Datasets:
chaofengc
/
IQA-PyTorch-Datasets-metainfo

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The dataset generation failed because of a cast error
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 5 new columns ({'ref_img_path', 'split', 'judge/same', 'p0_img_path', 'p1_img_path'}) and 15 missing columns ({'c7', 'c6', 'MOS', 'c1', 'semantic_tag1', 'ILGnet_split', 'c3', 'img_name', 'c8', 'semantic_tag2', 'c9', 'c2', 'c4', 'c10', 'c5'}).

This happened while the csv dataset builder was generating data using

hf://datasets/chaofengc/IQA-PyTorch-Datasets-metainfo/meta_info_BAPPSDataset.csv (at revision 4ee2b4f85138bac8f875d61dc9b4c50e006f8466)

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 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ref_img_path: string
              p0_img_path: string
              p1_img_path: string
              judge/same: double
              split: int64
              official_split: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 987
              to
              {'img_name': Value(dtype='string', id=None), 'MOS': Value(dtype='float64', id=None), 'c1': Value(dtype='int64', id=None), 'c2': Value(dtype='int64', id=None), 'c3': Value(dtype='int64', id=None), 'c4': Value(dtype='int64', id=None), 'c5': Value(dtype='int64', id=None), 'c6': Value(dtype='int64', id=None), 'c7': Value(dtype='int64', id=None), 'c8': Value(dtype='int64', id=None), 'c9': Value(dtype='int64', id=None), 'c10': Value(dtype='int64', id=None), 'semantic_tag1': Value(dtype='int64', id=None), 'semantic_tag2': Value(dtype='int64', id=None), 'official_split': Value(dtype='int64', id=None), 'ILGnet_split': 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 1392, 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 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, 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 1740, 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 1871, 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 5 new columns ({'ref_img_path', 'split', 'judge/same', 'p0_img_path', 'p1_img_path'}) and 15 missing columns ({'c7', 'c6', 'MOS', 'c1', 'semantic_tag1', 'ILGnet_split', 'c3', 'img_name', 'c8', 'semantic_tag2', 'c9', 'c2', 'c4', 'c10', 'c5'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/chaofengc/IQA-PyTorch-Datasets-metainfo/meta_info_BAPPSDataset.csv (at revision 4ee2b4f85138bac8f875d61dc9b4c50e006f8466)
              
              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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

img_name
string
MOS
float64
c1
int64
c2
int64
c3
int64
c4
int64
c5
int64
c6
int64
c7
int64
c8
int64
c9
int64
c10
int64
semantic_tag1
int64
semantic_tag2
int64
official_split
int64
ILGnet_split
int64
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End of preview.