Omkar2118/datasets huggingface dataset:
VideoInstruct
Full name: Video Instruction Dataset

Video Instruction Dataset is used to train Video-ChatGPT. It consists of 100,000 high-quality video instruction pairs. employs a combination of human-assisted and semi-automatic annotation techniques, aiming to produce high-quality video instruction data. These methods create question-answer pairs related to

1. Video summarization
2. Description-based question-answers (exploring spatial, temporal, relationships, and reasoning concepts)
3. Creative/generative question-answers

Introducing paper: Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models