Dataset · Hugging Face

mteb/Vidore3HrNemotron35Embed8BReranking.v2

Name: Vidore3HrNemotron35Embed8BReranking.v2
Creator: mteb
License: cc-by-4.0
Keywords: task_categories:visual-document-retrieval, task_categories:image-to-text, task_categories:text-to-image, task_categories:image-text-to-text, annotations_creators:derived, multilinguality:translated, source_datasets:vidore/vidore_v3_hr_mteb_format, source_datasets:mteb/Vidore3HrOCRRetrieval, language:deu, language:eng, language:fra, language:ita, language:por, language:spa, license:cc-by-4.0

Vidore3HrNemotron35Embed8BReranking.v2 An MTEB dataset Massive Text Embedding Benchmark This task is used to evaluate the reranking performance for visual document retrieval. The candidates for reranking are the top-50 pages retrieved by the nvidia/Nemotron-3.5-Embed-8B-BF16 model. This dataset, HR, is a corpus of reports released by the european union, intended for complex-document understanding tasks. Original queries were created in english, then translated to french, german… See the full description on the dataset page: https://huggingface.co/datasets/mteb/Vidore3HrNemotron35Embed8BReranki

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Author / organization	mteb
License (as declared)	cc-by-4.0
Downloads	0 (as reported by Hugging Face)
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Created	15 October 2026
Last updated at source	15 October 2026

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