Access Request for MER-PS Evaluation Data
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
Access is limited to non-commercial scientific research. The files include the raw EEG/fNIRS signals and ground-truth valence-arousal labels used for the MER 2026 public leaderboard. Requesters must provide accurate Codabench team and account information, protect participant privacy, avoid re-identification and redistribution, and must not use these released labels to tune or submit models to an active MER 2026 leaderboard.
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MER-PS Public Leaderboard Data
This release contains the four subject-disjoint test participants used for the public leaderboard of the MER 2026 MER-PS Physiological Signal-Based Emotion challenge. It is released for non-commercial research and reproducible evaluation.
Contents
MER_PS_public_leaderboard_hf/
├── data/
│ ├── predict1/
│ ├── predict2/
│ ├── predict3/
│ └── predict4/
├── annotations/
│ ├── predict1_label.mat
│ ├── predict2_label.mat
│ ├── predict3_label.mat
│ └── predict4_label.mat
├── targets.csv
├── sample_ids.csv
├── Targeted_emotions.txt
├── fNIRS_coordinates.csv
└── fNIRS_reservations.csv
Each data/<subject>/ directory contains synchronized EEG and fNIRS recordings:
data/<subject>/
├── EEG_baselines.mat
├── EEG_videos.mat
├── fNIRS_baselines.mat
└── fNIRS_videos.mat
Dynamic Labels
annotations/<subject>_label.mat follows the original REFED annotation layout. Each file contains video_1 through video_15. Each variable is an integer matrix of shape 2 x T sampled at 1 Hz:
- row 1: valence
- row 2: arousal
Labels use the original integer scale [1, 255]; (128, 128) is the center of the valence-arousal plane. targets.csv is the equivalent row-wise representation with columns sample_id, valence, and arousal.
The sample_id convention is predictN_VVV_TTT, where VVV is the one-based video index and TTT is the zero-based 1 Hz timestamp.
License
This dataset is available for non-commercial research under CC BY-NC-SA 4.0.
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