Sterzhang/PVIT-3MPVIT 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.

PVIT-3M

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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.

Libraries:Datasets, Dask, Polars, CroissantLicense:apache-2.0

ArXiv:2410.07113

imported

huggingface

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

region:us

multi-modal

personalized

0downloads0likesLicense:apache-2.0

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arXiv:2410.07113

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