license:unlicense size_categories:1K<n<10K format:json modality:text library:datasets library:pandas library:mlcroissant library:polars region:us
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license: unlicense
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Introducing Moscow Mule a MCQA benchmark dataset aimed to address past issues and solve them. We want to minimise the debackles created by past evals and make sure every model is evaluated fairly on the leaderboards. 

It’s part of ICML 2025. Updates will be posted later. 
