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Running on Zero
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4791c0a | 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 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 | #!/usr/bin/env python3
"""Download the real README.md and main app-file source for every project in the
snapshot, so the quest dataset can split each sample into a README segment and an
app-file segment of genuine content.
Output: data/quest_corpus.json — one record per project with the raw README, the
README body with YAML frontmatter stripped, the raw app-file source, the AST app
signals carried in the snapshot, and the character lengths used later for cleaning.
"""
from __future__ import annotations
import argparse
from datetime import datetime, timezone
import json
from pathlib import Path
import sys
ROOT = Path(__file__).resolve().parents[1]
sys.path.insert(0, str(ROOT))
from huggingface_hub import hf_hub_download
from huggingface_hub.errors import EntryNotFoundError, HfHubHTTPError
from scripts.crawl_hf_spaces import readme_frontmatter
APP_SOURCE_CHAR_CAP = 24000
README_CHAR_CAP = 24000
def download_space_text(repo_id: str, filename: str) -> str:
try:
path = hf_hub_download(
repo_id=repo_id,
repo_type="space",
filename=filename,
token=False,
etag_timeout=30,
)
except (EntryNotFoundError, HfHubHTTPError, OSError):
return ""
try:
return Path(path).read_text(encoding="utf-8", errors="replace")
except OSError:
return ""
def strip_frontmatter(readme: str) -> str:
lines = readme.splitlines()
if not lines or lines[0].strip() != "---":
return readme.strip()
for index in range(1, len(lines)):
if lines[index].strip() in {"---", "..."}:
return "\n".join(lines[index + 1 :]).strip()
return readme.strip()
def main() -> None:
parser = argparse.ArgumentParser(description="Crawl README + app-file source for the quest dataset.")
parser.add_argument("--projects", default="data/projects.json", type=Path)
parser.add_argument("--out", default="data/quest_corpus.json", type=Path)
args = parser.parse_args()
snapshot = json.loads(args.projects.read_text(encoding="utf-8"))
projects = snapshot["projects"]
records = []
for position, project in enumerate(projects, start=1):
repo_id = project["id"]
app_file = (project.get("app_file") or "").strip()
readme_raw = download_space_text(repo_id, "README.md")
readme_body = strip_frontmatter(readme_raw)[:README_CHAR_CAP]
frontmatter = readme_frontmatter(readme_raw)
app_source = download_space_text(repo_id, app_file)[:APP_SOURCE_CHAR_CAP] if app_file else ""
record = {
"id": repo_id,
"title": project.get("title") or "",
"summary": project.get("summary") or "",
"tags": project.get("tags") or [],
"models": project.get("models") or [],
"datasets": project.get("datasets") or [],
"sdk": project.get("sdk") or "",
"license": project.get("license") or "",
"likes": int(project.get("likes") or 0),
"url": project.get("url") or "",
"app_file": app_file,
"readme_raw": readme_raw,
"readme_body": readme_body,
"readme_frontmatter": frontmatter,
"app_source": app_source,
"app_signals": project.get("app_file_embedding_text") or "",
"readme_len": len(readme_body),
"app_source_len": len(app_source),
"app_signals_len": len(project.get("app_file_embedding_text") or ""),
}
records.append(record)
print(
f"[{position:3d}/{len(projects)}] {repo_id:55s} "
f"readme={record['readme_len']:5d} app={record['app_source_len']:5d}",
flush=True,
)
payload = {
"generated_at": datetime.now(timezone.utc).isoformat(timespec="seconds"),
"source_snapshot": str(args.projects),
"snapshot_generated_at": snapshot.get("generated_at") or "",
"project_count": len(records),
"projects": records,
}
args.out.parent.mkdir(parents=True, exist_ok=True)
args.out.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
print(f"wrote {len(records)} corpus records to {args.out}")
if __name__ == "__main__":
main()
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