TY - JOUR
T1 - An EEG Dataset on Aesthetic and Creative Judgments of Brief Structured Poetry
AU - Chaudhuri, Soma
AU - Bhattacharya, Joydeep
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12/3
Y1 - 2025/12/3
N2 - Understanding how the brain engages with poetic language is key to advancing empirical research on aesthetic and creative cognition. We present a 64-channel EEG and behavioural dataset from 51 participants who read and evaluated 210 short English-language texts (70 Haiku, poems focusing on nature; 70 Senryu, poems focusing on emotion; 70 structurally-matched non-poetic control texts). Participants rated each stimulus on five dimensions (aesthetic appeal, vivid imagery, emotional impact, originality and creativity) on a 7-point scale. The dataset includes time-aligned EEG and behavioural responses, self-report trait measures, and rich stimulus metadata. Further, the dataset also includes resting state EEG data before and after the experiment. Exploratory validation analysis revealed condition-specific spectral power differences and trial-level brain-behaviour associations. By combining poetic structure, subjective evaluation, and high-temporal-resolution neural activity, this comprehensive dataset enables detailed investigation into neuroaesthetics, cognitive poetics, and the neuroscience of creativity.
AB - Understanding how the brain engages with poetic language is key to advancing empirical research on aesthetic and creative cognition. We present a 64-channel EEG and behavioural dataset from 51 participants who read and evaluated 210 short English-language texts (70 Haiku, poems focusing on nature; 70 Senryu, poems focusing on emotion; 70 structurally-matched non-poetic control texts). Participants rated each stimulus on five dimensions (aesthetic appeal, vivid imagery, emotional impact, originality and creativity) on a 7-point scale. The dataset includes time-aligned EEG and behavioural responses, self-report trait measures, and rich stimulus metadata. Further, the dataset also includes resting state EEG data before and after the experiment. Exploratory validation analysis revealed condition-specific spectral power differences and trial-level brain-behaviour associations. By combining poetic structure, subjective evaluation, and high-temporal-resolution neural activity, this comprehensive dataset enables detailed investigation into neuroaesthetics, cognitive poetics, and the neuroscience of creativity.
UR - https://www.scopus.com/pages/publications/105023797122
UR - https://www.nature.com/articles/s41597-025-06189-w
U2 - 10.1038/s41597-025-06189-w
DO - 10.1038/s41597-025-06189-w
M3 - Journal article
C2 - 41339326
AN - SCOPUS:105023797122
SN - 2052-4463
VL - 12
JO - Scientific data
JF - Scientific data
M1 - 1898
ER -