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<p>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.</p>

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An EEG Dataset on Aesthetic and Creative Judgments of Brief Structured Poetry

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年12月3日

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  • Soma Chaudhuri,
  • Joydeep Bhattacharya

摘要

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.