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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 17 new columns ({'question subtype', 'contrast', 'spacing', 'multiple-choice question', 'shape', 'question type', 'lesion', 'Question ID', 'split', 'age', 'question', 'sex', 'scanner', 'answer', 'correct option', 'organ', 'Image ID'}) and 2 missing columns ({'original id', 'AbdomenAtlas_id'}).

This happened while the csv dataset builder was generating data using

hf://datasets/tumor-vqa/DeepTumorVQA_1.0/Tumor_VQA_dataset_V3.csv (at revision 2557a8ccb9db849c7ac8983ed2f6b760bac86253)

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
              Question ID: int64
              Image ID: string
              spacing: string
              shape: string
              sex: string
              age: double
              scanner: string
              contrast: string
              question: string
              answer: string
              multiple-choice question: string
              correct option: string
              organ: string
              lesion: string
              question type: string
              question subtype: string
              split: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2259
              to
              {'original id': Value(dtype='string', id=None), 'AbdomenAtlas_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 1433, 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 17 new columns ({'question subtype', 'contrast', 'spacing', 'multiple-choice question', 'shape', 'question type', 'lesion', 'Question ID', 'split', 'age', 'question', 'sex', 'scanner', 'answer', 'correct option', 'organ', 'Image ID'}) and 2 missing columns ({'original id', 'AbdomenAtlas_id'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/tumor-vqa/DeepTumorVQA_1.0/Tumor_VQA_dataset_V3.csv (at revision 2557a8ccb9db849c7ac8983ed2f6b760bac86253)
              
              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.

original id
string
AbdomenAtlas_id
string
autoPET_PETCT_404f8c732f
BDMAP_00000001
TCIA-Pancreas-CT_PANCREAS_0039
BDMAP_00000002
TotalSegmentator_s0543
BDMAP_00000003
MSD-Colon_colon_195
BDMAP_00000004
TCIAColon_TCIAColon_0256_0_1
BDMAP_00000005
autoPET_PETCT_63464433c8
BDMAP_00000006
MSD-HepaticVessel_hepaticvessel_447
BDMAP_00000007
KiTS19-21_prediction_00280
BDMAP_00000008
WORD_word_0086
BDMAP_00000009
autoPET_PETCT_f637b5930b
BDMAP_00000010
autoPET_PETCT_49479d6e64
BDMAP_00000011
TCIAColon_TCIAColon_0300_0_1
BDMAP_00000012
MSD-HepaticVessel_hepaticvessel_200
BDMAP_00000013
TotalSegmentator_s0904
BDMAP_00000014
MSD-HepaticVessel_hepaticvessel_406
BDMAP_00000015
TCIA-LDCT_LDCT-L277_0_1
BDMAP_00000016
FLARE23Val_FLARE23_Ts_0084_0000
BDMAP_00000017
TotalSegmentator_s1089
BDMAP_00000018
TCIAColon_TCIAColon_0233_0_4
BDMAP_00000019
BTCV_img0034
BDMAP_00000020
TotalSegmentator_s0369
BDMAP_00000021
TCIAColon_TCIAColon_0249_0_2
BDMAP_00000022
KiTS21_img0228
BDMAP_00000023
MSD-Pancreas_pancreas_476
BDMAP_00000024
MSD-Hepatic_hepaticvessel_343
BDMAP_00000025
NIH-Lymph_NIH-LYMPH-ABD-041_0_0
BDMAP_00000026
MSD-Colon_colon_188
BDMAP_00000027
AbdomenCT-1K_Case_01035_0000
BDMAP_00000028
MSD-Hepatic_hepaticvessel_334
BDMAP_00000029
MSD-Colon_colon_139
BDMAP_00000030
autoPET_PETCT_b53ba7c6bf
BDMAP_00000031
autoPET_PETCT_5d553bf6b4
BDMAP_00000032
autoPET_PETCT_ba81e4b04b
BDMAP_00000033
KiTS21_img0268
BDMAP_00000034
Decathlon_hepaticvessel_325
BDMAP_00000035
KiTS23_case_00401
BDMAP_00000036
MSD-Hepatic_hepaticvessel_036
BDMAP_00000037
Decathlon_hepaticvessel_199
BDMAP_00000038
KiTS21_img0066
BDMAP_00000039
TCIAColon_TCIAColon_0262_0_3
BDMAP_00000040
autoPET_PETCT_f5c2c09846
BDMAP_00000041
TotalSegmentator_s0250
BDMAP_00000042
KiTS21_img0298
BDMAP_00000043
KiTS23_case_00512
BDMAP_00000044
MSD-Colon_colon_128
BDMAP_00000045
TCIA-CPTAC-PDA_CPTAC-PDA-C3N-02010_0_1
BDMAP_00000046
AbdomenCT-1K_Case_00056_0000
BDMAP_00000047
TCIAColon_TCIAColon_0188_0_1
BDMAP_00000048
AbdomenCT-1K_Case_00535_0000
BDMAP_00000049
AMOS_amos_0059
BDMAP_00000050
TotalSegmentator_s1374
BDMAP_00000051
AbdomenCT-1K_Case_00162_0000
BDMAP_00000052
autoPET_PETCT_2ce074c2ea
BDMAP_00000053
TCIA-CPTAC-PDA_CPTAC-PDA-C3N-03000_0_3
BDMAP_00000054
MSD-Pancreas_pancreas_014
BDMAP_00000055
Decathlon_spleen_33
BDMAP_00000056
TCIAColon_TCIAColon_0166_0_3
BDMAP_00000057
TCIA-LDCT_LDCT-L193_0_1
BDMAP_00000058
KiTS21_img0286
BDMAP_00000059
TCIAColon_TCIAColon_0232_0_2
BDMAP_00000060
TotalSegmentator_s1348
BDMAP_00000061
KiTS21_img0017
BDMAP_00000062
TCIAColon_TCIAColon_0161_0_3
BDMAP_00000063
MSD-Liver_liver_148
BDMAP_00000064
TCIA-LDCT_LDCT-L219_0_1
BDMAP_00000065
KiTS21_img0116
BDMAP_00000066
TCIAColon_TCIAColon_0082_0_3
BDMAP_00000067
AbdomenCT-1K_Case_00799_0000
BDMAP_00000068
MSD-Colon_colon_012
BDMAP_00000069
TotalSegmentator_s0429
BDMAP_00000070
AMOS_amos_0044
BDMAP_00000071
autoPET_PETCT_5de3ac617a
BDMAP_00000072
autoPET_PETCT_ded50b1e68
BDMAP_00000073
Decathlon_lung_016
BDMAP_00000074
Decathlon_hepaticvessel_005
BDMAP_00000075
AMOS_amos_0159
BDMAP_00000076
autoPET_PETCT_6170317f2e
BDMAP_00000077
Decathlon_lung_003
BDMAP_00000078
TotalSegmentator_s0896
BDMAP_00000079
TCIAColon_TCIAColon_0286_0_3
BDMAP_00000080
autoPET_PETCT_2a78eed085
BDMAP_00000081
MSD-Colon_colon_150
BDMAP_00000082
autoPET_PETCT_61348439bf
BDMAP_00000083
Decathlon_liver_59
BDMAP_00000084
autoPET_PETCT_b2f82ed4b9
BDMAP_00000085
TCGA-BLCA_TCGA-BLCA-4Z-AA86_0_3
BDMAP_00000086
Decathlon_pancreas_346
BDMAP_00000087
autoPET_PETCT_d3dac0d1cd
BDMAP_00000088
AMOS_amos_0038
BDMAP_00000089
KiTS19-21_case_00147
BDMAP_00000090
LiTS_liver_38
BDMAP_00000091
FLARE23Val_FLARE23_Ts_0016_0000
BDMAP_00000092
Decathlon_pancreas_348
BDMAP_00000093
Decathlon_hepaticvessel_431
BDMAP_00000094
AbdomenCT-1K_Case_00773_0000
BDMAP_00000095
MSD-Colon_colon_084
BDMAP_00000096
TCIAColon_TCIAColon_0260_0_2
BDMAP_00000097
autoPET_PETCT_90ea6a6aaf
BDMAP_00000098
TCIAColon_TCIAColon_0154_0_2
BDMAP_00000099
LiTS_liver_71
BDMAP_00000100
End of preview.