Buckets:
| { | |
| "dataset": "CIFAR-10", | |
| "model_name": "ABNet-2G-R0", | |
| "paper_title": "ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities", | |
| "paper_url": "https://arxiv.org/abs/2411.19213v1", | |
| "code_links": [], | |
| "metrics": { | |
| "Percentage correct": "94.118" | |
| }, | |
| "table_metrics": { | |
| "Percentage correct": "94.118" | |
| }, | |
| "prompts": [ | |
| "Given the following paper and codebase:\n Paper: ANDHRA Bandersnatch: Training Neural Networks to Predict Parallel Realities\n Codebase: https://github.com/dvssajay/New_World\n\n Improve the ABNet-2G-R0 model on the CIFAR-10 dataset. The result\n should improve on the following metrics: {'Percentage correct': '94.118'}. You must use only the codebase provided.\n " | |
| ] | |
| } |
Xet Storage Details
- Size:
- 750 Bytes
- Xet hash:
- fa58087dd57fe262cd04ec3f28395a35cfee3a58743b66887ef8159c078416e1
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