PolyU-ChenLab/ET-Instruct-164K
E.T. Instruct 164K arXiv | Project Page | GitHub E.T. Instruct 164K is a large-scale instruction-tuning dataset tailored for fine-grained event-level and time-sensitive video understanding. It contains 101K meticulously collected videos under diverse domains and 9 event-level understanding tasks with well-designed instruction-response pairs. The average video length is around 146 seconds. 📦 Download Dataset You may download the dataset using the following… See the full description on the dataset page: https://huggingface.co/datasets/PolyU-ChenLab/ET-Instruct-164K.
| Author / organization | PolyU-ChenLab |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 2.2K (as reported by Hugging Face) |
| Likes | 5 |
| Created | 21 September 2024 |
| Last updated at source | 27 September 2024 |
Recent changes
- 16 Oct 2026 Description: E.T. Instruct 164K arXiv | Project Page | GitHub E.T. Instruct 164K is a large-scale instruction-tuning dataset tailored for fine-grained event-level and time-sensitive video understanding. It contains 101K meticulously collected videos und → E.T. Instruct 164K arXiv | Project Page | GitHub E.T. Instruct 164K is a large-scale instruction-tuning dataset tailored for fine-grained event-level and time-sensitive video understanding. It contains 101K meticulously collected videos und
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