Datasets:

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Jedi

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XLang NLP Lab 202

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 ({'total_entries', 'invalid_entries', 'images_folder', 'total_image_paths', 'original_json_path', 'dataset_name', 'copied_images', 'failed_images'}) and 4 missing columns ({'image_id', 'image', 'conversations', 'id'}).

This happened while the json dataset builder was generating data using

hf://datasets/xlangai/Jedi/datasets/icon_grounding/training_data_icon_grounded_merged/metadata.json (at revision 90ed6fef733041ef56d9e2d347282d739274e701)

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 643, 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
              dataset_name: string
              original_json_path: string
              images_folder: string
              total_entries: int64
              invalid_entries: int64
              total_image_paths: int64
              copied_images: int64
              failed_images: int64
              to
              {'id': Value(dtype='string', id=None), 'image': Value(dtype='string', id=None), 'conversations': [{'from': Value(dtype='string', id=None), 'value': Value(dtype='string', id=None)}], 'image_id': 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 1431, 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 992, in stream_convert_to_parquet
                  builder._prepare_split(
                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 ({'total_entries', 'invalid_entries', 'images_folder', 'total_image_paths', 'original_json_path', 'dataset_name', 'copied_images', 'failed_images'}) and 4 missing columns ({'image_id', 'image', 'conversations', 'id'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/xlangai/Jedi/datasets/icon_grounding/training_data_icon_grounded_merged/metadata.json (at revision 90ed6fef733041ef56d9e2d347282d739274e701)
              
              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)