Datasets › SEED
SEED (SJTU Emotion EEG Dataset)
The SEED dataset contains subjects' EEG signals when they were watching films clips. The film clips are carefully selected so as to induce different types of emotion, which are positive, negative, and neutral ones.
Source: http://bcmi.sjtu.edu.cn/home/seed/index.html Image Source: http://bcmi.sjtu.edu.cn/home/seed/index.html
Benchmarks archive 2025-07-28
All 4 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Electroencephalogram (EEG) | SEED-IV | BiHDM Accuracy 74.35 | A Novel Bi-hemispheric Discrepancy Model for EEG Emotion... | — | 3 | Compare |
| EEG Emotion Recognition | SEED-IV | RGNN Accuracy 79.37 | EEG-Based Emotion Recognition Using Regularized Graph... | zhongpeixiang/RGNN +4 | 2 | Compare |
| Electroencephalogram (EEG) | SEED | DBN Accuracy 86.08 | Investigating critical frequency bands and channels for... | — | 1 | Compare |
| Emotion Recognition | SEED | 4D-aNN Accuracy 96.10 | 4D Attention-based Neural Network for EEG Emotion Recognition | — | 1 | Compare |
Papers archive 2025-07-28
5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 119. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| 4D Attention-based Neural Network for EEG Emotion Recognition | 0 | 1 | 14 Jan 2021 | not harvested |
| EEG-Based Emotion Recognition Using Regularized Graph Neural Networks | 5 | 2 | 18 Jul 2019 | not harvested |
| A Novel Bi-hemispheric Discrepancy Model for EEG Emotion Recognition | 0 | 1 | 11 May 2019 | not harvested |
| EEG emotion recognition using dynamical graph convolutional neural networks | 0 | 1 | 21 Mar 2018 | not harvested |
| Investigating critical frequency bands and channels for EEG-based emotion recognition with deep neural networks | 0 | 2 | 8 May 2015 | not harvested |
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Custom (research-only, non-commercial)
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- SEED-IV
- SEED
- SEED
3 variant names, as the archive lists them.
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