Dataset · Hugging Face

yzeng58/CoBSAT

Name: CoBSAT
Creator: yzeng58
License: mit
Keywords: task_categories:text-to-image, language:en, license:mit, size_categories:1K<n<10K, arxiv:2402.01293, region:us, MLLM, in-context learning, text-to-image generation, T2I-ICL, ICL, NLP, natural language processing

The CoBSAT benchmark evaluates the ability of MLLMs to perform T2I-ICL. It covers five themes: color, background, style, action, and texture, each with two different emphases: object-inference and attribute-inference. For more details, please check our paper: https://arxiv.org/pdf/2402.01293.pdf.

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Author / organization	yzeng58
License (as declared)	mit
Downloads	255 (as reported by Hugging Face)
Likes	3
Created	29 February 2024
Last updated at source	29 February 2024

MLLMin-context learningtext-to-image generationT2I-ICLICLNLPnatural language processing

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