Snorkel Data-as-a-Service
Biomedical Reasoning
The Biomedical Reasoning data captures the kind of expert reasoning required across biomedical and health sciences—integrating domain knowledge, multi-step analysis, and factual accuracy to reach reliable conclusions.
Developed by Snorkel’s AI Data Research Lab in collaboration with leading real-world experts in the medical field, this dataset is designed to evaluate and improve reasoning and factual accuracy of LLMs across biomedical and health sciences domains.
Expert-led validation
Human review — STEM masters/PhDs and domain experts across scientific disciplines.
LLMaJ validation — Automated checks detect ambiguity, insufficient context, contamination, and underspecified problem statements.
Deterministic testing — Final answers must be exact, checkable, and validated with deterministic match rules.
Guardrails — Problems are screened for contamination, trivial variants, multimodal content, or reliance on external data.
Biomedical topics spanning:
Anesthesia
Biochemistry
Bioengineering
Cardiothoracic surgery
Genetics
Neurology
Pediatrics
Pathology
Pharmacology
Radiology
Surgery
Public health
Why the Snorkel Data Series
Lab-to-lab partnership
Expert-network design
Deterministic ground truth & verifiers
Let’s talk
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