Dataset · Hugging Face

mteb/MultiSWEbenchRR

Name: MultiSWEbenchRR
Creator: mteb
License: mit
Keywords: task_categories:text-ranking, annotations_creators:derived, multilinguality:multilingual, source_datasets:tarsur909/mteb-swe-bench-multi-reranking, language:code, language:eng, license:mit, size_categories:10M<n<100M, format:parquet, modality:text, library:datasets, library:dask, library:mlcroissant, library:polars, arxiv:2504.02605

MultiSWEbenchRR An MTEB dataset Massive Text Embedding Benchmark Multilingual Software Issue Localization. Task category t2t Domains Programming, Written Reference https://multi-swe-bench.github.io/#/ Source datasets: tarsur909/mteb-swe-bench-multi-reranking How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_task("MultiSWEbenchRR") evaluator = mteb.MTEB([task])… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MultiSWEbenchRR.

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Author / organization	mteb
License (as declared)	mit
Downloads	167 (as reported by Hugging Face)
Likes	0
Created	3 October 2025
Last updated at source	3 October 2025

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