Datasets:
File size: 1,866 Bytes
a8de6dc | 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 55 56 57 58 59 60 61 62 63 64 65 66 67 | import os, glob, time
from huggingface_hub import HfApi
TOKEN = 'HF_TOKEN_REDACTED'
REPO = 'OpenTransformer/web-crawl-2026'
OUT = '/workspace/crawl_mega_20260323.jsonl.gz'
# Gather all .gz files that haven't been uploaded yet
files_to_combine = []
# Combined crawl files
for f in sorted(glob.glob('/workspace/combined_crawl_*.jsonl.gz')):
files_to_combine.append(f)
# Go chunks
for f in sorted(glob.glob('/workspace/scraped_data_go/*.jsonl.gz')):
files_to_combine.append(f)
# Rust staging
for f in sorted(glob.glob('/workspace/staging/*.jsonl.gz')):
files_to_combine.append(f)
print(f'Found {len(files_to_combine)} files to combine')
for f in files_to_combine:
sz = os.path.getsize(f) / (1024*1024)
print(f' {f}: {sz:.0f}MB')
# Concatenate gz files (gz files can be concatenated directly)
total = 0
with open(OUT, 'wb') as out:
for f in files_to_combine:
sz = os.path.getsize(f)
total += sz
print(f'Appending {f} ({sz/(1024*1024):.0f}MB)...')
with open(f, 'rb') as inp:
while True:
chunk = inp.read(8*1024*1024)
if not chunk:
break
out.write(chunk)
total_gb = total / (1024*1024*1024)
final_sz = os.path.getsize(OUT) / (1024*1024*1024)
print(f'Combined {len(files_to_combine)} files, total: {total_gb:.2f}GB, output: {final_sz:.2f}GB')
if final_sz < 0.1:
print('Output too small, skipping upload')
exit(1)
# Upload
print(f'Uploading {OUT} to {REPO}...')
api = HfApi(token=TOKEN)
api.upload_file(
path_or_fileobj=OUT,
path_in_repo=f'crawl/mega/crawl_mega_20260323.jsonl.gz',
repo_id=REPO,
repo_type='dataset',
)
print('Upload complete!')
# Clean up combined files after successful upload
os.remove(OUT)
for f in files_to_combine:
os.remove(f)
print(f'Removed {f}')
print('Cleanup done')
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