#!/usr/bin/env python3 """Upload the dataset to Hugging Face and ModelScope. Requires: hf auth login modelscope login (or MODELSCOPE_API_TOKEN) """ from __future__ import annotations import argparse import os from pathlib import Path ROOT = Path(__file__).resolve().parents[1] HF_REPO = "sdcb/simdpaddleocr-dataset-v1" MS_REPO = "sdflysha/simdpaddleocr-dataset-v1" COMMIT = "Add cls_degrees and Exact CLS metric" ALLOW = [ "README.md", "dataset/**", "data/**", "scripts/*.py", ] IGNORE = [ ".venv/**", ".venv", "__pycache__/**", "*.pyc", ".git/**", ".gitignore", ] def upload_hf() -> None: from huggingface_hub import HfApi api = HfApi() user = api.whoami() print(f"HF logged in as {user['name']}") url = api.create_repo(HF_REPO, repo_type="dataset", exist_ok=True, private=False) print(f"HF repo {url}") api.upload_folder( folder_path=str(ROOT), repo_id=HF_REPO, repo_type="dataset", allow_patterns=ALLOW, ignore_patterns=IGNORE, commit_message=COMMIT, ) print(f"uploaded https://huggingface.co/datasets/{HF_REPO}") def upload_ms() -> None: from modelscope.hub.api import HubApi token = os.environ.get("MODELSCOPE_API_TOKEN") or os.environ.get("MODELSCOPE_TOKEN") api = HubApi() if token: api.login(token) print(f"MS uploading {MS_REPO}") api.upload_folder( repo_id=MS_REPO, folder_path=str(ROOT), repo_type="dataset", allow_patterns=ALLOW, ignore_patterns=IGNORE, commit_message=COMMIT, ) print(f"uploaded https://www.modelscope.cn/datasets/{MS_REPO}") def main() -> int: parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("--hf-only", action="store_true") parser.add_argument("--ms-only", action="store_true") args = parser.parse_args() do_hf = not args.ms_only do_ms = not args.hf_only if do_hf: upload_hf() if do_ms: upload_ms() return 0 if __name__ == "__main__": raise SystemExit(main())