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Dataset assetOpen Source CommunityMachine LearningNatural Language Processing
MER2023
This dataset focuses on the Chinese language environment and can be used as a benchmark for multi‑label learning, noise robustness, and semi‑supervised learning research.
Source
arXiv
Created
Jan 7, 2024
Updated
Apr 21, 2024
Signals
694 views
Availability
Linked source ready
Overview
Dataset description and usage context
Dataset Overview
MER2023
Dataset
- To download the dataset, complete the EULA and send it to lianzheng2016@ia.ac.cn.
- Participants may use the dataset only for academic research and may not edit or upload samples to the Internet.
Baselines
- Paper: MER 2023: Multi‑label Learning, Modality Robustness, and Semi‑Supervised Learning
- Authors: Zheng Lian, Haiyang Sun, Licai Sun, Jinming Zhao, Ye Liu, Bin Liu, Jiangyan Yi, Meng Wang, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
- Code: see ./MER2023
MERBench
Dataset
- Paper: MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition
- Authors: Zheng Lian, Licai Sun, Yong Ren, Hao Gu, Haiyang Sun, Lan Chen, Bin Liu, Jianhua Tao
- Code: see ./MERBench
MER2024
Dataset
- To download the dataset, complete the EULA and send it to merchallenge.contact@gmail.com.
- Participants may use the dataset only for academic research and may not edit or upload samples to the Internet.
Baselines
- Paper: MER 2024: Semi‑Supervised Learning, Noise Robustness, and Open‑Vocabulary Multimodal Emotion Recognition
- Authors: Zheng Lian, Haiyang Sun, Licai Sun, Zhuofan Wen, Siyuan Zhang, Shun Chen, Hao Gu, Jinming Zhao, Ziyang Ma, Xie Chen, Jiangyan Yi, Rui Liu, Kele Xu, Bin Liu, Erik Cambria, Guoying Zhao, Björn W. Schuller, Jianhua Tao
- Code: see ./MER2024
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