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#!/usr/bin/env python3
"""Within Us AI: Upload helper for Genesis repos.
Requires:
pip install datasets huggingface_hub pyarrow pandas
Usage:
huggingface-cli login
python scripts/hf_upload.py --repo_id YOURNAME/REPO --data_dir data
"""
from __future__ import annotations
import argparse
from pathlib import Path
from datasets import load_dataset
def main() -> int:
ap = argparse.ArgumentParser()
ap.add_argument("--repo_id", required=True)
ap.add_argument("--data_dir", default="data")
ap.add_argument("--private", action="store_true")
args = ap.parse_args()
d = Path(args.data_dir)
# Prefer parquet if present
parquet_train = str(d / "train-*.parquet")
parquet_val = str(d / "validation-*.parquet")
ds = load_dataset("parquet", data_files={"train": parquet_train, "validation": parquet_val})
if len(ds["train"]) == 0:
ds = load_dataset("json", data_files={"train": str(d/"train-*.jsonl"), "validation": str(d/"validation-*.jsonl")})
ds.push_to_hub(args.repo_id, private=args.private)
print(f"Uploaded to https://huggingface.co/datasets/{args.repo_id}")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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