s1mb-dataset / score-policy-catalog.json
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Publish verified typed-decision dataset with source attribution (part 3)
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{
"version": "bekko.search_score_policy.v2.20260928",
"seed": 20260928,
"grid_step": 0.05,
"minimum_gap": 0.05,
"assignment": "Uniform over the 20 policies, fixed per group/query and shared across its documents, independent of target and split; family assignment is uniform over policies at 7 broad, 7 standard, and 6 strict.",
"target_semantics": "Policy-conditioned utility, not a probability. Original teacher evidence grades are retained with family-specific source-positive floor handling and full provenance. The numeric utility mapping is subjective and synthetic, not an individually measured human scale.",
"mapping_note": "Utility anchors have fixed endpoints 0 and 1; intermediate anchors use the 0.05 grid with ±1-grid-step jitter subject to monotonicity and minimum gap. Anchor values express a subjective policy preference, not a claim about an exact largest step or measured rating interval.",
"families": {
"broad": {
"positive_floor": 3,
"description": "Broad discovery keeps more potentially useful leads and exact-subject context. Before mapping, source-positive grades are floored at 3; grade 3 means useful retrieval material and may include incomplete support, while grade 4 is a sufficient answer.",
"criteria_levels": [
"Unrelated to the search intent, or about a different referent with no supported connection to the intended subject.",
"Loose topical or lexical overlap, without a useful lead toward the search intent.",
"Potentially useful context about the intended subject, with only an indirect connection to the precise search need.",
"A strong, query-related lead worth retaining for further investigation, even when the requested answer details are absent.",
"A direct and sufficient answer for the intended subject."
]
},
"standard": {
"positive_floor": 3,
"description": "Standard retrieval relevance: source positives have a minimum grade of 3; grade 3 means a relevant document matching the search intent, without requiring explicit answer facts.",
"criteria_levels": [
"Unrelated to the search intent, or about a different referent with no supported connection to the intended subject.",
"Only topical or lexical overlap, without a clear match to the search intent.",
"Useful background about the intended subject, but not clearly addressing the specific search intent.",
"A relevant document matching the search intent and intended subject; direct answer facts are not required.",
"A direct and sufficient answer for the intended subject."
]
},
"strict": {
"positive_floor": null,
"description": "Strict selection discounts context and requires clear support for answer utility. Source grades are used without a positive floor; grade 3 requires explicit partial-answer evidence or a necessary, supported linking fact, and grade 4 is a sufficient answer.",
"criteria_levels": [
"No useful evidence, or evidence about a different referent.",
"Topic overlap without a usable fact for answering the request.",
"Exact-subject context with limited support, but no clear answer-bearing or necessary linking fact.",
"Explicit partial answer evidence or a necessary, well-supported identification or relationship; a complete answer is not required.",
"A direct and sufficient answer for the intended subject."
]
}
},
"policies": [
{
"id": "broad_recall_anchor",
"family": "broad",
"instruction": "For an early search pass, keep material that could help a researcher follow a lead. Give exact-target facts more utility than loose context, and give a complete answer the most.",
"anchors": [
0.0,
0.25,
0.55,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "broad_topic_credit",
"family": "broad",
"instruction": "When exploring a topic, preserve concrete adjacent material that may point toward an answer. Reward exact-target evidence more, and reserve the top score for a sufficient answer.",
"anchors": [
0.0,
0.3,
0.55,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "broad_context_credit",
"family": "broad",
"instruction": "For background gathering, retain useful context about the named subject even when it does not state the requested detail. Directly useful facts should score higher.",
"anchors": [
0.0,
0.25,
0.5,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "broad_partial_evidence",
"family": "broad",
"instruction": "Keep leads that could contribute to a later synthesis, including concrete facts that address only part of the request. A complete answer remains the strongest result.",
"anchors": [
0.0,
0.3,
0.55,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "broad_low_grade_value",
"family": "broad",
"instruction": "In a first-pass screen, assign some value to plausible contextual material because a reviewer may filter it later. Do not treat that value as proof that the document answers the query.",
"anchors": [
0.0,
0.35,
0.6,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "recall_balanced_steps",
"family": "broad",
"instruction": "Use a gradual discovery scale: retain relevant context, favor facts about the requested subject, and favor partial answers over context alone.",
"anchors": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "context_first",
"family": "broad",
"instruction": "For research collection, useful background about the exact subject can be worth keeping before an answer is available. Give answer-bearing evidence stronger utility.",
"anchors": [
0.0,
0.2,
0.55,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "answer_evidence_first",
"family": "standard",
"instruction": "Prefer documents with facts that answer the request. Exact-topic context can help, but it should receive clearly less utility than answer evidence.",
"anchors": [
0.0,
0.2,
0.5,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "directness_first",
"family": "standard",
"instruction": "For a results page, favor evidence that directly addresses the request. Useful partial evidence matters, while a sufficient answer should rank highest.",
"anchors": [
0.0,
0.2,
0.45,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "context_vs_directness",
"family": "standard",
"instruction": "Balance explanatory context with answer sufficiency: useful context has real value, specific partial evidence has more, and a complete answer has the most.",
"anchors": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "topic_vs_context",
"family": "standard",
"instruction": "Distinguish exact-subject background from mere topic similarity. Give concrete requested facts more utility than background, with sufficient answers at the top.",
"anchors": [
0.0,
0.2,
0.55,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "partial_answer_priority",
"family": "standard",
"instruction": "For a request that may need synthesis, value a concrete fact answering an important part of it. Such evidence is useful, though a sufficient answer remains stronger.",
"anchors": [
0.0,
0.2,
0.5,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "answer_threshold_emphasis",
"family": "standard",
"instruction": "Use answer-bearing facts as the main reason to select a result. Relevant background may remain useful at a lower level, but should not be mistaken for an answer.",
"anchors": [
0.0,
0.2,
0.45,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "near_linear_strict",
"family": "standard",
"instruction": "Increase utility steadily as evidence becomes more specific to the requested information, from exact-subject context through partial facts to a sufficient answer.",
"anchors": [
0.0,
0.25,
0.5,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "high_grade_concentration",
"family": "strict",
"instruction": "Concentrate selection on evidence that answers the request. Keep general context low, while giving a concrete partial answer meaningful utility.",
"anchors": [
0.0,
0.05,
0.2,
0.7,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "strict_precision_anchor",
"family": "strict",
"instruction": "Use a precision-focused shortlist: give little credit to topic overlap or background, but retain clearly supported facts that answer part of the request.",
"anchors": [
0.0,
0.1,
0.2,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "strict_context_discount",
"family": "strict",
"instruction": "Apply a strong discount to context that cannot help establish an answer. Explicit partial answers and necessary supported links still deserve substantial utility.",
"anchors": [
0.0,
0.05,
0.25,
0.7,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "strict_direct_answer",
"family": "strict",
"instruction": "For final answer selection, reserve the highest utility for a direct sufficient answer. A specific partial fact is still useful evidence and should not be treated as irrelevant.",
"anchors": [
0.0,
0.05,
0.15,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "strict_high_grade_only",
"family": "strict",
"instruction": "Keep weak context near the bottom and focus selection on explicit requested facts. A well-supported intermediate fact can help answer the query even without completing it.",
"anchors": [
0.0,
0.05,
0.2,
0.75,
1.0
],
"jitter_steps": [
-1,
0,
1
]
},
{
"id": "precision_heavy",
"family": "strict",
"instruction": "Prefer a concise set of documents with concrete answer evidence over loosely connected material. Preserve meaningful credit for explicit partial answers.",
"anchors": [
0.0,
0.1,
0.25,
0.8,
1.0
],
"jitter_steps": [
-1,
0,
1
]
}
],
"rationale": "Family-specific rubrics distinguish broad discovery, conventional retrieval relevance, and strict answer evidence. Targets are derived from existing grades and source relevance labels, not independently relabeled under each rubric. Source-label noise and FAQ/claim-specific limitations remain; existing quarantine decisions are preserved."
}