Datasets:
Download upload.py from chembricks/chemistry-knowledge: direct link, hf CLI and curl.
- Browser
- Download file 1.55 kB
-
https://huggingface.co/datasets/chembricks/chemistry-knowledge/resolve/main/upload.py
- Command line
-
hf download hf://datasets/chembricks/chemistry-knowledge/upload.py
-
curl -L -o upload.py https://huggingface.co/datasets/chembricks/chemistry-knowledge/resolve/main/upload.py
1.55 kB
| """Upload only the verified public files to a named Hugging Face dataset.""" | |
| import argparse | |
| import os | |
| from pathlib import Path | |
| import sys | |
| sys.dont_write_bytecode = True | |
| ROOT = Path(__file__).resolve().parent | |
| def main(): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--repo-id", required=True, help="Your organization/dataset-name") | |
| parser.add_argument("--private", action="store_true", help="Create a new repository as private") | |
| args = parser.parse_args() | |
| if "/" not in args.repo_id or args.repo_id.startswith("YOUR_ORG/"): | |
| parser.error("Supply your actual organization and dataset name.") | |
| if not os.environ.get("HF_TOKEN"): | |
| parser.error("Supply HF_TOKEN through your environment.") | |
| from verify import verify | |
| manifest = verify(ROOT) | |
| os.environ.setdefault("HF_HOME", str(ROOT / ".cache/huggingface")) | |
| try: | |
| from huggingface_hub import HfApi | |
| except ImportError: | |
| parser.error("The optional uploader requires the official huggingface_hub package.") | |
| api = HfApi(token=os.environ["HF_TOKEN"]) | |
| api.create_repo(args.repo_id, repo_type="dataset", private=args.private, exist_ok=True) | |
| result = api.upload_folder( | |
| repo_id=args.repo_id, repo_type="dataset", folder_path=str(ROOT), | |
| allow_patterns=sorted([*manifest["files"], "manifest.json", "SHA256SUMS"]), | |
| commit_message="Release ChemBricks curated knowledge " + manifest["release_version"], | |
| ) | |
| print(result.commit_url) | |
| if __name__ == "__main__": | |
| main() | |