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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: Couldn't cast array of type
struct<AGGRENOX: int64, LANSOPRAZOLE: int64, ENULOSE: int64, VIMPAT: int64, BUDESONIDE: int64, ROPINIROLE HCL: int64, LATANOPROST: int64, METRONIDAZOLE: int64, HUMULIN N: int64, DILTIAZEM HCL: int64, CARBAMAZEPINE: int64, MORPHINE SULFATE ER: int64, NOVOLIN R: int64, LOSARTAN POTASSIUM: int64, IBANDRONATE SODIUM: int64, ZETIA: int64, FLECAINIDE ACETATE: int64, PANTOPRAZOLE SODIUM: int64, POTASSIUM CHLORIDE: int64, HALOPERIDOL: int64, ALENDRONATE SODIUM: int64, PATADAY: int64, PROMETHAZINE HCL: int64, SPIRONOLACTONE: int64, IPRATROPIUM-ALBUTEROL: int64, SPS: int64, FLUOXETINE HCL: int64, NEXIUM: int64, XARELTO: int64, NITROFURANTOIN MONO-MACRO: int64, FUROSEMIDE: int64, CHLORPROMAZINE HCL: int64, RANITIDINE HCL: int64, TAMSULOSIN HCL: int64, CEFTRIAXONE: int64, OXYBUTYNIN CHLORIDE: int64, BENZTROPINE MESYLATE: int64, KLOR-CON M10: int64, BUMETANIDE: int64, OXAZEPAM: int64, GENTAMICIN SULFATE: int64, LIDODERM: int64, METFORMIN HCL ER: int64, CLOPIDOGREL: int64, OXYCONTIN: int64, BUPROPION XL: int64, SIMVASTATIN: int64, VERAPAMIL ER: int64, PROPRANOLOL HCL: int64, NITROGLYCERIN PATCH: int64, CARAFATE: int64, CLONAZEPAM: int64, PHENYTOIN: int64, LOPERAMIDE: int64, FINASTERIDE: int64, NAMENDA: int64, LUMIGAN: int64, ESCITALOPRAM OXALATE: int64, LIDOCAINE HCL: int64, HYDROCHLOROTHIAZIDE: int64, DOXAZOSIN MESYLATE: int64, HYDROCODONE-ACETAMINOPHEN: int64, DILTIAZEM ER: int64, GLIPIZIDE: int64, DIOVAN: int64, TIZANIDINE HCL: int64, DIGOX: int64, AMLODIPINE BESYLATE: int64, ATORVASTAT
...
t64, GANCICLOVIR SODIUM: int64, ALORA: int64, ZANAFLEX: int64, ORACIT: int64, NALBUPHINE HCL: int64, CLINDAMYCIN PALMITATE HCL: int64, CATAPRES: int64, ENDODAN: int64, DIBENZYLINE: int64, LEVITRA: int64, PROMETHAZINE-DM: int64, FEXOFENADINE HCL: int64, WELLBUTRIN: int64, TEFLARO: int64, CEDAX: int64, PYRAZINAMIDE: int64, DELESTROGEN: int64, OXACILLIN SODIUM: int64, PFIZERPEN: int64, AXERT: int64, CEFEPIME: int64, VANISHPOINT: int64, BLEPHAMIDE: int64, MONONESSA: int64, ALIMTA: int64, VERELAN: int64, ACCOLATE: int64, FORTESTA: int64, AVANDIA: int64, FEMRING: int64, MENOSTAR: int64, MIMVEY: int64, BRIELLYN: int64, TEVETEN: int64, BUPROBAN: int64, ANDROXY: int64, GAMMAKED: int64, ACCUPRIL: int64, CYTARABINE: int64, MYCAMINE: int64, TYZEKA: int64, INDERAL LA: int64, DEFEROXAMINE MESYLATE: int64, BACTROBAN: int64, PHENADOZ: int64, ERIVEDGE: int64, ALINIA: int64, ACZONE: int64, DERMA-SMOOTHE-FS: int64, CEFTAZIDIME: int64, CIPRO: int64, PRINIVIL: int64, CAYSTON: int64, PREDNISOLONE SODIUM PHOSPHATE: int64, ALDACTAZIDE: int64, DILTZAC ER: int64, MEKINIST: int64, TAFINLAR: int64, ZELBORAF: int64, QSYMIA: int64, STALEVO 50: int64, BUPIVACAINE HCL: int64, LEVORPHANOL TARTRATE: int64, TOPCARE ULTRA COMFORT: int64, MYZILRA: int64, VITAL-D RX: int64, MULTIGEN: int64, MINITRAN: int64, CLINIMIX E: int64, COLYTE WITH FLAVOR PACKS: int64, PAMIDRONATE DISODIUM: int64, VERELAN PM: int64, BUDEPRION XL: int64, ZARAH: int64, M-M-R II VACCINE: int64, ERYPED 400: int64, CYTRA-K: int64, ZIPSOR: int64>
to
{'FLUOXETINE HCL': Value(dtype='int64', id=None), 'CLONAZEPAM': Value(dtype='int64', id=None), 'OXYCODONE HCL-ACETAMINOPHEN': Value(dtype='int64', id=None), 'MIRTAZAPINE': Value(dtype='int64', id=None), 'OXYCODONE HCL': Value(dtype='int64', id=None), 'CYMBALTA': Value(dtype='int64', id=None), 'TRAZODONE HCL': Value(dtype='int64', id=None), 'ZOLPIDEM TARTRATE': Value(dtype='int64', id=None), 'CARISOPRODOL': Value(dtype='int64', id=None), 'MORPHINE SULFATE ER': Value(dtype='int64', id=None), 'LIDODERM': Value(dtype='int64', id=None), 'TIZANIDINE HCL': Value(dtype='int64', id=None), 'LYRICA': Value(dtype='int64', id=None), 'OXYMORPHONE HCL ER': Value(dtype='int64', id=None), 'OXYCONTIN': Value(dtype='int64', id=None), 'HYDROCODONE-ACETAMINOPHEN': Value(dtype='int64', id=None), 'FENTANYL': Value(dtype='int64', id=None), 'GABAPENTIN': Value(dtype='int64', id=None), 'BUPROPION XL': Value(dtype='int64', id=None), 'ACETAMINOPHEN-CODEINE': Value(dtype='int64', id=None), 'EXALGO': Value(dtype='int64', id=None), 'MAXALT': Value(dtype='int64', id=None), 'AMOXICILLIN': Value(dtype='int64', id=None), 'FAMOTIDINE': Value(dtype='int64', id=None), 'PERPHENAZINE': Value(dtype='int64', id=None), 'ATORVASTATIN CALCIUM': Value(dtype='int64', id=None), 'NAPROXEN': Value(dtype='int64', id=None), 'OLANZAPINE ODT': Value(dtype='int64', id=None), 'HALOPERIDOL DECANOATE': Value(dtype='int64', id=None), 'ADVAIR DISKUS': Value(dtype='int64', id=None), 'RISPERDAL CONSTA': Value(dtype='int64', id=None), 'B
...
one), 'MULTIVITAMINS W-FLUORIDE-IRON': Value(dtype='int64', id=None), 'VELIVET': Value(dtype='int64', id=None), 'CEFAZOLIN': Value(dtype='int64', id=None), 'NICOTROL NS': Value(dtype='int64', id=None), 'MARINOL': Value(dtype='int64', id=None), 'DOVONEX': Value(dtype='int64', id=None), 'VIOKACE': Value(dtype='int64', id=None), 'SUPRAX': Value(dtype='int64', id=None), 'TETRACYCLINE HCL': Value(dtype='int64', id=None), 'RISPERDAL M-TAB': Value(dtype='int64', id=None), 'ULTRACET': Value(dtype='int64', id=None), 'CLARINEX': Value(dtype='int64', id=None), 'ALINIA': Value(dtype='int64', id=None), 'CORTEF': Value(dtype='int64', id=None), 'FOLTANX': Value(dtype='int64', id=None), 'TWINRIX': Value(dtype='int64', id=None), 'TYPHIM VI': Value(dtype='int64', id=None), 'HAVRIX': Value(dtype='int64', id=None), 'DEXTROSE IN LACTATED RINGERS': Value(dtype='int64', id=None), 'NUTROPIN AQ': Value(dtype='int64', id=None), 'PRED FORTE': Value(dtype='int64', id=None), 'LOESTRIN 24 FE': Value(dtype='int64', id=None), 'ANADROL-50': Value(dtype='int64', id=None), 'MAXZIDE': Value(dtype='int64', id=None), 'VIDEX': Value(dtype='int64', id=None), 'PROCTOFOAM-HC': Value(dtype='int64', id=None), 'NALBUPHINE HCL': Value(dtype='int64', id=None), 'MILLIPRED': Value(dtype='int64', id=None), 'ALKERAN': Value(dtype='int64', id=None), 'TRAVASOL': Value(dtype='int64', id=None), 'CEREFOLIN': Value(dtype='int64', id=None), 'ALDACTONE': Value(dtype='int64', id=None), 'TRANEXAMIC ACID': Value(dtype='int64', id=None)}
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<AGGRENOX: int64, LANSOPRAZOLE: int64, ENULOSE: int64, VIMPAT: int64, BUDESONIDE: int64, ROPINIROLE HCL: int64, LATANOPROST: int64, METRONIDAZOLE: int64, HUMULIN N: int64, DILTIAZEM HCL: int64, CARBAMAZEPINE: int64, MORPHINE SULFATE ER: int64, NOVOLIN R: int64, LOSARTAN POTASSIUM: int64, IBANDRONATE SODIUM: int64, ZETIA: int64, FLECAINIDE ACETATE: int64, PANTOPRAZOLE SODIUM: int64, POTASSIUM CHLORIDE: int64, HALOPERIDOL: int64, ALENDRONATE SODIUM: int64, PATADAY: int64, PROMETHAZINE HCL: int64, SPIRONOLACTONE: int64, IPRATROPIUM-ALBUTEROL: int64, SPS: int64, FLUOXETINE HCL: int64, NEXIUM: int64, XARELTO: int64, NITROFURANTOIN MONO-MACRO: int64, FUROSEMIDE: int64, CHLORPROMAZINE HCL: int64, RANITIDINE HCL: int64, TAMSULOSIN HCL: int64, CEFTRIAXONE: int64, OXYBUTYNIN CHLORIDE: int64, BENZTROPINE MESYLATE: int64, KLOR-CON M10: int64, BUMETANIDE: int64, OXAZEPAM: int64, GENTAMICIN SULFATE: int64, LIDODERM: int64, METFORMIN HCL ER: int64, CLOPIDOGREL: int64, OXYCONTIN: int64, BUPROPION XL: int64, SIMVASTATIN: int64, VERAPAMIL ER: int64, PROPRANOLOL HCL: int64, NITROGLYCERIN PATCH: int64, CARAFATE: int64, CLONAZEPAM: int64, PHENYTOIN: int64, LOPERAMIDE: int64, FINASTERIDE: int64, NAMENDA: int64, LUMIGAN: int64, ESCITALOPRAM OXALATE: int64, LIDOCAINE HCL: int64, HYDROCHLOROTHIAZIDE: int64, DOXAZOSIN MESYLATE: int64, HYDROCODONE-ACETAMINOPHEN: int64, DILTIAZEM ER: int64, GLIPIZIDE: int64, DIOVAN: int64, TIZANIDINE HCL: int64, DIGOX: int64, AMLODIPINE BESYLATE: int64, ATORVASTAT
...
t64, GANCICLOVIR SODIUM: int64, ALORA: int64, ZANAFLEX: int64, ORACIT: int64, NALBUPHINE HCL: int64, CLINDAMYCIN PALMITATE HCL: int64, CATAPRES: int64, ENDODAN: int64, DIBENZYLINE: int64, LEVITRA: int64, PROMETHAZINE-DM: int64, FEXOFENADINE HCL: int64, WELLBUTRIN: int64, TEFLARO: int64, CEDAX: int64, PYRAZINAMIDE: int64, DELESTROGEN: int64, OXACILLIN SODIUM: int64, PFIZERPEN: int64, AXERT: int64, CEFEPIME: int64, VANISHPOINT: int64, BLEPHAMIDE: int64, MONONESSA: int64, ALIMTA: int64, VERELAN: int64, ACCOLATE: int64, FORTESTA: int64, AVANDIA: int64, FEMRING: int64, MENOSTAR: int64, MIMVEY: int64, BRIELLYN: int64, TEVETEN: int64, BUPROBAN: int64, ANDROXY: int64, GAMMAKED: int64, ACCUPRIL: int64, CYTARABINE: int64, MYCAMINE: int64, TYZEKA: int64, INDERAL LA: int64, DEFEROXAMINE MESYLATE: int64, BACTROBAN: int64, PHENADOZ: int64, ERIVEDGE: int64, ALINIA: int64, ACZONE: int64, DERMA-SMOOTHE-FS: int64, CEFTAZIDIME: int64, CIPRO: int64, PRINIVIL: int64, CAYSTON: int64, PREDNISOLONE SODIUM PHOSPHATE: int64, ALDACTAZIDE: int64, DILTZAC ER: int64, MEKINIST: int64, TAFINLAR: int64, ZELBORAF: int64, QSYMIA: int64, STALEVO 50: int64, BUPIVACAINE HCL: int64, LEVORPHANOL TARTRATE: int64, TOPCARE ULTRA COMFORT: int64, MYZILRA: int64, VITAL-D RX: int64, MULTIGEN: int64, MINITRAN: int64, CLINIMIX E: int64, COLYTE WITH FLAVOR PACKS: int64, PAMIDRONATE DISODIUM: int64, VERELAN PM: int64, BUDEPRION XL: int64, ZARAH: int64, M-M-R II VACCINE: int64, ERYPED 400: int64, CYTRA-K: int64, ZIPSOR: int64>
to
{'FLUOXETINE HCL': Value(dtype='int64', id=None), 'CLONAZEPAM': Value(dtype='int64', id=None), 'OXYCODONE HCL-ACETAMINOPHEN': Value(dtype='int64', id=None), 'MIRTAZAPINE': Value(dtype='int64', id=None), 'OXYCODONE HCL': Value(dtype='int64', id=None), 'CYMBALTA': Value(dtype='int64', id=None), 'TRAZODONE HCL': Value(dtype='int64', id=None), 'ZOLPIDEM TARTRATE': Value(dtype='int64', id=None), 'CARISOPRODOL': Value(dtype='int64', id=None), 'MORPHINE SULFATE ER': Value(dtype='int64', id=None), 'LIDODERM': Value(dtype='int64', id=None), 'TIZANIDINE HCL': Value(dtype='int64', id=None), 'LYRICA': Value(dtype='int64', id=None), 'OXYMORPHONE HCL ER': Value(dtype='int64', id=None), 'OXYCONTIN': Value(dtype='int64', id=None), 'HYDROCODONE-ACETAMINOPHEN': Value(dtype='int64', id=None), 'FENTANYL': Value(dtype='int64', id=None), 'GABAPENTIN': Value(dtype='int64', id=None), 'BUPROPION XL': Value(dtype='int64', id=None), 'ACETAMINOPHEN-CODEINE': Value(dtype='int64', id=None), 'EXALGO': Value(dtype='int64', id=None), 'MAXALT': Value(dtype='int64', id=None), 'AMOXICILLIN': Value(dtype='int64', id=None), 'FAMOTIDINE': Value(dtype='int64', id=None), 'PERPHENAZINE': Value(dtype='int64', id=None), 'ATORVASTATIN CALCIUM': Value(dtype='int64', id=None), 'NAPROXEN': Value(dtype='int64', id=None), 'OLANZAPINE ODT': Value(dtype='int64', id=None), 'HALOPERIDOL DECANOATE': Value(dtype='int64', id=None), 'ADVAIR DISKUS': Value(dtype='int64', id=None), 'RISPERDAL CONSTA': Value(dtype='int64', id=None), 'B
...
one), 'MULTIVITAMINS W-FLUORIDE-IRON': Value(dtype='int64', id=None), 'VELIVET': Value(dtype='int64', id=None), 'CEFAZOLIN': Value(dtype='int64', id=None), 'NICOTROL NS': Value(dtype='int64', id=None), 'MARINOL': Value(dtype='int64', id=None), 'DOVONEX': Value(dtype='int64', id=None), 'VIOKACE': Value(dtype='int64', id=None), 'SUPRAX': Value(dtype='int64', id=None), 'TETRACYCLINE HCL': Value(dtype='int64', id=None), 'RISPERDAL M-TAB': Value(dtype='int64', id=None), 'ULTRACET': Value(dtype='int64', id=None), 'CLARINEX': Value(dtype='int64', id=None), 'ALINIA': Value(dtype='int64', id=None), 'CORTEF': Value(dtype='int64', id=None), 'FOLTANX': Value(dtype='int64', id=None), 'TWINRIX': Value(dtype='int64', id=None), 'TYPHIM VI': Value(dtype='int64', id=None), 'HAVRIX': Value(dtype='int64', id=None), 'DEXTROSE IN LACTATED RINGERS': Value(dtype='int64', id=None), 'NUTROPIN AQ': Value(dtype='int64', id=None), 'PRED FORTE': Value(dtype='int64', id=None), 'LOESTRIN 24 FE': Value(dtype='int64', id=None), 'ANADROL-50': Value(dtype='int64', id=None), 'MAXZIDE': Value(dtype='int64', id=None), 'VIDEX': Value(dtype='int64', id=None), 'PROCTOFOAM-HC': Value(dtype='int64', id=None), 'NALBUPHINE HCL': Value(dtype='int64', id=None), 'MILLIPRED': Value(dtype='int64', id=None), 'ALKERAN': Value(dtype='int64', id=None), 'TRAVASOL': Value(dtype='int64', id=None), 'CEREFOLIN': Value(dtype='int64', id=None), 'ALDACTONE': Value(dtype='int64', id=None), 'TRANEXAMIC ACID': Value(dtype='int64', id=None)}
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1529, 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 1154, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2038, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
cms_prescription_counts dict | provider_variables dict | npi string |
|---|---|---|
{
"MEGESTROL ACETATE": 11,
"FAMOTIDINE": null,
"ENALAPRIL MALEATE": null,
"HYDRALAZINE HCL": 50,
"AMMONIUM LACTATE": null,
"AZOR": null,
"SOLARAZE": null,
"NAPROXEN": null,
"BENICAR HCT": null,
"CELEBREX": null,
"METFORMIN HCL": null,
"DILTIAZEM HCL": null,
"VENTOLIN HFA": null,
"ZETIA": nul... | {
"settlement_type": "non-urban",
"generic_rx_count": 2287,
"specialty": "Nephrology",
"years_practicing": 7,
"gender": "M",
"region": "South",
"brand_name_rx_count": 384
} | 1295763035 |
{
"MEGESTROL ACETATE": null,
"FAMOTIDINE": null,
"ENALAPRIL MALEATE": null,
"HYDRALAZINE HCL": null,
"AMMONIUM LACTATE": null,
"AZOR": null,
"SOLARAZE": null,
"NAPROXEN": null,
"BENICAR HCT": null,
"CELEBREX": null,
"METFORMIN HCL": null,
"DILTIAZEM HCL": null,
"VENTOLIN HFA": null,
"ZETIA":... | {
"settlement_type": "non-urban",
"generic_rx_count": 103,
"specialty": "General Practice",
"years_practicing": 7,
"gender": "M",
"region": "South",
"brand_name_rx_count": 0
} | 1992715205 |
{
"MEGESTROL ACETATE": null,
"FAMOTIDINE": null,
"ENALAPRIL MALEATE": null,
"HYDRALAZINE HCL": null,
"AMMONIUM LACTATE": null,
"AZOR": null,
"SOLARAZE": null,
"NAPROXEN": null,
"BENICAR HCT": null,
"CELEBREX": null,
"METFORMIN HCL": null,
"DILTIAZEM HCL": null,
"VENTOLIN HFA": null,
"ZETIA":... | {
"settlement_type": "non-urban",
"generic_rx_count": 112,
"specialty": "General Practice",
"years_practicing": 7,
"gender": "M",
"region": "Midwest",
"brand_name_rx_count": 0
} | 1578587630 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":null,"ENALAPRIL MALEATE":null,"HYDRALAZINE HCL":null,"AMMONIU(...TRUNCATED) | {"settlement_type":"non-urban","generic_rx_count":63,"specialty":"General Practice","years_practicin(...TRUNCATED) | 1932278405 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":null,"ENALAPRIL MALEATE":17,"HYDRALAZINE HCL":12,"AMMONIUM LA(...TRUNCATED) | {"settlement_type":"non-urban","generic_rx_count":1035,"specialty":"Nephrology","years_practicing":6(...TRUNCATED) | 1437366804 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":null,"ENALAPRIL MALEATE":null,"HYDRALAZINE HCL":null,"AMMONIU(...TRUNCATED) | {"settlement_type":"urban","generic_rx_count":143,"specialty":"General Practice","years_practicing":(...TRUNCATED) | 1831265941 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":null,"ENALAPRIL MALEATE":null,"HYDRALAZINE HCL":null,"AMMONIU(...TRUNCATED) | {"settlement_type":"urban","generic_rx_count":56,"specialty":"General Practice","years_practicing":4(...TRUNCATED) | 1477882728 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":null,"ENALAPRIL MALEATE":null,"HYDRALAZINE HCL":null,"AMMONIU(...TRUNCATED) | {"settlement_type":"urban","generic_rx_count":17,"specialty":"Endodontics","years_practicing":5,"gen(...TRUNCATED) | 1992954457 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":12,"ENALAPRIL MALEATE":25,"HYDRALAZINE HCL":null,"AMMONIUM LA(...TRUNCATED) | {"settlement_type":"urban","generic_rx_count":2452,"specialty":"Gastroenterology","years_practicing"(...TRUNCATED) | 1316196462 |
{"MEGESTROL ACETATE":null,"FAMOTIDINE":null,"ENALAPRIL MALEATE":null,"HYDRALAZINE HCL":null,"AMMONIU(...TRUNCATED) | {"settlement_type":"non-urban","generic_rx_count":27,"specialty":"General Practice","years_practicin(...TRUNCATED) | 1073520300 |
End of preview.
Dataset Card for Prescription-based prediction
Dataset Summary
This is the dataset used in the Roam blog post Prescription-based prediction. It is derived from a variety of US open health datasets, but the bulk of the data points come from the Medicare Part D dataset and the National Provider Identifier dataset.
The prescription vector for each doctor tells a rich story about that doctor's attributes, including specialty, gender, age, and region. There are 239,930 doctors in the dataset.
The file is in JSONL format (one JSON record per line):
{
'provider_variables':
{
'brand_name_rx_count': int,
'gender': 'M' or 'F',
'generic_rx_count': int,
'region': 'South' or 'MidWest' or 'Northeast' or 'West',
'settlement_type': 'non-urban' or 'urban'
'specialty': str
'years_practicing': int
},
'npi': str,
'cms_prescription_counts':
{
`drug_name`: int,
`drug_name`: int,
...
}
}
The brand/generic classifications behind brand_name_rx_count and generic_rx_count are defined heuristically.
For more details, see the blog post or go directly to the associated code.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
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Data Fields
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Data Splits
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Dataset Creation
Curation Rationale
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Source Data
Initial Data Collection and Normalization
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Who are the source language producers?
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Annotations
Annotation process
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Who are the annotators?
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Personal and Sensitive Information
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Considerations for Using the Data
Social Impact of Dataset
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Discussion of Biases
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Other Known Limitations
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Additional Information
Dataset Curators
This dataset was shared by @roamresearch
Licensing Information
The license for this dataset is cc-by-nc-sa-4.0
Citation Information
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Contributions
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