Datasets:
File size: 1,700 Bytes
f06f7f7 | 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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | import subprocess, os, time, glob
REPO = "OpenTransformer/web-crawl-2026"
files = []
# Get all chunks - upload finished ones first, then active ones (copy-then-upload)
for pattern in ["/workspace/scraped_data_rust/*.jsonl.gz", "/workspace/scraped_data_go/*.jsonl.gz", "/workspace/scraped_data/*.jsonl.gz"]:
files.extend(glob.glob(pattern))
print(f"Found {len(files)} files to upload")
for f in sorted(files, key=os.path.getsize, reverse=True):
size_mb = os.path.getsize(f) / 1024 / 1024
basename = os.path.basename(f)
# For active files, copy first so we upload a consistent snapshot
mtime_age = time.time() - os.path.getmtime(f)
if mtime_age < 300: # modified in last 5 min = still active
print(f"ACTIVE: {basename} ({size_mb:.0f}MB, {mtime_age:.0f}s ago) - copying snapshot...")
snap = f"/tmp/snap_{basename}"
os.system(f"cp {f} {snap}")
upload_path = snap
else:
print(f"DONE: {basename} ({size_mb:.0f}MB)")
upload_path = f
# Determine HF subfolder
if "rust" in f:
hf_path = f"data/{basename}"
elif "go" in f:
hf_path = f"data/{basename}"
else:
hf_path = f"data/{basename}"
print(f" Uploading {hf_path}...")
from huggingface_hub import HfApi
api = HfApi()
try:
api.upload_file(
path_or_fileobj=upload_path,
path_in_repo=hf_path,
repo_id=REPO,
repo_type="dataset",
)
print(f" OK: {hf_path}")
except Exception as e:
print(f" FAIL: {e}")
# Clean up snapshot
if upload_path.startswith("/tmp/snap_"):
os.remove(upload_path)
print("ALL DONE")
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