Buckets:
| { | |
| "dataset": "Traffic", | |
| "model_name": "GLinear", | |
| "model_links": [], | |
| "paper_title": "Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction", | |
| "paper_url": "https://arxiv.org/abs/2501.01087v3", | |
| "metrics": { | |
| "MSE ": "0.3222" | |
| }, | |
| "table_metrics": { | |
| "MSE ": "0.3222" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\nPaper: Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction\nCodebase: Repository not available\n\nImprove the GLinear model on the Traffic dataset. The result should improve on the following metrics: {'MSE ': '0.3222'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 733 Bytes
- Xet hash:
- a3d46193df3c2da33d0690d2d381dc6f62641b3becbedc7dd63633bcb4da993c
·
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