Dataset · Hugging Face

OpenGVLab/MM-NIAH

Name: MM-NIAH
Creator: OpenGVLab
License: mit
Keywords: task_categories:question-answering, language:en, license:mit, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2406.07230, region:us

Needle In A Multimodal Haystack [Project Page] [arXiv Paper] [Dataset] [Leaderboard] [Github] News🚀🚀🚀 2024/06/13: 🚀We release Needle In A Multimodal Haystack (MM-NIAH), the first benchmark designed to systematically evaluate the capability of existing MLLMs to comprehend long multimodal documents. Experimental results show that performance of Gemini-1.5 on tasks with image needles is no better than a random guess. Introduction Needle In A Multimodal… See the full description on the dataset page: https://huggingface.co/datasets/OpenGVLab/MM-NIAH.

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Author / organization	OpenGVLab
License (as declared)	mit
Downloads	902 (as reported by Hugging Face)
Likes	13
Created	11 June 2024
Last updated at source	17 June 2024

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