Buckets:
| from huggingface_hub import login, upload_folder | |
| # (optional) Login with your Hugging Face credentials | |
| login() | |
| # Push your dataset files | |
| upload_folder(folder_path=".", repo_id="bepipeV/Vinayak-Multistep-Recursive-Reasoning-Benchmark", repo_type="dataset") | |
Xet Storage Details
- Size:
- 265 Bytes
- Xet hash:
- 1aa01766aa6f5713a68c8fea7cc265ddb954559c19f50ed9979018257abd5ebd
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.