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Poetry Assessment EEG Dataset 1

This dataset comprises 64-channel EEG recordings and behavioral ratings from 47 participants who read and evaluated 210 short English-language texts (70 Haiku with nature themes, 70 Senryu with emotion themes, and 70 non-poetic control texts) while rating them on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. This dataset represents the first part of a 51-participant study; it contains data from 47 participants whose continuous EEG recordings passed technical validation and were used in primary analyses. The companion dataset (Poetry Assessment EEG Dataset 2) includes the remaining 4 participants whose EEG recordings were excluded from primary analyses due to session interruptions and concatenation during preprocessing. The study investigates neural correlates of poetic language processing and aesthetic cognition. Complementary psychometric assessments including mood, personality traits, imagery vividness, mindfulness, and aesthetic responsiveness are included. Resting-state EEG was recorded at the beginning and end of each session.

Participants: 47
Channels: 64 (10-10)
Size: 45.4 GB
Version: vv1.0.0
Updated: Jul 10, 2026

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