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 follows: ASR… See the full description on the dataset page:

Source: Hugging Face Hub (lucas-ventura/chapter-llama). Metadata imported from the dataset’s Hub tags.