Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - video-text-to-text | |
| # AskStream | |
| AskStream is the first multi-turn benchmark spanning video and user uncertainty for streaming video understanding. It extends proactive video interaction with an **ASK** action, allowing models to proactively request missing information before answering, in addition to the conventional **WAIT** and **ANSWER** actions. | |
| The benchmark contains **438** videos across **9** diverse domains, **1,401** questions covering **8** subtasks, and **2,714** manually annotated frame-level time windows for three interaction types: **WAIT**, **ASK**, and **ANSWER**. It supports both multiple-choice and open-ended evaluation across four task categories. | |
| - **Paper:** [AskStream: When and What to Ask Proactively under Uncertainty in Streaming Video Understanding](https://huggingface.co/papers/2610.38678) | |
| - **Project page:** [https://askstream.top/](https://askstream.top/) | |
| - **Code:** [https://github.com/wanglu-cs/AskStream](https://github.com/wanglu-cs/AskStream) | |
| ## Sample usage | |
| The repository README provides the following command to download the dataset: | |
| ```bash | |
| python -m pip install -U huggingface_hub | |
| hf download wanglucs/AskStream \ | |
| --repo-type dataset \ | |
| --local-dir /mnt/userdata/AskStream/data | |
| ``` |