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https://huggingface.co/datasets/AutomatedScientist/og2_small/resolve/main/scripts/species_overlap.py
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curl -L -o species_overlap.py https://huggingface.co/datasets/AutomatedScientist/og2_small/resolve/main/scripts/species_overlap.py
1.64 kB
| """Species overlap between splits (S__ tags of the kept windows): how many of a split's species also occur in train. | |
| python species_overlap.py [--root .] [--splits heldout valid] [--ref train] | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import re | |
| from pathlib import Path | |
| def species(root: Path, split: str) -> dict[str, int]: | |
| """species -> bases in the split's selected windows.""" | |
| sel_path = root / split / "selected.json" | |
| sel = json.loads(sel_path.read_text())["shards"] if sel_path.exists() else None | |
| out: dict[str, int] = {} | |
| for jl in sorted((root / split).glob("*/*.jsonl")): | |
| rows = [json.loads(line) for line in jl.read_text().splitlines()] | |
| ids = sel.get(str(jl.with_suffix("").relative_to(root)), []) if sel is not None else range(len(rows)) | |
| for i in ids: | |
| m = re.search(r"S__([^;|]*)", rows[i]["tag"]) | |
| if m: | |
| out[m.group(1)] = out.get(m.group(1), 0) + rows[i]["len"] | |
| return out | |
| def main() -> None: | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--root", type=Path, default=Path(".")) | |
| ap.add_argument("--splits", nargs="+", default=["heldout", "valid"]) | |
| ap.add_argument("--ref", default="train") | |
| a = ap.parse_args() | |
| ref = species(a.root, a.ref) | |
| for split in a.splits: | |
| sp = species(a.root, split) | |
| shared = set(sp) & set(ref) | |
| tagged = sum(sp.values()) | |
| print(f"{split}: {len(sp)} species, {len(shared)} also in {a.ref} " | |
| f"({sum(sp[s] for s in shared) / max(tagged, 1):.1%} of its tagged bases)") | |
| if __name__ == "__main__": | |
| main() | |