Dataset · Hugging Face

Fysics-AI/OmniPhysics-Caption_benchmark

Name: OmniPhysics-Caption_benchmark
Creator: Fysics-AI
License: other
Keywords: task_categories:video-text-to-text, task_categories:question-answering, annotations_creators:expert-generated, language:en, language:zh, license:other, size_categories:1K<n<10K, modality:video, library:datasets, library:mlcroissant, arxiv:2609.31714, region:us, video-captioning, multimodal, physical-reasoning

OmniFysics-Captioner: Grounding Omni-Modal Understanding in the Physical World for Better Captioning 🌐 Project • 📈 Benchmark Overview • 🧪 What OPC Measures • 📊 Daily-Physics 50K Subset 🤗 Captioner • 📄 Paper • 📚 Citation Introduction Building omni-modal models with physical intelligence requires benchmarks that test whether generated captions preserve information from both visual and audio streams. Existing detailed-caption benchmarks… See the full description on the dataset page: https://huggingface.co/datasets/Fysics-AI/OmniPhysics-Caption_benchmark.

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Author / organization	Fysics-AI
License (as declared)	other
Downloads	723 (as reported by Hugging Face)
Likes	1
Created	22 August 2026
Last updated at source	8 October 2026

video-captioningmultimodalphysical-reasoninggrounded-evaluationphysics

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