upload.py

from huggingface_hub import HfApi

api = HfApi()

# 请替换以下参数
REPO_ID = "Prummn/VOICES_devkit_test"
LOCAL_FOLDER = "./" # 您本地70G文件夹的路径

print(f"开始上传 {LOCAL_FOLDER} 到 {REPO_ID}...")

try:
    api.upload_large_folder(
        repo_id=REPO_ID,
        repo_type="dataset",  # 如果是模型请改为 "model"
        folder_path=LOCAL_FOLDER,
        num_workers=32         # 根据您的CPU核心数和网络带宽调整，通常 8-16 比较合适
    )
    print("上传成功！")
except Exception as e:
    print(f"上传过程中发生错误: {e}")
    print("您可以直接重新运行此脚本，它会从断点处继续，不会重新上传已完成的文件。")