Datasets:
File size: 998 Bytes
9df3263 | 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 | #!/usr/bin/env bash
# Download DA360 test benchmarks from Hugging Face and lay out ./data/ for official eval.
set -euo pipefail
REPO_ID="${DA360_HF_DATASET:-hljiang/DA360}"
OUT="${1:-./data}"
if ! command -v python3 >/dev/null 2>&1; then
echo "python3 is required" >&2
exit 1
fi
python3 - "$OUT" "$REPO_ID" <<'PY'
import sys
import zipfile
from pathlib import Path
from huggingface_hub import hf_hub_download
out = Path(sys.argv[1]).resolve()
repo = sys.argv[2]
out.mkdir(parents=True, exist_ok=True)
for name in ("Metropolis", "Stanford2D3D", "Matterport3D"):
print(f"Downloading archives/{name}.zip …")
zpath = Path(
hf_hub_download(
repo_id=repo,
repo_type="dataset",
filename=f"archives/{name}.zip",
)
)
print(f"Extracting to {out} …")
with zipfile.ZipFile(zpath) as zf:
zf.extractall(out)
print(f"Ready: {out}")
print("Expected: Metropolis/, Matterport3D/, Stanford2D3D/ under that directory.")
PY
|