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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 3 new columns ({'CUI1', 'CUI2', 'REL'}) and 2 missing columns ({'CUI', 'STR'}).
This happened while the csv dataset builder was generating data using
hf://datasets/shahidul034/demo-data/MRREL_filtered.csv (at revision 542769769f83ecc812eca66d8bcd95916e74a495)
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 623, 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
CUI1: string
CUI2: string
REL: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 585
to
{'CUI': Value(dtype='string', id=None), 'STR': 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 1438, 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 3 new columns ({'CUI1', 'CUI2', 'REL'}) and 2 missing columns ({'CUI', 'STR'}).
This happened while the csv dataset builder was generating data using
hf://datasets/shahidul034/demo-data/MRREL_filtered.csv (at revision 542769769f83ecc812eca66d8bcd95916e74a495)
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.
CUI
string | STR
string |
|---|---|
C1527281
|
Separation anxiety disorder
|
C0004443
|
Avoidant disorder of childhood or adolescence
|
C0011251
|
Delusional disorder
|
C0028768
|
Obsessive compulsive neurosis
|
C0009946
|
Hysterical neurosis, conversion type
|
C0041672
|
Undifferentiated somatoform disorder
|
C0015478
|
Factitious disorder with physical symptoms
|
C0555026
|
Marital problem
|
C0376405
|
Noncompliance with medical treatment
|
C0030540
|
Parent-child problem
|
C0029646
|
Other interpersonal problem
|
C0684255
|
Uncomplicated bereavement
|
C1090821
|
Sepsis
|
C0178496
|
Food poisoning, bacterial
|
C0275589
|
Food poisoning, bacillus cereus
|
C0275592
|
Food poisoning, streptococcal
|
C1306220
|
Leptospirosis, Fort Bragg
|
C0026918
|
Mycobacterial infectious disease
|
C0026919
|
Mycobacterial infection, atypical
|
C0026936
|
Disease caused by mycoplasma
|
C0041473
|
Typhus, louse-borne
|
C0001338
|
Acute necrotizing encephalitis, herpetic
|
C0013533
|
Enterovirus echo infection
|
C0153065
|
Equine encephalitis, Eastern (EEE)
|
C0014078
|
Equine encephalitis, Venezuelan (VEE)
|
C0153064
|
Equine encephalitis, Western (WEE)
|
C0019348
|
Herpes simplex virus infection
|
C0030364
|
Papovavirus infection
|
C0035112
|
Reovirus infection
|
C0035861
|
Roseola vaccinatum
|
C0035921
|
Rubella syndrome, gestational
|
C0014060
|
St. Louis encephalitis (SLE)
|
C0037341
|
Slow virus disease
|
C0037357
|
Smallpox, hemorrhagic
|
C0037358
|
Smallpox, modified
|
C0038522
|
Subacute sclerosing panencephalitis (SSPE)
|
C0041189
|
Tropical suppurative parotitis
|
C0042215
|
Vaccinia gangrenosa
|
C0042217
|
Vaccinia, generalized
|
C0043398
|
Yellow fever, urban
|
C0042721
|
Viral hepatitis
|
C0019163
|
Viral hepatitis, type B
|
C0019196
|
Viral hepatitis, non-A, non-B
|
C0019176
|
Hepatitis disease or syndrome
|
C0001142
|
Acladiosis
|
C0040255
|
Tinea imbricata
|
C0030499
|
Disease caused by parasite
|
C3489414
|
Acanthocheilonema perstans infection
|
C0012517
|
Acanthocheilonema perstans infection
|
C0392663
|
Filariasis, Bancroftian
|
C0016089
|
Filariasis, Ozzardian
|
C0019388
|
Herring parasite disease
|
C0024536
|
Malaria, quartan
|
C0036332
|
Schistosomiasis, cardiopulmonary
|
C0036330
|
Schistosoma mansonii infection
|
C0036334
|
Schistosomiasis, pulmonary
|
C0041232
|
Trypanosomiasis, Gambian
|
C0041233
|
Trypanosomiasis, Rhodesian
|
C0023285
|
Leishmaniasis, cutaneous, Asian desert
|
C3495436
|
Leishmaniasis, cutaneous, American
|
C0023286
|
Leishmaniasis, cutaneous, disseminated
|
C0023287
|
Leishmaniasis, disseminated anergic
|
C3542501
|
Infectious neuronitis
|
C0011992
|
Summer diarrhea of infants
|
C0085569
|
Acidosis, hyperchloremic
|
C0085570
|
Alkalosis, hypokalemic
|
C0151723
|
Hypomagnesemia syndrome
|
C0017927
|
Glycogen storage disease, type VIII
|
C0023817
|
Hyperlipoproteinemia, Frederickson type I
|
C0020479
|
Hyperlipoproteinemia, Frederickson type III
|
C0020481
|
Hyperlipoproteinemia, Frederickson type V
|
C0043208
|
Familial xanthomatosis with adrenal involvement
|
C0039373
|
GM2 gangliosidosis, type I
|
C0036161
|
GM2 gangliosidosis, type II
|
C0022340
|
Neuronal lipofuscinosis, infantile
|
C0039841
|
Thiamine deficiency disease
|
C0035528
|
Riboflavin deficiency disease
|
C4317126
|
Niacin deficiency disease
|
C0003969
|
Vitamin C deficiency disease
|
C0035579
|
Vitamin D deficiency disease
|
C2363065
|
Rickets, vitamin D resistant
|
C0009207
|
Cockayne's syndrome
|
C0021141
|
Inappropriate anti-diuretic hormone syndrome
|
C0271557
|
Hypopituitarism, secondary
|
C0016724
|
Adiposogenital dystrophy syndrome
|
C0027577
|
Nelson's syndrome
|
C0342122
|
Toxic diffuse goiter
|
C0001621
|
Disease of adrenal gland
|
C0001614
|
Disease of adrenal cortex
|
C0300942
|
Adrenocortical insufficiency syndrome, chronic
|
C0011880
|
Diabetic keto-acidosis
|
C0242342
|
Postpartum pituitary necrosis syndrome
|
C0006145
|
Disease of breast
|
C0025267
|
Multiple endocrine adenomatosis, type I
|
C0025268
|
Multiple endocrine adenomatosis, type IIa
|
C0029412
|
Osteoarthropathy, hypertrophic, secondary
|
C0020494
|
Stewart-Morel-Morgagni syndrome
|
C0022408
|
Disease of joint
|
C0032533
|
Polymyalgia rheumatica syndrome
|
C2745963
|
Osteoarthritis deformans
|
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