| --- |
| license: other |
| license_name: egotaskqa-research-only |
| license_link: https://sites.google.com/view/egotaskqa |
| task_categories: |
| - visual-question-answering |
| - multiple-choice |
| language: |
| - en |
| size_categories: |
| - 10K<n<100K |
| pretty_name: EgoTaskQA-MCQ |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: test.json |
| --- |
| |
| # EgoTaskQA-MCQ |
|
|
| Multiple-choice variant of the [EgoTaskQA](https://sites.google.com/view/egotaskqa) benchmark |
| (Jia et al., NeurIPS 2022). Each item pairs an egocentric video clip with a 5-way MCQ |
| (A–E) over object states, actions, and goals. |
|
|
| ## Format |
|
|
| `test.json` is a list of records: |
|
|
| ```json |
| { |
| "video_path": "27k-22-11-2|P1|4546|4986.mp4", |
| "q": "What is the status of sandwich before ...", |
| "option": {"A": "on top of plate", "B": "...", "C": "...", "D": "...", "E": "..."}, |
| "a": "A" |
| } |
| ``` |
|
|
| `a` is the letter of the correct option. |
|
|
| ## Videos (not included) |
|
|
| This repository hosts annotations only — the 2,337 egocentric video clips |
| referenced by `video_path` are **not redistributed** here, since the original |
| EgoTaskQA dataset is gated under a research-only license. |
|
|
| To obtain the videos: |
|
|
| 1. Visit https://sites.google.com/view/egotaskqa and submit the license-agreement |
| form linked from the Download page. |
| 2. Once granted access, download the `qa_videos/` directory. |
| 3. Either place the files under `~/.cache/lmms_eval/egotaskqa/videos/`, or point |
| the `EGOTASKQA_VIDEO_DIR` environment variable at the directory. |
|
|
| Filenames in `qa_videos/` match the `video_path` field in this dataset |
| (`<scene>-<...>|<participant>|<start>|<end>.mp4`); no renaming is required. |
|
|
| ## License |
|
|
| The MCQ annotations in this repo are released for research use only. |
| Upstream video content remains subject to the EgoTaskQA license; users must |
| obtain it through the official channel above. |
|
|
| ## Citation |
|
|
| ``` |
| @inproceedings{jia2022egotaskqa, |
| title={EgoTaskQA: Understanding Human Tasks in Egocentric Videos}, |
| author={Jia, Baoxiong and Lei, Ting and Zhu, Song-Chun and Huang, Siyuan}, |
| booktitle={Thirty-sixth Conference on Neural Information Processing Systems Datasets and Benchmarks Track}, |
| year={2022} |
| } |
| ``` |
|
|
