ImpactBench
Harbor: pendingEvaluates AI impact on human wellbeing across psychological, physical, and social domains using 809 metrics in simulated multi-turn conversations.
- Samples
- 48,540
- Released
- 2026
- Scores
- 10
HealthBench
Evaluating Large Language Models Towards Improved Human Health
A comprehensive evaluation benchmark designed to assess language models' medical capabilities across a wide range of healthcare scenarios.
How to run
ltb · healthbench
$ npm i -g lettokenburn-cli$ ltb bench pull healthbench
External harness. pip install inspect-evals && inspect eval inspect_evals/healthbench --model <provider/model> (other tasks: healthbench_hard, healthbench_consensus, healthbench_meta_eval) https://github.com/UKGovernmentBEIS/inspect_evals
License is link-only: ltb bench pull fetches rows from the original host for local evaluation only and does not write a solution/ directory. Do not redistribute the generated tasks.
Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs
Scores
0 sourced entriesNo sourced scores recorded yet.
Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.
Reproduced by the community
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About
A comprehensive evaluation benchmark designed to assess language models' medical capabilities across a wide range of healthcare scenarios.