import argparse from pathlib import Path def main(): ap = argparse.ArgumentParser() ap.add_argument("--repo_root", required=True) ap.add_argument("--repo_id", required=True) args = ap.parse_args() repo_root = Path(args.repo_root) cfg_root = repo_root / "data" / "configs" cfgs = sorted([p.name for p in cfg_root.iterdir() if p.is_dir()]) if not cfgs: raise RuntimeError("No configs found under data/configs. Generate configs first.") # YAML header for HF data-only configs out_lines = [] out_lines.append("---") out_lines.append("configs:") for cfg in cfgs: out_lines.append(f"- config_name: {cfg}") out_lines.append(" data_files:") out_lines.append(" - split: train") out_lines.append(f" path: \"data/configs/{cfg}/train-*.parquet\"") out_lines.append(" - split: val") out_lines.append(f" path: \"data/configs/{cfg}/val-*.parquet\"") out_lines.append(" - split: ood_test") out_lines.append(f" path: \"data/configs/{cfg}/ood_test-*.parquet\"") out_lines.append("---") out_lines.append("") example = cfgs[0] # Body (no triple-quoted strings) out_lines.append("# Tree Distribution Shift — Satellite Tree Detection (COCO export)") out_lines.append("") out_lines.append("This dataset is organized as **configs** (distribution shift settings).") out_lines.append("Each config provides 3 splits:") out_lines.append("") out_lines.append("- `train` (90% of the in-distribution pool)") out_lines.append("- `val` (10% held-out from the in-distribution pool)") out_lines.append("- `ood_test` (held-out from the out-of-distribution pool)") out_lines.append("") out_lines.append("## Super simple COCO UX") out_lines.append("") out_lines.append("Export any config into standard COCO folder structure:") out_lines.append("") out_lines.append("```bash") out_lines.append(f"python tools/export_coco.py --repo {args.repo_id} --config {example} --out ./coco_out") out_lines.append("```") out_lines.append("") out_lines.append("This writes:") out_lines.append("") out_lines.append(f"- `./coco_out/{example}/train/images/*.tiff`") out_lines.append(f"- `./coco_out/{example}/train/annotations/instances_train.json`") out_lines.append(f"- `./coco_out/{example}/val/...`") out_lines.append(f"- `./coco_out/{example}/ood_test/...`") out_lines.append("") out_lines.append("## Programmatic load (optional)") out_lines.append("") out_lines.append("```python") out_lines.append("from datasets import load_dataset") out_lines.append(f"ds = load_dataset(\"{args.repo_id}\", \"{example}\")") out_lines.append("print(ds)") out_lines.append("```") out_lines.append("") (repo_root / "README.md").write_text("\n".join(out_lines), encoding="utf-8") print(f"Wrote README.md with {len(cfgs)} configs. Example config: {example}") if __name__ == "__main__": main()