Youtube
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| LF Mislabeling Identification | Youtube | AP94.9 | 32 | |
| End model evaluation | Youtube | Test Loss0.229 | 22 | |
| Sentiment Analysis | YouTube (test) | A3 Score54.2 | 15 | |
| Classification | Youtube (test) | Test Loss0.215 | 13 | |
| Pronoun Coreference Resolution | YouTube (test) | Accuracy73 | 12 | |
| Speaking Target Identification | YouTube v1.0 (test) | Accuracy74.5 | 12 | |
| Mentioned Player Prediction | YouTube (test) | Accuracy0.625 | 12 | |
| Link Prediction | YouTube | ROC AUC84.61 | 12 | |
| Speech Recognition | YouTube (test) | WER7.5 | 10 | |
| Node Embedding | YouTube | Time (s)57.1 | 10 | |
| Multi-label classification | YouTube (10% train) | Micro-F10.4643 | 10 | |
| Multi-label classification | YouTube (1% train ratio) | Micro-F140.2 | 10 | |
| Whataboutism detection | YouTube (TQ+T) | Precision (W)72 | 8 | |
| Community Detection | Youtube | F1-Score0.327 | 8 | |
| Recommender System Evaluation | YouTube | User Clicks127.113 | 7 | |
| Automatic Speech Recognition | YouTube | WER14.05 | 7 | |
| Cover Song Identification | Youtube | MAP91.7 | 7 | |
| Local Clustering | com-youtube | Operations Needed57,000 | 6 | |
| Eigenvector computation | Youtube | Median Runtime (s)2.037 | 6 | |
| Video Super-Resolution and Deblurring | YouTube (test) | PSNR26.02 | 5 | |
| Audio Cover Song Identification | Youtube350 (test) | MAP95.5 | 5 | |
| Link Prediction | YouTube (test) | MRR0.1064 | 5 | |
| Node Classification | YouTube (20% test) | Micro F1 Score40.08 | 5 | |
| Node Classification | Youtube SNAP collection (test) | Avg Accuracy0.92 | 5 | |
| Video Editing | 10 YouTube videos (test) | CLIP Score0.3361 | 4 |
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