Clotho-AQA is an audio question-answering dataset consisting of 1991 audio samples taken from Clotho dataset [1]. Each audio sample has 6 associated questions collected through crowdsourcing. For each question, the answers are provided by three different annotators making a total of 35,838 question-answer pairs. For each audio sample, 4 questions are designed to be answered with 'yes' or 'no', while the remaining two questions are designed to be answered in a single word. More details about the data collection process and data splitting process can be found in our following paper. S. Lipping, P. Sudarsanam, K. Drossos, T. Virtanen ‘Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering.’ The paper is available online at 2204.09634.pdf (arxiv.org) If you use the Clotho-AQA dataset, please cite the paper mentioned above. A sample baseline model to use the Clotho-AQA dataset can be found at partha2409/AquaNet (github.com) To use the dataset, • Download and extract ‘audio_files.zip’. This contains all the 1991 audio samples in the dataset. • Download ‘clotho_aqa_train.csv’, ‘clotho_aqa_val.csv’, and ‘clotho_aqa_test.csv’. These files contain the train, validation, and test splits, respectively. They contain the audio file name, questions, answers, and confidence scores provided by the annotators. License: The audio files in the archive ‘audio_files.zip’ are under the corresponding licenses (mostly CreativeCommons with attribution) of Freesound [2] platform, mentioned explicitly in the CSV file ’clotho_aqa_metadata.csv’ for each of the audio files. That is, each audio file in the archive is listed in the CSV file with meta-data. The meta-data for each file are: • File name • Keywords • URL for the original audio file • Start and ending samples for the excerpt that is used in the Clotho dataset • Uploader/user in the Freesound platform (manufacturer) • Link to the license of the file. The questions and answers in the files: • clotho_aqa_train.csv • clotho_aqa_val.csv • clotho_aqa_test.csv are under the MIT license, described in the LICENSE file. References: [1] K. Drossos, S. Lipping and T. Virtanen, "Clotho: An Audio Captioning Dataset," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Barcelona, Spain, 2020, pp. 736- 740, doi: 10.1109/ICASSP40776.2020.9052990. [2] Frederic Font, Gerard Roma, and Xavier Serra. 2013. Freesound technical demo. In Proceedings of the 21st ACM international conference on Multimedia (MM '13). ACM, New York, NY, USA, 411-412. DOI: https://doi.org/10.1145/2502081.2502245

2022