
              
              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)