Dataset · Hugging Face

Sterzhang/PVIT-3M

Name: PVIT-3M
Creator: Sterzhang
License: apache-2.0
Keywords: task_categories:visual-question-answering, task_categories:image-text-to-text, language:en, license:apache-2.0, size_categories:1M<n<10M, format:json, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2410.07113, region:us, multi-modal

PVIT-3M The paper titled "Personalized Visual Instruction Tuning" introduces a novel dataset called PVIT-3M. This dataset is specifically designed for tuning MLLMs in the context of personalized visual instruction tasks. The dataset consists of 3 million image-text pairs that aim to improve MLLMs' abilities to generate responses based on personalized visual inputs, making them more tailored and adaptable to individual user needs and preferences. Here’s the PVIT-3M statistics:… See the full description on the dataset page: https://huggingface.co/datasets/Sterzhang/PVIT-3M.

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Author / organization	Sterzhang
License (as declared)	apache-2.0
Downloads	3.5K (as reported by Hugging Face)
Likes	21
Created	7 October 2024
Last updated at source	2 November 2024

multi-modalpersonalized

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