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Add cls_degrees and Exact CLS metric
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#!/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())