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MER2025 Dataset
Welcome to the official dataset for the MER2025 Challenge@ACM MM!
MER2025 marks the third edition of our Multimodal Emotion Recognition (MER) series of challenges, aiming to bring together the affective computing community to explore emerging trends and future directions. This year, MER2025 focuses on the theme:
"Affective Computing Meets Large Language Models"
We seek to shift from traditional categorical emotion recognition frameworks, which rely on predefined taxonomies, towards LLM-driven generative methods, offering innovative solutions for more accurate and interpretable emotion understanding.
Baseline code is available here: MERTools for MER2025
🌐 News
- April 30, 2025: MER25 Challenge and MRAC25 Workshop website launched!
🔥 Challenge Tracks
MER2025 features four tracks:
Track 1. MER-SEMI
Enhancing categorical emotion recognition through semi-supervised learning.
Participants are encouraged to leverage methods such as masked auto-encoders and contrastive learning to improve performance using both labeled and unlabeled data.
- Predict one label from six categories: worried, happy, neutral, angry, surprise, sad.
Track 2. MER-FG
Moving beyond basic emotions to fine-grained emotional states[1, 2].
Participants can use LLMs to predict any emotion labels, capturing more nuanced emotional expressions.
Track 3. MER-DES
Integrating multimodal clues for explainable emotion recognition[2, 3].
Instead of relying solely on emotion words, participants must submit both multimodal evidence and emotion labels, enhancing interpretability.
Track 4. MER-PR
Exploring the relationship between emotion recognition and personality prediction.
Participants are encouraged to use techniques like multi-task learning to determine whether better emotion recognition improves personality prediction.
- Related references:
- [1] OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition. arXiv:2410.01495
- [2] AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models. arXiv:2501.16566
- [3] Explainable Multimodal Emotion Recognition. arXiv:2306.15401v5
📂 Dataset Access
- Academic use only: Access to the dataset requires signing an EULA (End-User License Agreement).
- No redistribution: Uploading the dataset to any public platform or modifying it is prohibited.
- Approval required: After submitting the EULA on Hugging Face, access will be granted upon approval.
📥 Access Instructions
After your access request has been approved, the dataset download instructions will be provided in the file:README_AFTER_APPROVAL.md
Please carefully review the LICENSE and EULA requirements before submitting your access request.
🧪 Result Submission
- For MER-SEMI, MER-FG, and MER-DES:
- Submit predictions for 20,000 selected candidate samples (subsets of the original 124k unlabeled samples).
- For MER-PR:
- Submit predictions directly on the provided test set.
Each track has different prediction formats and targets as described above.
📝 Paper Submission
All participants are encouraged to submit a paper describing their solutions to the MRAC25 Workshop held at ACM Multimedia 2025.
- Baseline paper: xxx
- Baseline code: https://github.com/zeroQiaoba/MERTools/tree/master/MER2025
- Contact email: [email protected]; [email protected]
📅 Important Dates
| Event | Date |
|---|---|
| Data, baseline paper & code available | April 30, 2025 |
| Results submission start | June 26, 2025 |
| Results submission deadline | July 10, 2025 |
| Paper submission deadline | July 20, 2025 |
| Paper acceptance notification | August 1, 2025 |
| Camera-ready paper deadline | August 11, 2025 |
| MRAC25 Workshop@ACM MM (Dublin, Ireland) | Oct 27-31, 2025 |
⏰ All deadlines are 23:59 Anywhere on Earth (AoE).
📫 Contact
For any questions, collaborations, or issues:
You can also raise an issue in the MERTools GitHub repository.
🛡️ License
© 2025 Intelligent Interaction Group. All rights reserved.
This dataset is made available for academic research purposes only under a custom End-User License Agreement (EULA) and a customized CC BY-NC 4.0 License with additional usage restrictions.
Users must:
- Sign and submit the EULA.
- Obtain approval before accessing the data.
- Use the dataset solely for non-commercial academic research purposes.
- Not modify, redistribute, or publish the dataset or any derivative works without prior written consent.
📄 Please refer to the LICENSE file for full license and usage details.
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