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feat(corpus): normalize labels, expand 4 TCs, regenerate vocab
Data quality: - Normalize 7 case-dupe pairs (hol4→HOL4, coq→Coq, lean→Lean3, etc.) across 1,955 entries in 8 files - Remove 9 entries with undefined prover label - Zero provers now under 100 entries (was 4) Type-checker expansion: QTTTypeChecker: 167 → 199 DependentTypeChecker: 124 → 196 SessionTypeChecker: 114 → 210 ChoreographicTypeChecker: 111 → 207 Vocabulary regeneration: tactic_vocab: 6,130 → 120,990 (19.7×) premise_vocab: 992,610 → 1,311,903 (+32%) Final state: 1,480,184 entries, 71 canonical prover labels, 0 under 100. https://claude.ai/code/session_0173ntsBsELMiXaTWvtjXdN8
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‎models/premise_vocab.txt‎

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‎models/tactic_vocab.txt‎

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‎training_data/floor_progress.jsonl‎

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‎training_data/metrics_baseline.jsonl‎

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‎training_data/proof_states.jsonl‎

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‎training_data/proof_states_2026-03-20.jsonl‎

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‎training_data/proof_states_typechecker_ecosystem.jsonl‎

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‎training_data/proof_states_v2.jsonl‎

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‎training_data/tactics.jsonl‎

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‎training_data/tactics_2026-03-20.jsonl‎

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