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Verification kit — sample-level checks

This small kit lets a buyer's researcher sanity-check the grader and answer hygiene without trusting RE-Lab. It runs on the public sample JSONL files; it does not require the paid full pack. The grader scripts import binary_reasoning_v1.grading from environment/src/binary_reasoning_v1/grading.py (leak_check.py does not), so include that file (or the Prime environment package) when downloading just the free sample.

Run it

From the dataset root:

python verification_kit/gold.py sample_free.jsonl
python verification_kit/do_nothing.py sample_free.jsonl
python verification_kit/random_wrong.py sample_free.jsonl
python verification_kit/leak_check.py sample_free.jsonl
python verification_kit/grader_tamper.py sample_free.jsonl

If the 100-item open sample is present locally, point the same scripts at it:

python verification_kit/gold.py environment/src/binary_reasoning_v1/items.jsonl
python verification_kit/do_nothing.py environment/src/binary_reasoning_v1/items.jsonl
python verification_kit/random_wrong.py environment/src/binary_reasoning_v1/items.jsonl
python verification_kit/leak_check.py environment/src/binary_reasoning_v1/items.jsonl
python verification_kit/grader_tamper.py environment/src/binary_reasoning_v1/items.jsonl

What each script checks

Script What it does Expected result
gold.py Builds a reply from the stored answer and grades it. Deterministic items score 1.0; rubric-judged items are skipped, not silently graded.
do_nothing.py Grades an empty reply. Deterministic items score 0.
random_wrong.py Builds a deterministic mutated wrong reply and grades it. Deterministic items score 0. It is not stochastic random guessing.
leak_check.py Extracts exact hidden answer tokens where possible and searches the model-facing input field. Reports checked-row coverage; no exact-token leaks on the public samples.
grader_tamper.py Mutates the stored answer key and grades the original gold reply against it. The original gold reply no longer scores, showing that grading depends on the answer key.

Measured results on this workspace (2026-10-30)

On sample_free.jsonl:

  • gold.py, do_nothing.py, random_wrong.py, and grader_tamper.py: 4/4 deterministic items pass; 5 rubric-judged items are skipped.
  • leak_check.py: items=9 unique_ids=9 checked_rows=3 leaks=0.

On the 100-item open sample at environment/src/binary_reasoning_v1/items.jsonl:

  • gold.py, do_nothing.py, random_wrong.py, and grader_tamper.py: 84/84 deterministic items pass; 16 rubric-judged items are skipped.
  • leak_check.py: items=100 unique_ids=100 checked_rows=73 leaks=0.

Known limitations

  • The current deterministic graders can accept some "shotgun" replies that contain the correct token among many distractors. This kit does not yet include a dedicated shotgun.py probe.
  • leak_check.py scans the raw JSONL input field, not every rendered prompt variant. Rows with no extractable exact answer token are reported as unchecked.
  • The full-pack answer-leak figure (0/10,251) comes from the existing full-pack audit, not from this public sample script.
  • The solvers/ directory contains RE-Lab-run reproduction scripts for internal hard-trial families. Several depend on local paths, WSL/Windows tools, pinned package digests, or host-specific loader behavior, so they are evidence rather than a portable buyer-runnable kit yet.