The paper introduces the MultiSenseBadminton dataset, a comprehensive collection of wearable sensor data for evaluating badminton performance. The dataset focuses on forehand clear and backhand drive strokes, covering various skill levels from beginners to experts. It includes 7,763 swing data points from 25 players, featuring sensor data on eye tracking, body tracking, muscle signals, and foot pressure. The dataset also contains video recordings, detailed annotations on stroke type, skill level, sound, ball landing, and hitting location, as well as survey and interview data. The authors validated the dataset using a proof-of-concept machine learning model, demonstrating its applicability in advanced badminton training and research. The dataset's design was informed by interviews with professional badminton coaches, ensuring that the collected data aligns with expert insights on training processes and feedback methods. The study also addresses the ethical considerations and participant consent required for the dataset's development.The paper introduces the MultiSenseBadminton dataset, a comprehensive collection of wearable sensor data for evaluating badminton performance. The dataset focuses on forehand clear and backhand drive strokes, covering various skill levels from beginners to experts. It includes 7,763 swing data points from 25 players, featuring sensor data on eye tracking, body tracking, muscle signals, and foot pressure. The dataset also contains video recordings, detailed annotations on stroke type, skill level, sound, ball landing, and hitting location, as well as survey and interview data. The authors validated the dataset using a proof-of-concept machine learning model, demonstrating its applicability in advanced badminton training and research. The dataset's design was informed by interviews with professional badminton coaches, ensuring that the collected data aligns with expert insights on training processes and feedback methods. The study also addresses the ethical considerations and participant consent required for the dataset's development.