Thank you for your attention to our work. The relevant code will be released soon.
| Dataset | Language | Modality | Dialogues | Utterances | Emotion annotation | Download link |
|---|---|---|---|---|---|---|
| IEMOCAP | English | video, audio, text | 151 | 7433 | 10 emotions | IEMOCAP |
| MELD | English | video, audio, text | 1433 | 13708 | 7 emotions, 3 sentiments | MELD |
| Dailydialog | English | text | 13118 | 102979 | 7 emotions | Dailydialog |
| EmoryNLP | English | text | 897 | 12606 | 7 emotions | EmoryNLP |
| SEMAIN | English | video | 959 | - | 4 dimensions | SEMAIN |
| EmotionLines | English | text | 2000 | 29245 | 7 emotions | EmotionLines |
| Mastodon | English | text | 535 | 2217 | 3 sentiments, 27 acts | Mastodon |
| EmoInt-MD | English | video, audio, text | 32223 | 724756 | 32 emotions, 15 intents | EmoInt-MD |
| SEMD | English | video, audio, text | 55041 | 1066677 | 8 emotions, 3 sentiments | - |
| CICERO | English | text | 5672 | - | 5 inferences | CICERO |
| MEISD | English | video, audio, text | 1000 | 20000 | 8 emotions, 3 sentiments | MEISD |
| CPED | Chinese | video, audio, text | 12000 | 133000 | 13 emotions, 3 sentiments | CPED |
| M3ED | Chinese | video, audio, text | 990 | 24449 | 7 emotions | M3ED |
Thank you again for your interest in our research work! This is repo for paper: 《A survey of dialogic emotion analysis: Developments, approaches and perspectives》