| --- |
| license: mit |
| language: |
| - en |
| pretty_name: Mesh2QA ScanNet 3D Question Answering |
| task_categories: |
| - question-answering |
| tags: |
| - 3d |
| - visual-question-answering |
| - scannet |
| - mesh2qa |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: trainval.jsonl |
| - split: test |
| path: test.jsonl |
| --- |
| |
| # 3D Question Answering ScanNet Export |
|
|
| This dataset card publishes a Hugging Face Dataset Viewer-ready JSONL export for the |
| [3D Question Answering](https://shuquanye.com/3DQA_website/) project by Shuquan Ye, |
| Dongdong Chen, Songfang Han, and Jing Liao. |
|
|
| Related links: |
|
|
| - [Project page](https://shuquanye.com/3DQA_website/) |
| - [arXiv](https://arxiv.org/abs/2112.08359v2) |
| - [Code](https://github.com/pleaseconnectwifi/3DQA) |
| - [Dataset repository](https://huggingface.co/datasets/pleaseconnectwifi/3DQA) |
|
|
| ## Splits |
|
|
| - `train`: 9160 examples from `scene0000_00` through `scene0706_00`; this intentionally combines the original train and validation portion. Because some cloud files were lost, the train and validation split cannot be distinguished. |
| - `test`: 902 examples from `scene0707_00` through `scene0806_00`. |
|
|
| The split keeps the current project convention of using the ScanNet test scene block separately while publishing train and validation together. |
|
|
| ## Fields |
|
|
| - `id`, `qakey`: example identifiers. |
| - `scene_id`: ScanNet scene identifier. |
| - `question_id`, `question`, `question_status`: question metadata. |
| - `perspective_specific`, `camera`: viewpoint metadata for the question. |
| - `answers`, `answer_confidences`, `answer_annotations`, `has_answer`: answer data and annotations. |
| - `source`: original source metadata. |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite the original 3DQA paper: |
|
|
| ```bibtex |
| @article{ye20213dqa, |
| title = {3D Question Answering}, |
| author = {Ye, Shuquan and Chen, Dongdong and Han, Songfang and Liao, Jing}, |
| journal = {IEEE Transactions on Visualization and Computer Graphics}, |
| doi = {10.48550/arXiv.2112.08359}, |
| } |
| ``` |
|
|