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license: cc-by-nc-4.0 |
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viewer: false |
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extra_gated_prompt: >- |
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Explicit consent is given from Intelligent Interaction Group for academic research purposes only. |
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The rights to the annotation of the MER dataset belong to Intelligent Interaction Group. |
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No legal claims of any kind can be derived from accepting or using the dataset. |
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Intelligent Interaction Group shall not be held liable for any damage resulting from accessing or using the dataset or any other files provided. |
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The licensee is not permitted to distribute the dataset or any derivative files (such as annotation or labeling files) to third parties, |
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nor may they modify the dataset without prior written consent from Intelligent Interaction Group. |
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- en |
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# MER2025 Dataset |
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Welcome to the official dataset for the **[MER2025 Challenge@ACM MM](https://zeroqiaoba.github.io/MER2025-website/)**! |
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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: |
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### **"Affective Computing Meets Large Language Models"** |
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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. |
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Baseline code is available here: [MERTools for MER2025](https://github.com/zeroQiaoba/MERTools/tree/master/MER2025) |
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## 🌐 News |
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- **April 30, 2025**: MER25 Challenge and MRAC25 Workshop website launched! |
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## 🔥 Challenge Tracks |
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MER2025 features four tracks: |
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### Track 1. MER-SEMI |
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Enhancing categorical emotion recognition through **semi-supervised learning**. |
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Participants are encouraged to leverage methods such as masked auto-encoders and contrastive learning to improve performance using both labeled and unlabeled data. |
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- Predict one label from six categories: **worried, happy, neutral, angry, surprise, sad**. |
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### Track 2. MER-FG |
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Moving beyond basic emotions to **fine-grained emotional states**[1, 2]. |
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Participants can use LLMs to predict **any emotion labels**, capturing more nuanced emotional expressions. |
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### Track 3. MER-DES |
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Integrating **multimodal clues** for **explainable emotion recognition**[2, 3]. |
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Instead of relying solely on emotion words, participants must submit **both multimodal evidence and emotion labels**, enhancing interpretability. |
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### Track 4. MER-PR |
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Exploring the relationship between **emotion recognition and personality prediction**. |
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Participants are encouraged to use techniques like multi-task learning to determine whether better emotion recognition improves personality prediction. |
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- Related references: |
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- [1] OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition. [arXiv:2410.01495](https://arxiv.org/abs/2410.01495) |
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- [2] AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models. [arXiv:2501.16566](https://arxiv.org/abs/2501.16566) |
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- [3] Explainable Multimodal Emotion Recognition. [arXiv:2306.15401v5](https://arxiv.org/abs/2306.15401) |
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## 📂 Dataset Access |
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- **Academic use only**: Access to the dataset requires signing an EULA (End-User License Agreement). |
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- **No redistribution**: Uploading the dataset to any public platform or modifying it is prohibited. |
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- **Approval required**: After submitting the EULA on Hugging Face, access will be granted upon approval. |
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## 📥 Access Instructions |
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After your access request has been approved, the dataset download instructions will be provided in the file: |
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**`README_AFTER_APPROVAL.md`** |
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Please carefully review the LICENSE and EULA requirements before submitting your access request. |
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--- |
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## 🧪 Result Submission |
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- For **MER-SEMI**, **MER-FG**, and **MER-DES**: |
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- Submit predictions for **20,000** selected candidate samples (subsets of the original 124k unlabeled samples). |
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- For **MER-PR**: |
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- Submit predictions directly on the provided test set. |
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Each track has different prediction formats and targets as described above. |
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## 📝 Paper Submission |
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All participants are highly encouraged to submit a paper describing their proposed solutions to the **Workshop Proceedings** or **Challenge Proceedings**, held as part of ACM Multimedia 2025. |
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- **Baseline paper**: https://arxiv.org/abs/2504.19423 |
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- **Baseline code**: https://github.com/zeroQiaoba/MERTools/tree/master/MER2025 |
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- **Contact email**: [email protected]; [email protected] |
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--- |
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## 📅 Important Dates |
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| Event | Date | |
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| :--- | :--- | |
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| Data, baseline paper & code available | April 30, 2025 | |
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| Results submission start | June 26, 2025 | |
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| Results submission deadline |July 13, 2025, noon UTC |
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| Paper submission deadline | July 20, 2025 | |
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| Paper acceptance notification | August 1, 2025 | |
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| Camera-ready paper deadline | August 11, 2025 | |
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| MRAC25 Workshop@ACM MM (Dublin, Ireland) | Oct 27-31, 2025 | |
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<!-- > ⏰ All deadlines are **23:59 Anywhere on Earth (AoE)**. --> |
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--- |
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## 📫 Contact |
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For any questions, collaborations, or issues: |
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> **[email protected]** |
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You can also raise an issue in the [MERTools GitHub repository](https://github.com/zeroQiaoba/MERTools/tree/master/MER2025). |
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# 🛡️ License |
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© 2025 Intelligent Interaction Group. All rights reserved. |
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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](https://github.com/zeroQiaoba/MERTools/blob/master/MER2025/LICENSE) with additional usage restrictions. |
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**Users must:** |
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- Sign and submit the EULA. |
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- Obtain approval before accessing the data. |
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- Use the dataset solely for non-commercial academic research purposes. |
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- Not modify, redistribute, or publish the dataset or any derivative works without prior written consent. |
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📄 Please refer to the [LICENSE file](https://github.com/zeroQiaoba/MERTools/blob/master/MER2025/LICENSE) for full license and usage details. |
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