Buckets:
| { | |
| "dataset": "Astock", | |
| "model_name": "SRL&Factors", | |
| "model_links": [], | |
| "paper_title": "FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model", | |
| "paper_url": "https://arxiv.org/abs/2403.02647v1", | |
| "metrics": { | |
| "Accuray": "69.48", | |
| "F1-score": "69.28", | |
| "Precision": "69.54", | |
| "Recall": "69.41" | |
| }, | |
| "table_metrics": { | |
| "Accuray": "69.48", | |
| "F1-score": "69.28", | |
| "Precision": "69.54", | |
| "Recall": "69.41" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\nPaper: FinReport: Explainable Stock Earnings Forecasting via News Factor Analyzing Model\nCodebase: Repository not available\n\nImprove the SRL&Factors model on the Astock dataset. The result should improve on the following metrics: {'Accuray': '69.48', 'F1-score': '69.28', 'Precision': '69.54', 'Recall': '69.41'}. You must use only the codebase provided." | |
| ] | |
| } |
Xet Storage Details
- Size:
- 897 Bytes
- Xet hash:
- 5587b6d4050bca4dcf969e61bfef7d5da6e0f7ac823cab4c211f0dcd36edbc40
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.