Auto71%Harbor: pendingKnowledge & Reasoning

MS^2

Multi-Document Summarization of Medical Studies

MS^2 (Multi-Document Summarization of Medical Studies) is a dataset of over 470k documents and 20k summaries derived from the scientific literature.

How to run

ltb · ms-2
$ npm i -g lettokenburn-cli
$ ltb bench info ms-2

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

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No sourced scores recorded yet.

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

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About

MS^2 (Multi-Document Summarization of Medical Studies) is a dataset of over 470k documents and 20k summaries derived from the scientific literature. This dataset facilitates the development of systems that can assess and aggregate contradictory evidence across multiple studies, and is one of the first large-scale, publicly available multi-document summarization dataset in the biomedical domain.