Download scripts/upload_hf.py from lightcella/photo-corpus: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/datasets/lightcella/photo-corpus/resolve/main/scripts/upload_hf.py
- Command line
-
hf download hf://datasets/lightcella/photo-corpus/scripts/upload_hf.py
-
curl -L -o upload_hf.py https://huggingface.co/datasets/lightcella/photo-corpus/resolve/main/scripts/upload_hf.py
3.58 kB
| #!/usr/bin/env python3 | |
| """Create and upload tar shards to HuggingFace, one at a time to save disk.""" | |
| import argparse | |
| import os | |
| import tarfile | |
| from pathlib import Path | |
| from huggingface_hub import HfApi | |
| SHARD_SIZE = 1_000_000_000 # ~1GB per shard | |
| def get_existing_shards(api: HfApi, repo_id: str, prefix: str) -> set: | |
| """Check which shards already exist on HF.""" | |
| try: | |
| files = api.list_repo_files(repo_id, repo_type="dataset") | |
| return {f for f in files if f.startswith(f"{prefix}/") and f.endswith(".tar")} | |
| except Exception: | |
| return set() | |
| def upload_folder_as_shards(api: HfApi, repo_id: str, src_dir: Path, prefix: str, tmp_dir: Path): | |
| """Create tar shards from src_dir, upload each, delete after upload.""" | |
| existing = get_existing_shards(api, repo_id, prefix) | |
| if existing: | |
| print(f" Found {len(existing)} existing shards, will skip them", flush=True) | |
| files = sorted(f for f in src_dir.iterdir() if f.is_file()) | |
| shard_idx = 0 | |
| current_size = 0 | |
| shard_files = [] | |
| for f in files: | |
| shard_files.append(f) | |
| current_size += f.stat().st_size | |
| if current_size >= SHARD_SIZE: | |
| _make_and_upload(api, repo_id, shard_files, prefix, shard_idx, existing, tmp_dir) | |
| shard_idx += 1 | |
| shard_files = [] | |
| current_size = 0 | |
| if shard_files: | |
| _make_and_upload(api, repo_id, shard_files, prefix, shard_idx, existing, tmp_dir) | |
| def _make_and_upload(api: HfApi, repo_id: str, files: list, prefix: str, idx: int, | |
| existing: set, tmp_dir: Path): | |
| name = f"{prefix}-{idx:04d}.tar" | |
| repo_path = f"{prefix}/{name}" | |
| if repo_path in existing: | |
| print(f" Skipping {name} (already uploaded)", flush=True) | |
| return | |
| tar_path = tmp_dir / name | |
| print(f" Creating {name} ({len(files)} files)...", flush=True) | |
| with tarfile.open(tar_path, "w") as tar: | |
| for f in files: | |
| tar.add(f, arcname=f.name) | |
| size_mb = tar_path.stat().st_size / 1_000_000 | |
| print(f" Uploading {name} ({size_mb:.0f} MB)...", flush=True) | |
| api.upload_file( | |
| path_or_fileobj=str(tar_path), | |
| path_in_repo=repo_path, | |
| repo_id=repo_id, | |
| repo_type="dataset", | |
| ) | |
| tar_path.unlink() | |
| print(f" Done {name}", flush=True) | |
| def main(): | |
| parser = argparse.ArgumentParser(description="Upload photo shards to HuggingFace") | |
| parser.add_argument("--src-dir", type=Path, required=True, | |
| help="Directory containing photos to upload") | |
| parser.add_argument("--prefix", default="yfcc", | |
| help="Prefix for shard names in repo (default: yfcc)") | |
| parser.add_argument("--repo", default="lightcella/photo-corpus", | |
| help="HuggingFace dataset repo ID") | |
| parser.add_argument("--tmp-dir", type=Path, default=Path("."), | |
| help="Directory for temporary tar files (default: current dir)") | |
| parser.add_argument("--shard-size", type=int, default=SHARD_SIZE, | |
| help="Target shard size in bytes (default: 1GB)") | |
| args = parser.parse_args() | |
| global SHARD_SIZE | |
| SHARD_SIZE = args.shard_size | |
| api = HfApi() | |
| args.tmp_dir.mkdir(parents=True, exist_ok=True) | |
| n_files = sum(1 for f in args.src_dir.iterdir() if f.is_file()) | |
| print(f"Uploading {n_files} files from {args.src_dir} as '{args.prefix}' shards...") | |
| upload_folder_as_shards(api, args.repo, args.src_dir, args.prefix, args.tmp_dir) | |
| print("All done!") | |
| if __name__ == "__main__": | |
| main() | |