Beijing
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Time Series Forecasting | Beijing | Delta-Cov-3.08 | 42 | |
| Time Series Uncertainty Quantification | Beijing (test) | Delta-Cov-8.05 | 21 | |
| Tabular Data Generation | Beijing | DCR-0020.0001 | 20 | |
| Air quality forecasting | Beijing 3-day forecast | MAE39.16 | 17 | |
| Air quality forecasting | Beijing 2-day forecast | MAE35.42 | 17 | |
| Air quality forecasting | Beijing 1-day forecast | MAE29.47 | 17 | |
| Urban Perception | Beijing (BJ) | Hit@534.17 | 16 | |
| Image Retrieval | Beijing (BJ) | Hit@562.57 | 16 | |
| Geolocation Ranking | Beijing (BJ) | Hit@571.92 | 16 | |
| Urban Time Series Prediction | Beijing (test) | RMSE6.72 | 13 | |
| life service recall | Beijing (test) | Recall@1010.405 | 12 | |
| Tabular Data Generation | Beijing (test) | MLE0.423 | 12 | |
| Tabular Data Privacy Evaluation | Beijing | DCR-0050.0037 | 10 | |
| Tabular Data Generation | Beijing | NMIS0.9978 | 10 | |
| Tabular Data Generation | Beijing | TREND97.81 | 10 | |
| Tabular Data Synthesis | Beijing | WNMIS0.9927 | 10 | |
| Tabular Data Generation | Beijing | C2ST (LR)0.9989 | 10 | |
| Spatio-Temporal Forecasting | Beijing N=35, C=6 (test) | MAE15.29 | 9 | |
| Tabular Data Generation | Beijing | Beta Recall64.21 | 9 | |
| Tabular Data Generation | Beijing | alpha-PRECISION99.51 | 9 | |
| Trajectory Generation | Beijing 168 hours | Displacement0.0004 | 9 | |
| Tabular Data Synthesis | Beijing | Density Similarity (Single-Column)98 | 9 | |
| CO2 Prediction | Beijing (BJ) | MAE143.53 | 8 | |
| Population Prediction | Beijing (BJ) | MAE525.1 | 8 | |
| GDP Prediction | Beijing (BJ) | MAE104.16 | 8 |
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