Dataset · Hugging Face

whooray/mrtidy

Name: mrtidy
Creator: whooray
License: cc-by-sa-3.0
Keywords: task_categories:text-retrieval, annotations_creators:human-annotated, multilinguality:multilingual, language:ara, language:ben, language:eng, language:fin, language:ind, language:jpn, language:kor, language:rus, language:swa, language:tel, language:tha, license:cc-by-sa-3.0

MrTidyRetrieval An MTEB dataset Massive Text Embedding Benchmark Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages. It is designed for monolingual retrieval, specifically to evaluate ranking with learned dense representations. Task category t2t Domains Encyclopaedic, Written Reference https://huggingface.co/datasets/castorini/mr-tydi How to evaluate on this task You can evaluate an… See the full description on the dataset page: https://huggingface.co/datasets/whooray/mrtidy.

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Author / organization	whooray
License (as declared)	cc-by-sa-3.0
Downloads	337 (as reported by Hugging Face)
Likes	0
Created	21 February 2026
Last updated at source	21 February 2026

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17 Oct 2026 Description: MrTidyRetrieval An MTEB dataset Massive Text Embedding Benchmark Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages. It is designed for monolingual retrieval, specifically to evaluat → MrTidyRetrieval An MTEB dataset Massive Text Embedding Benchmark Mr. TyDi is a multi-lingual benchmark dataset built on TyDi, covering eleven typologically diverse languages. It is designed for monolingual retrieval, specifically to evaluat

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