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MiliLab/LogicOCR

LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images? This repo contains the full dataset of LogicOCR, a benchmark a benchmark comprising 2,780 questions with two subsets, i.e., LogicOCR-Gen with 1,100 multi-choice questions on generated images, and LogicOCR-Real with 1,680 meticulously designed free-form questions on real-world images. Dataset Usage LogicOCR is a test set. You are NOT allowed to use it for training models. To… See the full description on the dataset page: https://huggingface.co/datasets/MiliLab/LogicOCR.

Author / organizationMiliLab
License (as declared)cc-by-nc-sa-4.0
Downloads218 (as reported by Hugging Face)
Likes3
Created10 May 2025
Last updated at source15 December 2025
large-multimodal-modelslogical-reasoningtext-rich-imagesOCRdomain-knowledge-free
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  • 16 Oct 2026 Description: LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images? This repo contains the full dataset of LogicOCR, a benchmark a benchmark comprising 2,780 questions with two subsets, i.e., LogicOCR-Gen with 1,100 mu → LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images? This repo contains the full dataset of LogicOCR, a benchmark a benchmark comprising 2,780 questions with two subsets, i.e., LogicOCR-Gen with 1,100 mu

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