Dataset · Hugging Face

insomnia7/omtg56k

Name: omtg56k
Creator: insomnia7
License: cc-by-nc-4.0
Keywords: task_categories:video-text-to-text, task_categories:visual-question-answering, language:en, license:cc-by-nc-4.0, size_categories:10K<n<100K, format:json, modality:text, modality:video, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2606.06294, region:us, video

OMTG-56K: A High-Quality Instruction-Tuning Dataset for One-to-Many Temporal Grounding OMTG-56K is a large-scale, high-fidelity instruction-tuning dataset introduced in the paper "Towards One-to-Many Temporal Grounding" (ICML 2026, under review). It empowers MLLMs to evolve from one-to-one to one-to-many temporal grounding via SFT + RL (GRPO). Dataset Summary Item Value Task One-to-Many Temporal Grounding (OMTG) Total samples ~56,000 SFT split ~46… See the full description on the dataset page: https://huggingface.co/datasets/insomnia7/omtg56k.

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Author / organization	insomnia7
License (as declared)	cc-by-nc-4.0
Downloads	692 (as reported by Hugging Face)
Likes	0
Created	2 February 2026
Last updated at source	5 June 2026

videotemporal-groundingone-to-manyinstruction-tuningmultimodalmllmsftrlgrpo

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