Movie
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Federated Recommendation | Movie | Recall20.87 | 18 | |
| Goal-oriented Dialogue | Movie | Success Rate85.52 | 17 | |
| Sentiment Classification | Movie | Accuracy0.9117 | 16 | |
| Text-to-Video generation | Movie 17 frames, 512x512 (val) | UR50.8 | 11 | |
| Dialogue Evaluation | Movie Eval | Spearman Correlation0.649 | 10 | |
| CTR prediction | Movie 20M (test) | AUC97.04 | 10 | |
| Text-to-Video generation | Movie 17 frames, 256x256 (val) | UR39.1 | 9 | |
| Video Reconstruction | Movie (val) | PSNR40.31 | 9 | |
| Sequential Recommendation | Movie (test) | HR@1012.29 | 9 | |
| Sentiment Analysis | Movie English (test) | F1 Score0.7478 | 8 | |
| Copyright Content Detection | Movie | Accg43.2 | 7 | |
| Slot Filling | Movie (test) | F1 Score83.98 | 7 | |
| Slot Filling | Movie | Correct Turn21.5 | 7 | |
| Centralized Recommendation | Movie | Recall@204.8 | 6 | |
| Label Distribution Learning | Movie (10-fold cross validation) | K-L Divergence0.073 | 6 | |
| Object Retrieval | Movie Device-4 (test) | Accuracy@11 | 5 | |
| Object Retrieval | Movie Device-3 (test) | Accuracy@1100 | 5 | |
| Object Retrieval | Movie Device-2 (test) | Accuracy@1100 | 5 | |
| Object Retrieval | Movie Device-1 (test) | Acc@11 | 5 | |
| Label Distribution Learning | Movie (3 random splits) | KL Div0.06 | 5 | |
| Planning | Movie PDDL domain Standard | Tasks Solved1 | 5 | |
| Named Entity Recognition | Movie | F1 Score63 | 5 | |
| Sentiment Analysis | Movie (test) | Throughput (sentences/sec)3.52 | 3 | |
| Text-to-Video generation | Movie 81 frames, 256x256 (val) | UR40.8 | 2 | |
| Centralized Recommendation | Movie (test) | Recall@20- | 0 |
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