Multimodal EmotionLines Dataset
Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset. MELD contains the same dialogue instances available in EmotionLines, but it also encompasses audio and visual modality along with text. MELD has more than 1400 dialogues and 13000 utterances from Friends TV series. Multiple speakers participated in the dialogues. Each utterance in a dialogue has been labeled by any of these seven emotions -- Anger, Disgust, Sadness, Joy, Neutral, Surprise and Fear. MELD also has sentiment (positive, negative and neutral) annotation for each utterance.
Source: https://affective-meld.github.io/
Image Source: https://affective-meld.github.io/
Variants: MELD
This dataset is used in 2 benchmarks:
| Task | Model | Paper | Date |
|---|---|---|---|
| Multimodal Emotion Recognition | GraphSmile | Tracing Intricate Cues in Dialogue: … | 2024-07-31 |
| Facial Expression Recognition | ConCluGen | Multi-Task Multi-Modal Self-Supervised Learning for … | 2024-04-16 |
| Multimodal Emotion Recognition | Joyful | Joyful: Joint Modality Fusion and … | 2023-11-18 |
| Multimodal Emotion Recognition | Audio + Text (Stage III) | HCAM -- Hierarchical Cross Attention … | 2023-04-14 |
Recent papers with results on this dataset: