datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Multi-modal-Self-instruct
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You can download the zip dataset directly, and both train and test subsets are collected in Multi-modal-Self-instruct.zip.
Dataset Description
Multi-Modal Self-Instruct dataset utilizes large language models and their code capabilities to synthesize massive abstract images and visual reasoning instructions across daily scenarios. This benchmark… See the full description on the dataset page: https://huggingface.co/datasets/zwq2018/Multi-modal-Self-instruct.modality-conflict-arbitration-v2
Modality-Conflict Arbitration Benchmark (v2)
A controlled benchmark for studying how a vision-language model arbitrates between
its two input channels when they disagree — and whether that choice tracks the
reliability of each channel.
Each row is a single conflict trial: an image of one math problem paired with the
text of a different problem. Because the two ground-truth answers are carried side by
side, the model's output alone tells you which modality it followed — no… See the full description on the dataset page: https://huggingface.co/datasets/vlm-modality-research/modality-conflict-arbitration-v2.