Datasets:

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lation

/

WeatherQA_CoT_Error_Injection

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 3 new columns ({'has_error', 'parsed_reasoning', 'intended_error_details'})

This happened while the json dataset builder was generating data using

hf://datasets/lation/WeatherQA_CoT_Error_Injection/enhanced_00000.json (at revision def1504bc1ab26a0757d965c2d8655754ef516b6)

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
              id: string
              image: list<item: struct<bytes: null, path: string>>
                child 0, item: struct<bytes: null, path: string>
                    child 0, bytes: null
                    child 1, path: string
              conversations: struct<from: list<item: string>, value: list<item: string>>
                child 0, from: list<item: string>
                    child 0, item: string
                child 1, value: list<item: string>
                    child 0, item: string
              has_error: bool
              intended_error_details: struct<1: string, 2: string, 3: string, 4: string, 5: string>
                child 0, 1: string
                child 1, 2: string
                child 2, 3: string
                child 3, 4: string
                child 4, 5: string
              parsed_reasoning: struct<1: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>, 2: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>, 3: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>, 4: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>, 5: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>, 6: struct<selected_area: string>, 7: struct<selected_concern: string>>
                child 0, 1: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>
                    child 0, content: string
                    child 1, description: string
                    child 2, image_correct: bool
                    child 3, logic_correct: bool
                    child 4, title: string
                child 1, 2: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>
                    child 0, content: string
                    child 1, description: string
                    child 2, image_correct: bool
                    child 3, logic_correct: bool
                    child 4, title: string
                child 2, 3: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>
                    child 0, content: string
                    child 1, description: string
                    child 2, image_correct: bool
                    child 3, logic_correct: bool
                    child 4, title: string
                child 3, 4: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>
                    child 0, content: string
                    child 1, description: string
                    child 2, image_correct: bool
                    child 3, logic_correct: bool
                    child 4, title: string
                child 4, 5: struct<content: string, description: string, image_correct: bool, logic_correct: bool, title: string>
                    child 0, content: string
                    child 1, description: string
                    child 2, image_correct: bool
                    child 3, logic_correct: bool
                    child 4, title: string
                child 5, 6: struct<selected_area: string>
                    child 0, selected_area: string
                child 6, 7: struct<selected_concern: string>
                    child 0, selected_concern: string
              -- schema metadata --
              pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 824
              to
              {'id': Value(dtype='string', id=None), 'image': [{'bytes': Value(dtype='null', id=None), 'path': Value(dtype='string', id=None)}], 'conversations': [{'from': Value(dtype='string', id=None), 'value': 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 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 3 new columns ({'has_error', 'parsed_reasoning', 'intended_error_details'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/lation/WeatherQA_CoT_Error_Injection/enhanced_00000.json (at revision def1504bc1ab26a0757d965c2d8655754ef516b6)
              
              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)