File size: 3,451 Bytes
43b4299 | 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 | """Verify anonymous repository access, configurations, and all artifact hashes."""
import hashlib
import json
import os
from pathlib import Path
import subprocess
import sys
os.environ["HF_HUB_DISABLE_IMPLICIT_TOKEN"] = "1"
os.environ["HF_HOME"] = "/tmp/trajectory_remote_verify_hf"
os.environ.pop("HF_TOKEN", None)
import pandas as pd
from huggingface_hub import HfApi
from datasets import get_dataset_config_names, load_dataset
def main():
root = Path(__file__).resolve().parents[1]
repo = "pranay5255/agent-trajectory-study-20260930"
api = HfApi(token=False)
info = api.dataset_info(repo)
assert info.private is False and not info.gated
revision = info.sha
files = {f.path:f for f in api.list_repo_tree(repo, repo_type="dataset", revision=revision, recursive=True) if hasattr(f,"size")}
manifest = json.loads((root / "provenance/publication_manifest.json").read_text())
checked = 0
for artifact in manifest["files"]:
remote = files[artifact["path"]]
assert remote.size == artifact["bytes"], artifact["path"]
if remote.lfs:
assert remote.lfs.sha256 == artifact["sha256"], artifact["path"]
else:
data = (root / artifact["path"]).read_bytes()
git_hash = hashlib.sha1(f"blob {len(data)}\0".encode()+data).hexdigest()
assert remote.blob_id == git_hash, artifact["path"]
checked += 1
configs = get_dataset_config_names(repo, revision=revision, token=False)
expected = {"olmo","qwen","forest","olmo_events","qwen_events","forest_events","annotations","examples","example_summary","sources","coverage","forest_joins","token_diagnostics","redactions","q09_transitions","qwen27b_summary_only","usage_events"}
assert set(configs) == expected, configs
splits = {}
for config in sorted(configs):
dataset = load_dataset(repo, config, revision=revision, token=False, streaming=True)
splits[config] = list(dataset)
for name, split in dataset.items():
first = next(iter(split))
assert isinstance(first,dict) and first
print(f"Anonymous configuration verified: {config}", flush=True)
target = Path("/tmp/trajectory_anonymous_downloads")
downloads = ["trajectory_eda_colab.ipynb","data/olmo.parquet","data/qwen.parquet","data/forest.parquet"]
sample = pd.read_parquet(root / "data/qwen.parquet").sort_values("events").iloc[-1]
downloads.append(sample.detail_path)
subprocess.run([sys.executable,"-m","huggingface_hub.cli.hf","download",repo,*downloads,
"--repo-type","dataset","--revision",revision,"--local-dir",str(target),"--quiet"], check=True)
lookup = {a["path"]:a for a in manifest["files"]}
for name in downloads:
assert hashlib.sha256((target/name).read_bytes()).hexdigest() == lookup[name]["sha256"]
counts = {c:len(pd.read_parquet(target/f"data/{c}.parquet")) for c in ["olmo","qwen","forest"]}
assert counts == {"olmo":570,"qwen":510,"forest":371}
report = {"status":"passed","repository":repo,"verified_revision":revision,"public":True,"anonymous":True,
"artifact_hashes_verified":checked,"configurations":splits,"episode_counts":counts,
"anonymous_cli_downloads":downloads}
(root / "provenance/remote_verification.json").write_text(json.dumps(report,indent=2)+"\n")
print(json.dumps(report,indent=2))
if __name__ == "__main__":
main()
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