MER2024: Multimodal Emotion Recognition Challenge Dataset

MER2024 is a large-scale multimodal dataset released for the MER24 Challenge at IJCAI. It builds upon the MER23 and MRAC23 datasets from ACM Multimedia, expanding data volume and task diversity. The dataset aims to advance robust and practical multimodal emotion recognition.

Use Cases

• Benchmarking multimodal emotion recognition models based on challenge tasks
• Training models for robust emotion recognition based on expanded data volume
• Evaluating model performance on real-world challenges based on task diversity

Strengths

• Dataset is large-scale, suggesting substantial data volume
• Builds upon prior datasets MER23 and MRAC23, indicating a lineage of refinement
• Expands task diversity to better reflect real-world challenges

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

MERChallenge

Freshness

Last updated 2025-05-06 16:40:22