Dataset · Hugging Face

mteb/neuclir-2023

Name: neuclir-2023
Creator: mteb
License: odc-by
Keywords: task_categories:text-retrieval, annotations_creators:expert-annotated, multilinguality:multilingual, language:fas, language:rus, language:zho, license:odc-by, modality:text, arxiv:2404.08071, arxiv:2502.13595, arxiv:2210.07316, region:us, mteb, text

NeuCLIR2023Retrieval An MTEB dataset Massive Text Embedding Benchmark The task involves identifying and retrieving the documents that are relevant to the queries. Task category t2t Domains News, Written Reference https://neuclir.github.io/ 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(["NeuCLIR2023Retrieval"]) evaluator = mteb.MTEB(task) model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/neuclir-2023.

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Author / organization	mteb
License (as declared)	odc-by
Downloads	177 (as reported by Hugging Face)
Likes	0
Created	12 April 2024
Last updated at source	3 May 2025

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