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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 2 new columns ({'test_augmented', 'test_human'}) and 15 missing columns ({'IQ_Test', 'Forensic_Detection', 'Art_Style', 'Jigsaw', 'Relative_Depth', 'split', 'Visual_Correspondence', 'Multi-view_Reasoning', 'Semantic_Correspondence', 'Object_Localization', 'Visual_Similarity', 'Spatial_Relation', 'Functional_Correspondence', 'Counting', 'Relative_Reflectance'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jieyuz2/me/ChartQA_TEST_acc.csv (at revision 6560597e4feda1ae8b502a7602045122f5756201)
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 2013, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
test_human: double
test_augmented: double
Overall: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 624
to
{'split': Value(dtype='string', id=None), 'Overall': Value(dtype='float64', id=None), 'Art_Style': Value(dtype='float64', id=None), 'Counting': Value(dtype='float64', id=None), 'Forensic_Detection': Value(dtype='float64', id=None), 'Functional_Correspondence': Value(dtype='float64', id=None), 'IQ_Test': Value(dtype='float64', id=None), 'Jigsaw': Value(dtype='float64', id=None), 'Multi-view_Reasoning': Value(dtype='float64', id=None), 'Object_Localization': Value(dtype='float64', id=None), 'Relative_Depth': Value(dtype='float64', id=None), 'Relative_Reflectance': Value(dtype='float64', id=None), 'Semantic_Correspondence': Value(dtype='float64', id=None), 'Spatial_Relation': Value(dtype='float64', id=None), 'Visual_Correspondence': Value(dtype='float64', id=None), 'Visual_Similarity': Value(dtype='float64', 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 1396, 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 1045, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, 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 1884, 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 2015, 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 2 new columns ({'test_augmented', 'test_human'}) and 15 missing columns ({'IQ_Test', 'Forensic_Detection', 'Art_Style', 'Jigsaw', 'Relative_Depth', 'split', 'Visual_Correspondence', 'Multi-view_Reasoning', 'Semantic_Correspondence', 'Object_Localization', 'Visual_Similarity', 'Spatial_Relation', 'Functional_Correspondence', 'Counting', 'Relative_Reflectance'}).
This happened while the csv dataset builder was generating data using
hf://datasets/jieyuz2/me/ChartQA_TEST_acc.csv (at revision 6560597e4feda1ae8b502a7602045122f5756201)
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.
split
string | Overall
float64 | Art_Style
float64 | Counting
float64 | Forensic_Detection
float64 | Functional_Correspondence
float64 | IQ_Test
float64 | Jigsaw
float64 | Multi-view_Reasoning
float64 | Object_Localization
float64 | Relative_Depth
float64 | Relative_Reflectance
float64 | Semantic_Correspondence
float64 | Spatial_Relation
float64 | Visual_Correspondence
float64 | Visual_Similarity
float64 | test_human
float64 | test_augmented
float64 | val
float64 | aAcc
float64 | fAcc
float64 | qAcc
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
none | 0.485008 | 0.709402 | 0.516667 | 0.439394 | 0.153846 | 0.213333 | 0.766667 | 0.571429 | 0.5 | 0.475806 | 0.328358 | 0.302158 | 0.685315 | 0.325581 | 0.859259 | null | null | null | null | null | null |
null | 36.48 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 28.48 | 44.48 | null | null | null | null |
null | 39.833766 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 39.833766 | null | null | null |
Overall | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 48.159832 | 21.676301 | 14.725275 |
VD | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 51.43824 | 26.521739 | 17.32852 |
VS | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 42.777778 | 12.068966 | 10.674157 |
VD_ocr | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 67.41573 | 37.209302 | 34.883721 |
VD_math | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 43.518519 | 13.888889 | 14.814815 |
VD_figure | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 70 | 48.780488 | 38.461538 |
VD_illusion | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 48.611111 | 29.032258 | 8.333333 |
VS_chart | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 36.923077 | 7.5 | 17.105263 |
VS_table | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 44.642857 | 7.142857 | 4.651163 |
VD_video | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 41.764706 | 4.166667 | 5.797101 |
VS_map | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 43.75 | 13.636364 | 3.125 |
VS_ocr | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | 51.851852 | 23.076923 | 11.111111 |
overall | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
detail | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
complex | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
conv | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
dev | 0.727663 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
dev | 0.46 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
validation | 0.443333 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
VAL | 0.528622 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
ALL | 0.528622 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
Overall | 83.746624 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
popular | 84.4098 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
adversarial | 82.064237 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
random | 84.819097 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
none | 0.515033 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
none | 0.68072 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
test | 0.773922 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
null | 51.886 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
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