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Garry Tan
18baca6629
Adds the v1→v2 contract boundary for BrainBench. 6 JSON schemas at
eval/schemas/ pin the shape of every artifact a stack must emit to be
scorable: corpus-manifest, public-probe (PublicQuery with gold stripped),
tool-schema (12 read + 3 dry_run tools, 32K tool-output cap), transcript,
scorecard (N ∈ {1, 5, 10}), evidence-contract (structured judge input).
8 gold file templates at eval/data/gold/ scaffold the sealed qrels,
contradictions, poison items, and citation labels. Empty-but-valid
skeletons; Day 3b fills them with real content once the amara-life-v1
corpus generates.
48 tests validate schema syntax, $schema/$id/title/type headers,
round-trip stability, and cross-schema coherence (new Page types in
manifest enum, tool counts, token cap, N enum).
When v2 ports to Python + Inspect AI + Docker, these schemas are the
boundary. Same fixtures, same tool contracts, zero rework.
14 lines
369 B
JSON
14 lines
369 B
JSON
{
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"version": 1,
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"_comment": "Query relevance judgments. EvalQrel format matching src/core/search/eval.ts. Consumed by retrieval scorers (P@k, R@k, MRR, nDCG@k).",
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"queries": [
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{
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"_example": "true",
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"id": "q-0001",
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"query": "who is Jordan Park",
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"relevant": ["people/jordan-park"],
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"grades": {"people/jordan-park": 3}
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}
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]
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}
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