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collectors/tensortrust.py

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  1. """Tensor Trust collector (HumanCompatibleAI/tensor-trust-data).
  2. Targeted files: raw attack/defense dumps (jsonl.bz2) + derived benchmarks.
  3. License: permissively licensed (per repo README).
  4. """
  5. from __future__ import annotations
  6. import json
  7. import sys
  8. from collectors import common
  9. def collect() -> tuple[list[str], dict, bool]:
  10. cfg = common.CONFIG["tensortrust"]
  11. paths = []
  12. metas = []
  13. cached_all = True
  14. for rel in cfg["files"]:
  15. fname = rel.replace("/", "__")
  16. # big raw dumps stream; small benchmark jsonls can too (uniform path)
  17. path, meta, cached = common.get_stream(
  18. cfg["base_url"] + rel, "tensortrust", fname, timeout=300
  19. )
  20. paths.append(str(path))
  21. metas.append(meta)
  22. cached_all = cached_all and cached
  23. info = {
  24. "source": "tensortrust",
  25. "files": [{k: m[k] for k in ("file", "bytes", "sha256")} for m in metas],
  26. "cached": cached_all,
  27. "retrieved_at": metas[-1]["retrieved_at"],
  28. }
  29. print(json.dumps(info), file=sys.stderr)
  30. return paths, {"files": metas}, cached_all
  31. if __name__ == "__main__":
  32. collect()