| |
| """Upload the dataset to the Hugging Face Hub. |
| |
| Uploads only README.md and data/** (raw/ and scripts/ stay local). |
| The repository is created private and gated; make it public when you are happy |
| with how it looks: python scripts/upload.py --public |
| |
| Before the first run: hf auth login (token with "Write" permission) |
| """ |
| import argparse |
| from pathlib import Path |
|
|
| from huggingface_hub import HfApi |
|
|
| ROOT = Path(__file__).resolve().parent.parent |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser() |
| parser.add_argument("--repo-id", default="aizana1/tuvan-vk-corpus") |
| parser.add_argument("--public", action="store_true", |
| help="make the repository public (it stays gated)") |
| parser.add_argument("--message", default="Upload dataset") |
| args = parser.parse_args() |
|
|
| api = HfApi() |
| print("Logged in as:", api.whoami()["name"]) |
|
|
| api.create_repo(args.repo_id, repo_type="dataset", private=True, exist_ok=True) |
| |
| api.update_repo_settings(args.repo_id, repo_type="dataset", gated="auto") |
|
|
| api.upload_folder( |
| repo_id=args.repo_id, |
| repo_type="dataset", |
| folder_path=ROOT, |
| allow_patterns=["README.md", "data/**/*.parquet"], |
| commit_message=args.message, |
| ) |
|
|
| if args.public: |
| api.update_repo_settings(args.repo_id, repo_type="dataset", private=False) |
|
|
| print(f"Done: https://huggingface.co/datasets/{args.repo_id}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
