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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)

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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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