Buckets:
| import os, json | |
| from pathlib import Path | |
| out = {} | |
| for p in ["/domains", "/training", "/ds"]: | |
| pp = Path(p) | |
| out[p] = {"exists": pp.exists()} | |
| if pp.exists(): | |
| try: | |
| items = sorted(os.listdir(p)) | |
| out[p]["items"] = items[:10] | |
| except Exception as e: | |
| out[p]["err"] = str(e)[:80] | |
| # 验证 /ds 里的数据 | |
| ds = Path("/ds") | |
| if ds.exists(): | |
| for sub in ["test", "train"]: | |
| d = ds / sub | |
| if d.exists(): | |
| fs = sorted(d.glob("*.npz")) | |
| tot = sum(f.stat().st_size for f in fs) / 1024**3 | |
| out[f"/ds/{sub}"] = {"n_npz": len(fs), "gb": round(tot, 2), | |
| "sample": [f.name for f in fs[:3]]} | |
| out["readme"] = (ds / "README.md").exists() | |
| print(json.dumps(out, indent=2, ensure_ascii=False)) | |
Xet Storage Details
- Size:
- 818 Bytes
- Xet hash:
- 8eef2dc15f5fb8e5ea6607972df0e6f9ff26c70f70a5409aafefb2261f23b343
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.