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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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4.89
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3
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4.71
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5.96
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End of preview.

Description

This repo contains the meta information of datasets stored in chaofengc/IQA-PyTorch-Weights. They are used in the training codes of the pyiqa toolbox.

Disclaimer for Datasets Included

This collection of datasets is compiled and maintained for academic, research, and educational purposes. It is important to note the following points regarding the datasets included in this Collection:

  • Rights & Permissions: Each dataset in this Collection is the property of its respective creators and owners. We do not claim ownership of any of these datasets. The inclusion of a dataset in this Collection does not imply any affiliation with or endorsement by the dataset's creators or owners.
  • Usage Guidelines: Users of this Collection are advised to adhere to the usage guidelines, licensing terms, and conditions set forth by the original creators or owners of each dataset. It is the user's responsibility to ensure compliance with these terms.
  • No Warranty: This Collection is provided "as is" without any warranties, express or implied, regarding the accuracy, completeness, performance, or suitability of the datasets for any particular purpose. Users should verify the appropriateness and quality of each dataset for their specific needs.
  • Attribution: Proper attribution should be given to the original creators or sources of the datasets when they are used for research, publication, or other purposes.
  • Changes and Updates: The contents of this Collection are subject to change without notice. We reserve the right to add, modify, or remove datasets from the Collection at any time.
  • Contact Information: For any inquiries or concerns regarding the datasets in this Collection, please contact the original creators or owners of the respective datasets.
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