Dataset · Hugging Face

vidore/vidore_v3_industrial_mteb_format

Name: vidore_v3_industrial_mteb_format
Creator: vidore
License: cc-by-4.0
Keywords: task_categories:visual-document-retrieval, task_categories:image-to-text, task_categories:text-to-image, annotations_creators:derived, multilinguality:multilingual, source_datasets:vidore/vidore_v3_industrial, language:deu, language:eng, language:fra, language:ita, language:por, language:spa, license:cc-by-4.0, size_categories:10K<n<100K, format:parquet

Vidore3IndustrialRetrieval An MTEB dataset Massive Text Embedding Benchmark Retrieve associated pages according to questions. Task category t2i Domains Academic Reference https://huggingface.co/blog/QuentinJG/introducing-vidore-v3 Source datasets: vidore/vidore_v3_industrial How to evaluate on this task You can evaluate an embedding model on this dataset using the following code: import mteb task = mteb.get_task("Vidore3IndustrialRetrieval")… See the full description on the dataset page: https://huggingface.co/datasets/vidore/vidore_v3_industrial_mteb_format.

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Author / organization	vidore
License (as declared)	cc-by-4.0
Downloads	1.2K (as reported by Hugging Face)
Likes	0
Created	5 November 2025
Last updated at source	5 November 2025

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