Dataset · Hugging Face

mteb/DBPedia_test_top_250_only_w_correct-v2

Name: DBPedia_test_top_250_only_w_correct-v2
Creator: mteb
License: mit
Keywords: task_categories:text-retrieval, annotations_creators:derived, multilinguality:monolingual, source_datasets:mteb/dbpedia, language:eng, license:mit, size_categories:100K<n<1M, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2502.13595, arxiv:2210.07316

DBPediaHardNegatives An MTEB dataset Massive Text Embedding Benchmark DBpedia-Entity is a standard test collection for entity search over the DBpedia knowledge base. 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 Written, Encyclopaedic Reference https://github.com/iai-group/DBpedia-Entity/ How to evaluate on this task You can… See the full description on the dataset page: https://huggingface.co/datasets/mteb/DBPedia_test_top_250_only_w_correct-v2.

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Author / organization	mteb
License (as declared)	mit
Downloads	1.4K (as reported by Hugging Face)
Likes	0
Created	28 September 2024
Last updated at source	3 May 2025

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17 Oct 2026 Description: DBPediaHardNegatives An MTEB dataset Massive Text Embedding Benchmark DBpedia-Entity is a standard test collection for entity search over the DBpedia knowledge base. The hard negative version has been created by pooling the 250 top document → DBPediaHardNegatives An MTEB dataset Massive Text Embedding Benchmark DBpedia-Entity is a standard test collection for entity search over the DBpedia knowledge base. The hard negative version has been created by pooling the 250 top document

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