prompt stringlengths 199k 227k | category stringclasses 1
value | extra_info dict |
|---|---|---|
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"D","answer_text":"Vincristine"},"scoring_function":"longhealth_acc(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"D","answer_text":"She has 3-vessel CHD."},"scoring_function":"long(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"A","answer_text":"Multiple sclerosis"},"scoring_function":"longhea(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"B","answer_text":"0.5 mg, 1 capsule at bedtime"},"scoring_function(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"D","answer_text":"6 cycles of R-Pola-CHP"},"scoring_function":"lon(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"C","answer_text":"Thoracic vertebra 10"},"scoring_function":"longh(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"A","answer_text":"Omnipaque 320"},"scoring_function":"longhealth_a(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"B","answer_text":"MR Brain > MR thoracic/lumbar spine > CT chest/a(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"E","answer_text":"The patient started taking 2mg of Melatonin in t(...TRUNCATED) |
"<|im_start|>system\nYou are a medical expert assistant analyzing clinical documents. Read the patie(...TRUNCATED) | memwrap/longhealth | {"ground_truth":{"answer_letter":"B","answer_text":"The patient's pain management was escalated, as (...TRUNCATED) |
End of preview. Expand in Data Studio
LongHealth5 Benchmark (5-Patient Concatenated)
Clinical document QA benchmark with 5 patients concatenated per context.
Variants
- memwrap: All 5 patients in a single memory block (~60k tokens)
- memwrap_chunked: Each patient in a separate memory block (~12k tokens each), patient IDs in plain text
- plain: Raw clinical documents, no memory tags
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