Datasets:
Download upload_to_huggingface.py from MapleBi/MetaRAG_Cross-Issue_OSSQA: direct link, hf CLI and curl.
- Browser
- Download file 366 Bytes
-
https://huggingface.co/datasets/MapleBi/MetaRAG_Cross-Issue_OSSQA/resolve/main/upload_to_huggingface.py
- Command line
-
hf download hf://datasets/MapleBi/MetaRAG_Cross-Issue_OSSQA/upload_to_huggingface.py
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curl -L -o upload_to_huggingface.py https://huggingface.co/datasets/MapleBi/MetaRAG_Cross-Issue_OSSQA/resolve/main/upload_to_huggingface.py
366 Bytes
| from pathlib import Path | |
| from huggingface_hub import login, upload_folder | |
| REPO_ID = "MapleBi/MetaRAG_Cross-Issue_OSSQA" | |
| DATASET_FOLDER = Path(__file__).resolve().parent | |
| def main() -> None: | |
| login() | |
| upload_folder( | |
| folder_path=str(DATASET_FOLDER), | |
| repo_id=REPO_ID, | |
| repo_type="dataset", | |
| ) | |
| if __name__ == "__main__": | |
| main() | |