Dataset · Hugging Face

mteb/HotpotQA_test_top_250_only_w_correct-v2

Name: HotpotQA_test_top_250_only_w_correct-v2
Creator: mteb
License: cc-by-sa-4.0
Keywords: task_categories:text-retrieval, task_ids:multiple-choice-qa, annotations_creators:human-annotated, multilinguality:monolingual, source_datasets:mteb/hotpotqa, language:eng, license:cc-by-sa-4.0, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2502.13595

HotpotQAHardNegatives An MTEB dataset Massive Text Embedding Benchmark HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable question answering systems. The hard negative version has been created by pooling the 250 top documents per query from BM25, e5-multilingual-large and e5-mistral-instruct. Task category t2t Domains Web, Written Reference… See the full description on the dataset page: https://huggingface.co/datasets/mteb/HotpotQA_test_top_250_only_w_correct-v2.

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Author / organization	mteb
License (as declared)	cc-by-sa-4.0
Downloads	6.3K (as reported by Hugging Face)
Likes	0
Created	28 September 2024
Last updated at source	4 May 2025

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17 Oct 2026 Description: HotpotQAHardNegatives An MTEB dataset Massive Text Embedding Benchmark HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable question answeri → HotpotQAHardNegatives An MTEB dataset Massive Text Embedding Benchmark HotpotQA is a question answering dataset featuring natural, multi-hop questions, with strong supervision for supporting facts to enable more explainable question answeri

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