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The dataset contains about 110\u2009hours of electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), respiration, pupil size, gaze position, saccades, blinks, fixations, and head-motion signals, all time-aligned to the video and standardized in the Brain Imaging Data Structure (BIDS) format. Participants watched three to six videos (mean\u2009=\u200928\u2009\u00b1\u20095\u2009min) under conditions that manipulated attention (attentive versus distracted), learning goals (incidental versus intentional), and motivation (monetary incentive). Demographic data, Adult ADHD Self-Report Scale (ASRS) scores, and digit-span working-memory assessments are included. Technical validation shows expected effects: higher alpha-band power during distraction, a posterior-to-anterior gradient in EEG power, increased blink rate, and reduced saccade rate when attention was diverted. Approximately 97 percent of the continuous signal data are newly released. 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