Datasets:

dafesmi
/

medical-ehr-training-data

query stringlengths 23 54	expected_answer stringlengths 21 76	expected_strategy stringclasses 1 value	expected_snomed_codes listlengths 1 3	expected_demographics dict	expected_neo4j_count int64 8 156	query_complexity stringclasses 1 value	medical_category stringclasses 8 values	expected_excluded_conditions listlengths 0 0
Find patients with memory issues	Found 21 patients with memory issues (SNOMED: 26929004, 230265002, 52448006)	ENRICHMENT	[ "26929004", "230265002", "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	21	simple	neurological	[]
How many patients have memory issues?	21 patients have memory issues	ENRICHMENT	[ "26929004", "230265002", "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	21	simple	neurological	[]
List all patients diagnosed with memory issues	Patient list for memory issues: 21 total patients	ENRICHMENT	[ "26929004", "230265002", "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	21	simple	neurological	[]
Show me patients who have memory issues	Displaying 21 patients with memory issues	ENRICHMENT	[ "26929004", "230265002", "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	21	simple	neurological	[]
Give me a list of patients with memory issues	Patient list: 21 patients with memory issues	ENRICHMENT	[ "26929004", "230265002", "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	21	simple	neurological	[]
Find patients with Alzheimer's disease	Found 18 patients with Alzheimer's disease (SNOMED: 26929004)	ENRICHMENT	[ "26929004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	neurological	[]
How many patients have Alzheimer's disease?	18 patients have Alzheimer's disease	ENRICHMENT	[ "26929004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	neurological	[]
List all patients diagnosed with Alzheimer's disease	Patient list for Alzheimer's disease: 18 total patients	ENRICHMENT	[ "26929004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	neurological	[]
Show me patients who have Alzheimer's disease	Displaying 18 patients with Alzheimer's disease	ENRICHMENT	[ "26929004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	neurological	[]
Give me a list of patients with Alzheimer's disease	Patient list: 18 patients with Alzheimer's disease	ENRICHMENT	[ "26929004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	neurological	[]
Find patients with dementia	Found 23 patients with dementia (SNOMED: 52448006)	ENRICHMENT	[ "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	23	simple	neurological	[]
How many patients have dementia?	23 patients have dementia	ENRICHMENT	[ "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	23	simple	neurological	[]
List all patients diagnosed with dementia	Patient list for dementia: 23 total patients	ENRICHMENT	[ "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	23	simple	neurological	[]
Show me patients who have dementia	Displaying 23 patients with dementia	ENRICHMENT	[ "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	23	simple	neurological	[]
Give me a list of patients with dementia	Patient list: 23 patients with dementia	ENRICHMENT	[ "52448006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	23	simple	neurological	[]
Find patients with stroke	Found 15 patients with stroke (SNOMED: 230690007)	ENRICHMENT	[ "230690007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	15	simple	neurological	[]
How many patients have stroke?	15 patients have stroke	ENRICHMENT	[ "230690007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	15	simple	neurological	[]
List all patients diagnosed with stroke	Patient list for stroke: 15 total patients	ENRICHMENT	[ "230690007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	15	simple	neurological	[]
Show me patients who have stroke	Displaying 15 patients with stroke	ENRICHMENT	[ "230690007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	15	simple	neurological	[]
Give me a list of patients with stroke	Patient list: 15 patients with stroke	ENRICHMENT	[ "230690007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	15	simple	neurological	[]
Find patients with Parkinson's disease	Found 8 patients with Parkinson's disease (SNOMED: 49049000)	ENRICHMENT	[ "49049000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	8	simple	neurological	[]
How many patients have Parkinson's disease?	8 patients have Parkinson's disease	ENRICHMENT	[ "49049000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	8	simple	neurological	[]
List all patients diagnosed with Parkinson's disease	Patient list for Parkinson's disease: 8 total patients	ENRICHMENT	[ "49049000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	8	simple	neurological	[]
Show me patients who have Parkinson's disease	Displaying 8 patients with Parkinson's disease	ENRICHMENT	[ "49049000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	8	simple	neurological	[]
Give me a list of patients with Parkinson's disease	Patient list: 8 patients with Parkinson's disease	ENRICHMENT	[ "49049000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	8	simple	neurological	[]
Find patients with headache	Found 45 patients with headache (SNOMED: 25064002)	ENRICHMENT	[ "25064002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	45	simple	neurological	[]
How many patients have headache?	45 patients have headache	ENRICHMENT	[ "25064002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	45	simple	neurological	[]
List all patients diagnosed with headache	Patient list for headache: 45 total patients	ENRICHMENT	[ "25064002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	45	simple	neurological	[]
Show me patients who have headache	Displaying 45 patients with headache	ENRICHMENT	[ "25064002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	45	simple	neurological	[]
Give me a list of patients with headache	Patient list: 45 patients with headache	ENRICHMENT	[ "25064002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	45	simple	neurological	[]
Find patients with migraine	Found 28 patients with migraine (SNOMED: 37796009)	ENRICHMENT	[ "37796009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	28	simple	neurological	[]
How many patients have migraine?	28 patients have migraine	ENRICHMENT	[ "37796009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	28	simple	neurological	[]
List all patients diagnosed with migraine	Patient list for migraine: 28 total patients	ENRICHMENT	[ "37796009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	28	simple	neurological	[]
Show me patients who have migraine	Displaying 28 patients with migraine	ENRICHMENT	[ "37796009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	28	simple	neurological	[]
Give me a list of patients with migraine	Patient list: 28 patients with migraine	ENRICHMENT	[ "37796009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	28	simple	neurological	[]
Find patients with seizure	Found 12 patients with seizure (SNOMED: 91175000)	ENRICHMENT	[ "91175000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	12	simple	neurological	[]
How many patients have seizure?	12 patients have seizure	ENRICHMENT	[ "91175000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	12	simple	neurological	[]
List all patients diagnosed with seizure	Patient list for seizure: 12 total patients	ENRICHMENT	[ "91175000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	12	simple	neurological	[]
Show me patients who have seizure	Displaying 12 patients with seizure	ENRICHMENT	[ "91175000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	12	simple	neurological	[]
Give me a list of patients with seizure	Patient list: 12 patients with seizure	ENRICHMENT	[ "91175000" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	12	simple	neurological	[]
Find patients with chest pain	Found 67 patients with chest pain (SNOMED: 29857009)	ENRICHMENT	[ "29857009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	67	simple	cardiovascular	[]
How many patients have chest pain?	67 patients have chest pain	ENRICHMENT	[ "29857009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	67	simple	cardiovascular	[]
List all patients diagnosed with chest pain	Patient list for chest pain: 67 total patients	ENRICHMENT	[ "29857009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	67	simple	cardiovascular	[]
Show me patients who have chest pain	Displaying 67 patients with chest pain	ENRICHMENT	[ "29857009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	67	simple	cardiovascular	[]
Give me a list of patients with chest pain	Patient list: 67 patients with chest pain	ENRICHMENT	[ "29857009" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	67	simple	cardiovascular	[]
Find patients with shortness of breath	Found 89 patients with shortness of breath (SNOMED: 267036007)	ENRICHMENT	[ "267036007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	89	simple	cardiovascular	[]
How many patients have shortness of breath?	89 patients have shortness of breath	ENRICHMENT	[ "267036007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	89	simple	cardiovascular	[]
List all patients diagnosed with shortness of breath	Patient list for shortness of breath: 89 total patients	ENRICHMENT	[ "267036007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	89	simple	cardiovascular	[]
Show me patients who have shortness of breath	Displaying 89 patients with shortness of breath	ENRICHMENT	[ "267036007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	89	simple	cardiovascular	[]
Give me a list of patients with shortness of breath	Patient list: 89 patients with shortness of breath	ENRICHMENT	[ "267036007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	89	simple	cardiovascular	[]
Find patients with hypertension	Found 156 patients with hypertension (SNOMED: 38341003)	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
How many patients have hypertension?	156 patients have hypertension	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
List all patients diagnosed with hypertension	Patient list for hypertension: 156 total patients	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
Show me patients who have hypertension	Displaying 156 patients with hypertension	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
Give me a list of patients with hypertension	Patient list: 156 patients with hypertension	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
Find patients with high blood pressure	Found 156 patients with high blood pressure (SNOMED: 38341003)	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
How many patients have high blood pressure?	156 patients have high blood pressure	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
List all patients diagnosed with high blood pressure	Patient list for high blood pressure: 156 total patients	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
Show me patients who have high blood pressure	Displaying 156 patients with high blood pressure	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
Give me a list of patients with high blood pressure	Patient list: 156 patients with high blood pressure	ENRICHMENT	[ "38341003" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	156	simple	cardiovascular	[]
Find patients with heart failure	Found 34 patients with heart failure (SNOMED: 84114007)	ENRICHMENT	[ "84114007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	34	simple	cardiovascular	[]
How many patients have heart failure?	34 patients have heart failure	ENRICHMENT	[ "84114007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	34	simple	cardiovascular	[]
List all patients diagnosed with heart failure	Patient list for heart failure: 34 total patients	ENRICHMENT	[ "84114007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	34	simple	cardiovascular	[]
Show me patients who have heart failure	Displaying 34 patients with heart failure	ENRICHMENT	[ "84114007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	34	simple	cardiovascular	[]
Give me a list of patients with heart failure	Patient list: 34 patients with heart failure	ENRICHMENT	[ "84114007" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	34	simple	cardiovascular	[]
Find patients with palpitations	Found 42 patients with palpitations (SNOMED: 80313002)	ENRICHMENT	[ "80313002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	42	simple	cardiovascular	[]
How many patients have palpitations?	42 patients have palpitations	ENRICHMENT	[ "80313002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	42	simple	cardiovascular	[]
List all patients diagnosed with palpitations	Patient list for palpitations: 42 total patients	ENRICHMENT	[ "80313002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	42	simple	cardiovascular	[]
Show me patients who have palpitations	Displaying 42 patients with palpitations	ENRICHMENT	[ "80313002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	42	simple	cardiovascular	[]
Give me a list of patients with palpitations	Patient list: 42 patients with palpitations	ENRICHMENT	[ "80313002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	42	simple	cardiovascular	[]
Find patients with atrial fibrillation	Found 29 patients with atrial fibrillation (SNOMED: 49436004)	ENRICHMENT	[ "49436004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	29	simple	cardiovascular	[]
How many patients have atrial fibrillation?	29 patients have atrial fibrillation	ENRICHMENT	[ "49436004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	29	simple	cardiovascular	[]
List all patients diagnosed with atrial fibrillation	Patient list for atrial fibrillation: 29 total patients	ENRICHMENT	[ "49436004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	29	simple	cardiovascular	[]
Show me patients who have atrial fibrillation	Displaying 29 patients with atrial fibrillation	ENRICHMENT	[ "49436004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	29	simple	cardiovascular	[]
Give me a list of patients with atrial fibrillation	Patient list: 29 patients with atrial fibrillation	ENRICHMENT	[ "49436004" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	29	simple	cardiovascular	[]
Find patients with myocardial infarction	Found 18 patients with myocardial infarction (SNOMED: 22298006)	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
How many patients have myocardial infarction?	18 patients have myocardial infarction	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
List all patients diagnosed with myocardial infarction	Patient list for myocardial infarction: 18 total patients	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
Show me patients who have myocardial infarction	Displaying 18 patients with myocardial infarction	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
Give me a list of patients with myocardial infarction	Patient list: 18 patients with myocardial infarction	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
Find patients with heart attack	Found 18 patients with heart attack (SNOMED: 22298006)	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
How many patients have heart attack?	18 patients have heart attack	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
List all patients diagnosed with heart attack	Patient list for heart attack: 18 total patients	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
Show me patients who have heart attack	Displaying 18 patients with heart attack	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
Give me a list of patients with heart attack	Patient list: 18 patients with heart attack	ENRICHMENT	[ "22298006" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	18	simple	cardiovascular	[]
Find patients with cough	Found 78 patients with cough (SNOMED: 49727002)	ENRICHMENT	[ "49727002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	78	simple	respiratory	[]
How many patients have cough?	78 patients have cough	ENRICHMENT	[ "49727002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	78	simple	respiratory	[]
List all patients diagnosed with cough	Patient list for cough: 78 total patients	ENRICHMENT	[ "49727002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	78	simple	respiratory	[]
Show me patients who have cough	Displaying 78 patients with cough	ENRICHMENT	[ "49727002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	78	simple	respiratory	[]
Give me a list of patients with cough	Patient list: 78 patients with cough	ENRICHMENT	[ "49727002" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	78	simple	respiratory	[]
Find patients with asthma	Found 41 patients with asthma (SNOMED: 195967001)	ENRICHMENT	[ "195967001" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	41	simple	respiratory	[]
How many patients have asthma?	41 patients have asthma	ENRICHMENT	[ "195967001" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	41	simple	respiratory	[]
List all patients diagnosed with asthma	Patient list for asthma: 41 total patients	ENRICHMENT	[ "195967001" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	41	simple	respiratory	[]
Show me patients who have asthma	Displaying 41 patients with asthma	ENRICHMENT	[ "195967001" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	41	simple	respiratory	[]
Give me a list of patients with asthma	Patient list: 41 patients with asthma	ENRICHMENT	[ "195967001" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	41	simple	respiratory	[]
Find patients with COPD	Found 31 patients with COPD (SNOMED: 13645005)	ENRICHMENT	[ "13645005" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	31	simple	respiratory	[]
How many patients have COPD?	31 patients have COPD	ENRICHMENT	[ "13645005" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	31	simple	respiratory	[]
List all patients diagnosed with COPD	Patient list for COPD: 31 total patients	ENRICHMENT	[ "13645005" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	31	simple	respiratory	[]
Show me patients who have COPD	Displaying 31 patients with COPD	ENRICHMENT	[ "13645005" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	31	simple	respiratory	[]
Give me a list of patients with COPD	Patient list: 31 patients with COPD	ENRICHMENT	[ "13645005" ]	{ "age_filter": "", "filter": "", "gender_filter": "" }	31	simple	respiratory	[]

End of preview. Expand in Data Studio

Medical EHR Training Dataset

Training dataset for Medical EHR GEPA-optimized module.

Dataset Description

This dataset contains 382 medical EHR query examples for training DSPy GEPA optimization.

Dataset Structure

{
  "query": "Show me diabetic patients",
  "expected_strategy": "ENRICHMENT",
  "expected_snomed_codes": ["73211009", "44054006"],
  "expected_neo4j_count": 15,
  "query_complexity": "simple",
  "medical_category": "endocrine"
}

Splits

Split	Examples
train	267
validation	57
test	58
Total	382

Complexity Distribution

Simple: 58% (basic demographic or single-condition queries)
Moderate: 40% (multi-filter or combined queries)
Complex: 2% (multi-condition with exclusions and lab filters)

Medical Categories

17 categories covering:

Demographic filters (38%)
Cardiovascular (12%)
Neurological (11%)
Respiratory (8%)
Endocrine (8%)
And 12 more...

Usage

from datasets import load_dataset

dataset = load_dataset("dafesmi/medical-ehr-training-data")

# Access splits
train_data = dataset['train']
val_data = dataset['validation']
test_data = dataset['test']

print(f"Training examples: {len(train_data)}")

License

Apache 2.0

Downloads last month: 54

Size of downloaded dataset files:

28.1 kB

Size of the auto-converted Parquet files:

28.1 kB

Number of rows:

301

Models trained or fine-tuned on dafesmi/medical-ehr-training-data

dafesmi/medical-ehr-gepa

Updated 14 days ago