| from huggingface_hub import HfApi
|
| import os
|
| import zipfile
|
| from tqdm import tqdm
|
|
|
| TOKEN = os.environ.get("HF_TOKEN", "")
|
| api = HfApi(token=TOKEN)
|
|
|
| base = r"D:\desktop\paper\abs"
|
| repo_id = "zzhowe1207/tet"
|
|
|
|
|
| api.create_repo(repo_id=repo_id, repo_type="dataset", exist_ok=True)
|
|
|
|
|
| print(">>> 扫描数据集文件...")
|
| data_path = os.path.join(base, "data")
|
|
|
|
|
| all_files = []
|
| for root, dirs, files in os.walk(data_path):
|
| for file in files:
|
| fpath = os.path.join(root, file)
|
| all_files.append((fpath, os.path.relpath(fpath, base)))
|
|
|
| print(f"共 {len(all_files)} 个文件")
|
|
|
|
|
| full_zip = os.path.join(base, "data_full.zip")
|
| print("\n>>> 压缩数据集...")
|
| with zipfile.ZipFile(full_zip, 'w', zipfile.ZIP_DEFLATED) as zipf:
|
| for fpath, arcname in tqdm(all_files, desc="压缩进度", unit="file"):
|
| zipf.write(fpath, arcname)
|
|
|
| full_size = os.path.getsize(full_zip)
|
| print(f"\n总大小: {full_size/1024/1024/1024:.2f} GB")
|
|
|
|
|
| volume_size = 1024 * 1024 * 1024
|
| volume_num = (full_size + volume_size - 1) // volume_size
|
| print(f"分成 {volume_num} 卷 (每卷1GB)")
|
|
|
| print("\n>>> 生成分卷...")
|
| with open(full_zip, 'rb') as f:
|
| for i in tqdm(range(volume_num), desc="分卷进度", unit="vol"):
|
| chunk = f.read(volume_size)
|
| vol_path = os.path.join(base, f"data.zip.{i+1:03d}")
|
| with open(vol_path, 'wb') as vol:
|
| vol.write(chunk)
|
|
|
| os.remove(full_zip)
|
|
|
|
|
| print("\n>>> 上传分卷到 Hugging Face...")
|
| volumes = [os.path.join(base, f"data.zip.{i+1:03d}") for i in range(volume_num)]
|
|
|
| for i, vol_path in enumerate(tqdm(volumes, desc="上传进度", unit="vol")):
|
| vol_name = f"data.zip.{i+1:03d}"
|
| api.upload_file(
|
| path_or_fileobj=vol_path,
|
| path_in_repo=vol_name,
|
| repo_id=repo_id,
|
| repo_type="dataset"
|
| )
|
| os.remove(vol_path)
|
| print(f" ✓ {vol_name} 完成")
|
|
|
| print("\n数据集分卷上传完成！")
|
|
|
|
|
| print("\n>>> 上传 LLaMA-Factory...")
|
| api.upload_folder(
|
| folder_path=os.path.join(base, "LLaMA-Factory"),
|
| path_in_repo="LLaMA-Factory",
|
| repo_id=repo_id,
|
| repo_type="dataset"
|
| )
|
| print(" ✓ LLaMA-Factory 完成")
|
|
|
| print(">>> 上传 script...")
|
| api.upload_folder(
|
| folder_path=os.path.join(base, "script"),
|
| path_in_repo="script",
|
| repo_id=repo_id,
|
| repo_type="dataset"
|
| )
|
| print(" ✓ script 完成")
|
|
|
| print("\n" + "="*50)
|
| print("搞定！")
|
| print("="*50)
|
| print("\n合并命令: copy /b data.zip.001 + data.zip.002 + ... data.zip") |
