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41f037f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | #!/usr/bin/env python3
"""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)
# Gated: users fill in the form from README.md before they can download files.
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()
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