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We present three datasets that were used to conduct an open competition for evaluating the performance of various machine learning algorithms used in brain-computer interfaces. The datasets were collected for tasks that included 1) detecting explicit left/right (L/R) button press, 2) predicting imagined L/R button press and 3) vertical cursor control. A total of ten entries were submitted to the competition, with winning results reported for two of the three datasets.doi:10.1109/tnsre.2003.814453 pmid:12899269 fatcat:rzeveqwjuvgrbcxgcobrwpiiqu