lucas-ventura/chapter-llama
VidChapters Dataset for Chapter-Llama This repository contains the dataset used in the paper "Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs" (CVPR 2025). Overview VidChapters-7M is a large-scale dataset for video chaptering, containing: 817k videos with ASR data (20GB) Captions extracted from videos using various sampling strategies Chapter annotations with timestamps and titles Data Structure The dataset is organized as… See the full description on the dataset page: https://huggingface.co/datasets/lucas-ventura/chapter-llama.
| Author / organization | lucas-ventura |
|---|---|
| License (as declared) | mit |
| Downloads | 11.5K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 28 March 2025 |
| Last updated at source | 20 October 2025 |
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Recent changes
- 17 Oct 2026 Description: VidChapters Dataset for Chapter-Llama This repository contains the dataset used in the paper "Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs" (CVPR 2025). Overview VidChapters-7M is a large-scale dataset for video chapter → VidChapters Dataset for Chapter-Llama This repository contains the dataset used in the paper "Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs" (CVPR 2025). Overview VidChapters-7M is a large-scale dataset for video chapter
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