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Table · dataset · 2025

thunder-research-group/SNU_Ko-MuSR

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Dataset Card for SNU Ko-MuSR Dataset

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Summary

SNU Ko-MuSR is a Korean adaptation of MuSR, a benchmark designed to assess multistep reasoning abilities of large language models. It evaluates a model's ability to extract facts from long narratives, perform multi-step soft reasoning and deduce the conclusion according to the task settings. The benchmark consists of three subtasks: murder mysteries, object placements and team allocations, according to the MuSR benchmark.… See the full description on the dataset page: huggingface.co/datasets/thunder-research-group/SNU_Ko-MuSR.

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Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsthunder-research-group/SNU_Ko-MuSR10 d agoJSON v1
FieldAssertionExtractorEvidence
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