Dataset · Hugging Face

mteb/MMarcoReranking

Name: MMarcoReranking
Creator: mteb
Keywords: task_categories:text-ranking, multilinguality:monolingual, language:cmn, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2108.13897, arxiv:2502.13595, arxiv:2210.07316, region:us, mteb

MMarcoReranking An MTEB dataset Massive Text Embedding Benchmark mMARCO is a multilingual version of the MS MARCO passage ranking dataset Task category t2t Domains None Reference https://github.com/unicamp-dl/mMARCO How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_tasks(["MMarcoReranking"]) evaluator = mteb.MTEB(task) model = mteb.get_model(YOUR_MODEL)… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MMarcoReranking.

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Author / organization	mteb
Downloads	1.7K (as reported by Hugging Face)
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Created	19 February 2025
Last updated at source	4 May 2025

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