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Pre-corpus fixes (from EVALUATION.md): - Clean 2,264 contaminated rows from augmented relations (bridge artifacts, full-sentence HasProperty values, null bytes, empty words) - Fix article logic: dynamic a/an across Deconstruction, FalseEquivalence, DenialOfConsequences, TautologicalWisdom templates - Tighten _short_concepts() default from max_words=3 to 2 - Fix FutilePreparation gerunding: filter vocab nouns and noun-suffix words from UsedFor targets; fix CVC doubling for 'y'-ending words - Add _looks_like_verb() heuristic, improve _a() for vowel-sound edges Pipeline hardening: - polish_corpus.py: context-size fallback (truncate chain, then minimal prompt), classified error types, consecutive-error circuit breaker, 10-entry flush granularity, ETA tracking, KeyboardInterrupt handling - generate_raw_batch.sh: fix python -> python3 Corpus generation run (9,835 raw -> 5,499 polished -> 2,312 filtered): - 44.1% discard rate, 0 errors, 82 minutes on RTX 4090 - 9,257 training pairs across 5 input framing types - 97.6% vocab coverage (609/624 words) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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| corpus | ||
| data | ||
| examples | ||
| schemas | ||
| scripts | ||
| .gitignore | ||
| CORPUS_GENERATION_SPEC.md | ||
| EVALUATION.md | ||
| folksy_generator.py | ||
| FOLKSY_GENERATOR_SPEC.md | ||
| GRAPH_ENHANCEMENT_SPEC.md | ||