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Description: In this dataset, we present a dataset called Toadstool that aims to contribute to the field of reinforcement learning, multimodal data fusion, and the possibility of exploring emotionally aware machine learning algorithms. Furthermore, the dataset can also be useful to researchers interested in facial expressions, biometric sensors, sentiment analysis, and game studies. The dataset consists of video, sensor, and demographic data collected from ten participants playing Super Mario Bros. The sensor data is collected through an Empatica E4 wristband, which provides high-quality measurements and is graded as a medical device. We believe that the presented dataset can be interesting for a manifold of researchers to explore different exciting questions.

License: CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

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