| # CLEAR2 dataset | |
| This dataset was presented in the article "NAAQA: A Neural Architecture for Acoustic Question answering" submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence in 2021. | |
| https://arxiv.org/abs/2106.06147 | |
| The code to generate this dataset is available at : https://github.com/J3rome/CLEAR-AQA-Dataset-Generator | |
| ## Structure | |
| - scenes/ : 1 json file per set (Train/val/test) | |
| - Specify the order and the timings of each sounds in a scene | |
| - questions/ : 1 json files per set (Train/val/test). | |
| - Specify the questions and answers for each scenes. | |
| - The functional program of the question is also provided | |
| - audio/ : Acoustic scenes recordings (FLAC) | |
| - train/ | |
| - val/ | |
| - test/ | |
| - attributes.json : List all possible answers (Split by question categories) | |