Files
ti_coding_agent_probe/scripts/download_dataset.py

85 lines
2.6 KiB
Python
Executable File

#!/usr/bin/env python3
from __future__ import annotations
import argparse
import gzip
import os
import shutil
from pathlib import Path
from huggingface_hub import HfApi, snapshot_download
DEFAULT_REPO_NAME = "ti_coding_agent_training_probe_20260624"
def resolve_dataset_id(raw: str, token: str | None, endpoint: str | None) -> str:
if "/" in raw:
return raw
if not token:
raise SystemExit(
"HF_DATASET_REPO_ID must be owner/name when HF_TOKEN is not set. "
f"Got unqualified repo name: {raw}"
)
owner = HfApi(token=token, endpoint=endpoint).whoami()["name"]
return f"{owner}/{raw}"
def gunzip_if_needed(src: Path, dst: Path) -> None:
if dst.exists() and dst.stat().st_size > 0:
return
dst.parent.mkdir(parents=True, exist_ok=True)
with gzip.open(src, "rb") as fin, dst.open("wb") as fout:
shutil.copyfileobj(fin, fout, length=1024 * 1024)
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--dataset-id", default=os.environ.get("HF_DATASET_REPO_ID", DEFAULT_REPO_NAME))
parser.add_argument("--raw-dir", default="data/raw/training_probe")
parser.add_argument("--out-dir", default="data/processed/training_probe")
args = parser.parse_args()
token = os.environ.get("HF_TOKEN")
endpoint = os.environ.get("HF_ENDPOINT")
dataset_id = resolve_dataset_id(args.dataset_id, token, endpoint)
raw_dir = Path(args.raw_dir)
out_dir = Path(args.out_dir)
raw_dir.mkdir(parents=True, exist_ok=True)
out_dir.mkdir(parents=True, exist_ok=True)
local_path = snapshot_download(
repo_id=dataset_id,
repo_type="dataset",
local_dir=raw_dir,
token=token,
endpoint=endpoint,
allow_patterns=[
"README.md",
"metadata.json",
"train.parquet",
"validation.parquet",
"train.jsonl.gz",
"validation.jsonl.gz",
],
)
local = Path(local_path)
for name in ("train", "validation"):
gz = local / f"{name}.jsonl.gz"
if gz.exists():
gunzip_if_needed(gz, out_dir / f"{name}.jsonl")
parquet = local / f"{name}.parquet"
if parquet.exists():
target = out_dir / f"{name}.parquet"
if not target.exists():
target.symlink_to(parquet.resolve())
print(f"DATASET_ID={dataset_id}")
print(f"TRAIN_JSONL={out_dir / 'train.jsonl'}")
print(f"VALIDATION_JSONL={out_dir / 'validation.jsonl'}")
return 0
if __name__ == "__main__":
raise SystemExit(main())