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The BCI 2003 Brain-Computer Interface Competition focused on the use of motor imagery for EEG data analysis. In particular, the data set known as data3 was used in the competition. The goal of the competition was to encourage the development of new techniques for processing and interpreting EEG signals, with the ultimate aim of creating more effective and reliable brain-computer interfaces. Participants in the competition were required to use advanced algorithms and machine learning techniques to analyze and interpret the EEG data, with the goal of accurately classifying different types of motor imagery tasks. The competition provided an important opportunity for researchers and practitioners in the field to exchange ideas, test new techniques, and advance the state of the art in brain-computer interface technology.