MISID: A Multimodal Multi-turn Dataset for Complex Intent Recognition in Strategic Deception Games

1. 1Collect and preprocess the MISID dataset for multimodal multi-turn intent recognition
2. 2Train a model using the MISID dataset to recognize complex human intent in strategic deception games
3. 3Evaluate the performance of the model on the MISID dataset using metrics such as accuracy and F1-score
4. 4Fine-tune the model by incorporating additional features or modalities to improve its performance
5. 5Apply the trained model to real-world scenarios involving sophisticated strategic interactions

NLP engineers and researchers working on human-computer interaction, behavioral analysis, and intent recognition can benefit from this dataset to improve their models' performance in complex scenarios

💡 MISID dataset enables recognition of complex human intent in multi-turn interactions, filling a gap in existing intent recognition datasets

🤖 Improve intent recognition in strategic deception games with MISID, a new multimodal multi-turn dataset! 📊