THU-IAR/MIntRec
Dataset details In real-world conversational interactions, we usually combine information from multiple modalities (e.g., text, video, audio) to help analyze human intentions. Though intent analysis has been widely explored in the Natural Language Processing community, there is a scarcity of data for multimodal intent analysis. Thus, we provide a novel multimodal intent benchmark dataset, MIntRec, to boom the research. To the best of our knowledge, it is the first multimodal… See the full description on the dataset page: https://huggingface.co/datasets/THU-IAR/MIntRec.
| Author / organization | THU-IAR |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 3.6K (as reported by Hugging Face) |
| Likes | 1 |
| Created | 22 August 2024 |
| Last updated at source | 22 August 2024 |
Recent changes
- 16 Oct 2026 Description: Dataset details In real-world conversational interactions, we usually combine information from multiple modalities (e.g., text, video, audio) to help analyze human intentions. Though intent analysis has been widely explored in the Natural L → Dataset details In real-world conversational interactions, we usually combine information from multiple modalities (e.g., text, video, audio) to help analyze human intentions. Though intent analysis has been widely explored in the Natural L
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