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Dataset · Hugging Face

NJU-LINK/OmniCap-IF

OmniCap-IF           OmniCap-IF is a benchmark for evaluating instruction following in omni-modal video captioning. It contains 480 videos and 1,920 instruction samples spanning understanding, generation, retrieval, and communication-oriented captioning tasks. Each sample pairs a prompt with fine-grained format and content checklists for evaluating whether a model follows structural, temporal, visual, audio, and audio-visual constraints.… See the full description on the dataset page: https://huggingface.co/datasets/NJU-LINK/OmniCap-IF.

Author / organizationNJU-LINK
License (as declared)cc-by-nc-sa-4.0
Downloads382 (as reported by Hugging Face)
Likes1
Created5 June 2026
Last updated at source9 June 2026
video-captioningaudio-visualomni-modalinstruction-followingbenchmarkchecklist-evaluation
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