This dataset comprises 64-channel EEG recordings and behavioral ratings from 4 participants (P105, P141, P142, P146; anonymized as sub-001 to sub-004 in BIDS format) who evaluated 210 short English-language texts (70 Haiku, 70 Senryu, and 70 control texts) on five subjective dimensions: Aesthetic Appeal, Vivid Imagery, Being Moved, Originality, and Creativity. IMPORTANT: These 4 participants were EXCLUDED from primary analyses due to segmented EEG recordings acquired in multiple sessions and subsequently concatenated during preprocessing, which introduced potential artifacts. This is a companion dataset to Poetry Assessment EEG Dataset 1 (47 participants with validated continuous recordings used in primary analyses). Poetry Assessment EEG Dataset 2 is included for completeness and transparency, enabling users to apply their own quality control pipelines if desired. The dataset includes resting-state EEG (trigger codes: 65285, 65286 for pre-experiment; 65287, 65288 for post-experiment), trial-by-trial behavioral ratings, and psychometric responses (PANAS, Openness, Curiosity, VVIQ, AVIQ, MAAS, AReA), enabling investigation of neural correlates of aesthetic and creative cognition during poetic language processing. All preprocessing steps, event markers, and metadata structures were applied identically across both Poetry Assessment EEG datasets.
- Participants
- 4
- Channels
- 64 (10-10)
- Size
- 4.29 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026