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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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