Dataset · Hugging Face

TIGER-Lab/M-BEIR

Name: M-BEIR
Creator: TIGER-Lab
License: mit
Keywords: task_categories:text-retrieval, task_categories:text-to-image, task_categories:image-to-text, task_categories:visual-question-answering, language:en, license:mit, size_categories:1M<n<10M, format:json, modality:text, library:datasets, library:dask, library:mlcroissant, arxiv:2311.17136, region:us

UniIR: Training and Benchmarking Universal Multimodal Information Retrievers (ECCV 2024) 🌐 Homepage | 🤗 Model(UniIR Checkpoints) | 🤗 Paper | 📖 arXiv | GitHub How to download the M-BEIR Dataset 🔔News 🔥[2023-12-21]: Our M-BEIR Benchmark is now available for use. Dataset Summary M-BEIR, the Multimodal BEnchmark for Instructed Retrieval, is a comprehensive large-scale retrieval benchmark designed to train and evaluate unified multimodal… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/M-BEIR.

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Author / organization	TIGER-Lab
License (as declared)	mit
Downloads	3.2K (as reported by Hugging Face)
Likes	27
Created	1 December 2023
Last updated at source	7 August 2024

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16 Oct 2026 Description: UniIR: Training and Benchmarking Universal Multimodal Information Retrievers (ECCV 2024) 🌐 Homepage | 🤗 Model(UniIR Checkpoints) | 🤗 Paper | 📖 arXiv | GitHub How to download the M-BEIR Dataset 🔔News 🔥[2023-12-21]: Our M-BEIR Benchmark → UniIR: Training and Benchmarking Universal Multimodal Information Retrievers (ECCV 2024) 🌐 Homepage | 🤗 Model(UniIR Checkpoints) | 🤗 Paper | 📖 arXiv | GitHub How to download the M-BEIR Dataset 🔔News 🔥[2023-12-21]: Our M-BEIR Benchmark

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