File size: 2,059 Bytes
a9e46a4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 | import os
from pathlib import Path
from typing import List
import click
from datasets import load_from_disk, Dataset
from huggingface_hub import HfApi
def find_dataset_dirs(root: Path) -> List[Path]:
if not root.exists():
return []
candidates: List[Path] = []
for info_file in root.rglob("dataset_info.json"):
ds_dir = info_file.parent
if (ds_dir / "state.json").exists():
candidates.append(ds_dir)
return sorted({p.resolve() for p in candidates})
def get_published_dataset_name(rel: Path) -> str:
rel_str = rel.as_posix()
rel_parts = rel_str.split("__")
task_name = rel_parts[0]
dataset_name = rel_parts[-1]
return f"{task_name}.{dataset_name}"
@click.command(context_settings={"help_option_names": ["-h", "--help"]})
@click.option(
"--out-dir",
type=click.Path(path_type=Path),
default=Path("data") / "hf",
show_default=True,
help="Directory containing saved Hugging Face datasets (produced by the preprocessing script).",
)
@click.option(
"--namespace",
type=str,
required=True,
help="Hugging Face user or organization to publish under (e.g., 'your-username').",
)
def main(
out_dir: Path,
namespace: str,
) -> None:
out_dir = out_dir.resolve()
api = HfApi()
ds_dirs = find_dataset_dirs(out_dir)
if not ds_dirs:
click.echo(f"No datasets found under: {out_dir}")
raise SystemExit(0)
for idx, ds_path in enumerate(ds_dirs, start=1):
rel = ds_path.relative_to(out_dir)
published_dataset_name = get_published_dataset_name(rel)
repo_id = f"{namespace}/{published_dataset_name}"
click.echo(f"[{idx}/{len(ds_dirs)}] Publishing {published_dataset_name}")
api.create_repo(
repo_id=repo_id, repo_type="dataset", private=False, exist_ok=True
)
ds = load_from_disk(str(ds_path))
ds.push_to_hub(
repo_id=repo_id, commit_message=f"Add {published_dataset_name} dataset"
)
if __name__ == "__main__":
main()
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