visual qa
visual_qa_multipanel
Do you “see" what I “see"? A Multi-panel Visual Question and Answer Dataset for Large Language Model Chart Analysis
Publication: Accepted to TPDL 2026 (linked on publication)
GitHub Repo: https://github.com/ReadingTimeMachine/LLM_VQA_MultiPanel
This is a multi-panel figure dataset for visual question and answer (VQA) to test large language/multimodal models (LMMs).
Data contains synthetically generated multi-panel figures with histogram, scatter… See the full description on the dataset page: https://huggingface.co/datasets/ReadingTimeMachine/visual_qa_multipanel.visual-qa-llama-format
Open Paws Visual Qa Llama Format
This dataset is part of the Open Paws initiative to develop AI training data aligned with animal liberation and advocacy principles. Created to train AI systems that understand and promote animal welfare, rights, and liberation.
Dataset Details
Dataset Type: Multimodal Data
Format: JSONL (JSON Lines)
Languages: Multilingual (primarily English)
Focus: Animal advocacy and ethical reasoning
Organization: Open Paws
License: Apache 2.0… See the full description on the dataset page: https://huggingface.co/datasets/open-paws/visual-qa-llama-format.visual_qa_histograms
What Lies Beneath: A Call for Distribution-based Visual Question & Answer Datasets
Publication: JCDL 2025 Website and on arXiv
GitHub Repo: ReadingTimeMachine/LLM_VQA_JCDL2025
This is a histogram-based dataset for visual question and answer (VQA) with humans and large language/multimodal models (LMMs).
Data contains synthetically generated single-panel histograms images, data used to create histograms, bounding box data for titles, axis and tick labels, and… See the full description on the dataset page: https://huggingface.co/datasets/ReadingTimeMachine/visual_qa_histograms.UMIE-Visual-QAvisual-cortex-coding-qamath-visual-multihop-qa