Datasets › CMU-MOSEI
CMU-MOSEI
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in online videos. CMU-MOSEI contains over 12 hours of annotated video from over 1000 speakers and 250 topics.
Benchmarks archive 2025-07-28
All 3 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Multimodal Sentiment Analysis | CMU-MOSEI | SeMUL-PCD Accuracy 88.62 | Multi-label Emotion Analysis in Conversation via... | — | 15 | Compare |
| Emotion Classification | CMU-MOSEI | MARLIN (ViT-L) Accuracy 80.63 | MARLIN: Masked Autoencoder for facial video... | ControlNet/MARLIN | 4 | Compare |
| Facial Expression Recognition | CMU-MOSEI | ConCluGen Weighted Accuracy 66.48 | Multi-Task Multi-Modal Self-Supervised Learning for... | tub-cv-group/conclugen | 1 | Compare |
Papers archive 2025-07-28
14 shown of 14 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 190. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
1 loader as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- CMU-MOSEI
1 variant name, as the archive lists them.
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