Context With this dataset we hope to do a nice cheeky wink to the "cats and dogs" image dataset. In fact, this dataset is aimed to be the audio counterpart of the famous "cats and dogs" image classification task, here available on Kaggle. Content The dataset consists in many "wav" files for both the cat and dog classes : - cat has 164 WAV files to which corresponds 1323 sec of audio - dog has 113 WAV files to which corresponds 598 sec of audio You can have an visual description of the Wav here : [Visualizing woofs & meows ??][1]. In [Accessing the Dataset 2][2] we propose a train / test split which can be used. All the WAV files contains 16KHz audio and have variable length. Acknowledgements We have not much credit in proposing the dataset here. Much of the work have been done by the [AE-Dataset][3] creator (From which we extracted the two classes) and by the humans behind [FreeSound][4] From which was extracted the AE-Dataset. PS: the AE-Dataset has a policy saying you can mention them: Naoya Takahashi, Michael Gygli, Beat Pfister and Luc Van Gool, "Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Recognition