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  "context_rule_coverage": "all 4520 source rows",
  "families_by_role": {
    "calibration": 378,
    "development": 567,
    "final": 945,
    "train": 1888
  },
  "format": "bbeh-source-split-audit-v1",
  "grouping_edges_by_rule": {
    "causal_understanding:shared-story-sentence": 391,
    "causal_understanding:story-opening-12-content-tokens": 130,
    "causal_understanding:story-opening-sentence": 128,
    "disambiguation_qa:source-sentence": 1,
    "linguini:language-problem-introduction": 153,
    "linguini:shared-language-table": 164,
    "normalized-full-input": 8,
    "spatial_reasoning:spatial-world-and-path": 1
  },
  "limitations": [
    "Upstream provides no complete original-problem/template IDs; text-derived families do not prove absence of paraphrased or structurally isomorphic contexts.",
    "Within-task family splits measure performance on new problems from these tasks, not generalization to unseen tasks.",
    "Base-model pretraining overlap is unknown; this grouping constrains router training leakage only.",
    "Unequal family sizes make row proportions approximate. Final paired comparisons should bootstrap whole families and remain descriptive."
  ],
  "model_outcomes_accessed": false,
  "overgrouping_controls": [
    "A reused primitive, common task instruction, or generic template is not itself a family link.",
    "Time arithmetic groups the complete composed program, including numerical transformations; single subquestions do not link rows.",
    "SARC requires a shared post-and-reply pair, not a shared post alone; SportQA uses its main scenario, not a generic subquestion.",
    "Linguini shares original language-problem introductions/tables; causal variants share specific story text."
  ],
  "reservation_reason_counts": {
    "duplicate_source_input": 8,
    "prior_official_mini_problem_family": 601,
    "reference_conflict_problem_family": 8
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  "rows_by_role": {
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    "development": 589,
    "excluded": 10,
    "final": 975,
    "reserved": 592,
    "train": 1969
  },
  "source_only": true,
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      "largest_source_family": 1,
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      "source_rows": 200
    },
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    },
    "movie_recommendation": {
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}