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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 1 new columns ({'name_he'})

This happened while the json dataset builder was generating data using

hf://datasets/nadavWeisler/medcode-vocabularies/icd9.json (at revision 2bf02ab5b2aaea186d746537b19e771ae738b3ec), [/tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/atc5.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/atc5.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/cvx.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/cvx.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/hcpcs.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/hcpcs.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd10.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd10.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd9.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd9.json)], ['hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/atc5.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/cvx.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/hcpcs.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd10.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd9.json']

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              code: string
              name_en: string
              name_he: string
              to
              {'code': Value('string'), 'name_en': Value('string')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1802, 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 1 new columns ({'name_he'})
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/nadavWeisler/medcode-vocabularies/icd9.json (at revision 2bf02ab5b2aaea186d746537b19e771ae738b3ec), [/tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/atc5.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/atc5.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/cvx.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/cvx.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/hcpcs.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/hcpcs.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd10.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd10.json), /tmp/hf-datasets-cache/medium/datasets/76142018241095-config-parquet-and-info-nadavWeisler-medcode-voca-dc442666/hub/datasets--nadavWeisler--medcode-vocabularies/snapshots/2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd9.json (origin=hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd9.json)], ['hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/atc5.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/cvx.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/hcpcs.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd10.json', 'hf://datasets/nadavWeisler/medcode-vocabularies@2bf02ab5b2aaea186d746537b19e771ae738b3ec/icd9.json']
              
              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.

code
string
name_en
string
A01AA01
Sodium fluoride
A01AA02
Sodium monofluorophosphate
A01AA03
Olaflur
A01AA04
Stannous fluoride
A01AA30
Combinations
A01AA51
Sodium fluoride, combinations
A01AB02
Hydrogen peroxide
A01AB03
Chlorhexidine
A01AB04
Amphotericin B
A01AB05
Polynoxylin
A01AB06
Domiphen
A01AB07
Oxyquinoline
A01AB08
Neomycin
A01AB09
Miconazole
A01AB10
Natamycin
A01AB11
Various
A01AB12
Hexetidine
A01AB13
Tetracycline
A01AB14
Benzoxonium chloride
A01AB15
Tibezonium iodide
A01AB16
Mepartricin
A01AB17
Metronidazole
A01AB18
Clotrimazole
A01AB19
Sodium perborate
A01AB21
Chlortetracycline
A01AB22
Doxycycline
A01AB23
Minocycline
A01AB24
Octenidine
A01AB25
Oxytetracycline
A01AB53
Chlorhexidine and cetylpyridinium
A01AC01
Triamcinolone
A01AC02
Dexamethasone
A01AC03
Hydrocortisone
A01AC04
Prednisolone
A01AC54
Prednisolone, combinations
A01AD01
Epinephrine
A01AD02
Benzydamine
A01AD05
Acetylsalicylic acid
A01AD06
Adrenalone
A01AD07
Amlexanox
A01AD08
Becaplermin
A01AD11
Various
A02AA01
Magnesium carbonate
A02AA02
Magnesium oxide
A02AA03
Magnesium peroxide
A02AA04
Magnesium hydroxide
A02AA05
Magnesium silicate
A02AA10
Combinations
A02AB01
Aluminium hydroxide
A02AB02
Algeldrate
A02AB03
Aluminium phosphate
A02AB04
Dihydroxialumini sodium carbonate
A02AB05
Aluminium acetoacetate
A02AB06
Aloglutamol
A02AB07
Aluminium glycinate
A02AB10
Combinations
A02AC01
Calcium carbonate
A02AC02
Calcium silicate
A02AC10
Combinations
A02AD01
Ordinary salt combinations
A02AD02
Magaldrate
A02AD03
Almagate
A02AD04
Hydrotalcite
A02AD05
Almasilate
A02AF01
Magaldrate and antiflatulents
A02AF02
Ordinary salt combinations and antiflatulents
A02BA01
Cimetidine
A02BA02
Ranitidine
A02BA03
Famotidine
A02BA04
Nizatidine
A02BA05
Niperotidine
A02BA06
Roxatidine
A02BA07
Ranitidine bismuth citrate
A02BA08
Lafutidine
A02BA51
Cimetidine, combinations
A02BA53
Famotidine, combinations
A02BB01
Misoprostol
A02BB02
Enprostil
A02BC01
Omeprazole
A02BC02
Pantoprazole
A02BC03
Lansoprazole
A02BC04
Rabeprazole
A02BC05
Esomeprazole
A02BC06
Dexlansoprazole
A02BC07
Dexrabeprazole
A02BC08
Vonoprazan
A02BC09
Tegoprazan
A02BC10
Fexuprazan
A02BC11
Ilaprazole
A02BC51
Omeprazole, combinations
A02BC53
Lansoprazole, combinations
A02BC54
Rabeprazole, combinations
A02BD01
Omeprazole, amoxicillin and metronidazole
A02BD02
Lansoprazole, tetracycline and metronidazole
A02BD03
Lansoprazole, amoxicillin and metronidazole
A02BD04
Pantoprazole, amoxicillin and clarithromycin
A02BD05
Omeprazole, amoxicillin and clarithromycin
A02BD06
Esomeprazole, amoxicillin and clarithromycin
A02BD07
Lansoprazole, amoxicillin and clarithromycin
A02BD08
Bismuth subcitrate, tetracycline and metronidazole
End of preview.

MedCode Vocabularies

Structured biomedical terminology datasets powering MedCodeTranslator — an open-source biomedical terminology retrieval platform.

Dataset Description

A collection of standardised medical code systems in a unified JSON format, ready for use in retrieval, search indexing, NLP pipelines, and clinical terminology mapping.

Included Vocabularies

Only freely redistributable datasets are hosted here. Restricted schemes (LOINC, ICD-11, CPT) are bundled as small curated subsets in the app.

File Scheme Records License Source
icd10.json ICD-10-CM 74,260 Public domain (US federal) CMS 2025 tabular-order ZIP
icd9.json ICD-9-CM 14,567 Public domain (US federal) CMS ICD-9-CM v32 XLSX
atc5.json ATC level-5 5,579 CC BY-SA 4.0 ChEMBL / EBI API
hcpcs.json HCPCS Level II 8,303 Public domain (US federal) CMS via NLM Clinical Tables API
cvx.json CVX 289 Public domain (US federal) CDC IIS Standards

Not included (license required):

Schema

Each file contains a JSON array of objects:

[
  { "code": "F20.0", "name_en": "Paranoid schizophrenia" },
  { "code": "F20.1", "name_en": "Disorganized schizophrenia" }
]

Fields:

  • code — the official terminology code (string)
  • name_en — English description (string)
  • name_he — Hebrew description (string, optional — present only where available)

Usage

import requests

url = "https://huggingface.co/datasets/nadavweisler/medcode-vocabularies/resolve/main/icd10.json"
data = requests.get(url).json()
print(f"Loaded {len(data)} ICD-10 codes")
# Loaded 74260 ICD-10 codes
from datasets import load_dataset

ds = load_dataset("nadavweisler/medcode-vocabularies", data_files="icd10.json", split="train")
print(ds[0])
# {'code': 'A00', 'name_en': 'Cholera', 'name_he': None}

Data Sources & Licenses

Scheme Source License
ICD-10-CM CMS Public domain (US federal)
ICD-9-CM CMS Public domain (US federal)
ATC5 ChEMBL/EBI CC BY-SA 4.0
HCPCS CMS via NLM Public domain (US federal)
CVX CDC Public domain (US federal)

Citation

@misc{medcodetranslator2025,
  title={MedCodeTranslator: Open-source Biomedical Terminology Retrieval},
  author={Weisler, Nadav},
  year={2025},
  url={https://github.com/nadavWeisler/MedCodeTranslator}
}
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