docs: explain how to aggregate inference results - #17
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Liang-Chun Tsai (ltsai-dev) wants to merge 2 commits into
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docs: explain how to aggregate inference results#17Liang-Chun Tsai (ltsai-dev) wants to merge 2 commits into
Liang-Chun Tsai (ltsai-dev) wants to merge 2 commits into
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Documents the tb infer JSONL artifact schema, tb agg/tb pp/tb run-test/tb sbs commands, and the pass@1/pass@20/pass^20 metrics aligned with the ThinkingBox paper terminology, including the pass^k naming caveat (biased plug-in vs true unbiased estimator). Covers domain/split filtering via jq/python on the JSONL output, resuming interrupted runs via --previous-results-file, and explicitly distinguishes built-in CLI evidence-gathering from the paper's manual/external four-category failure classification. Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com> Copilot-Session: f71fc0b5-25dc-43ae-8eea-04d0e45f8de9
Liang-Chun Tsai (ltsai-dev)
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Summary
tb inferJSONL resultstb aggcommand used to obtain pass@1, pass@20, and pass^20The guide intentionally refers readers to the main README for generating the JSONL and omits unrelated schema, filtering, debugging, and failure-analysis details.