feat(model): update Japanese model (ja.json) - #1308
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… datasets for #413, #468, #841, #994 - Consolidate fine-tuning datasets for GitHub Issues #413, #468, #841, #994 into data/finetuning/ja/*.txt - Recompile production Japanese model weights (budoux/models/ja.json) using 200,000 AdaBoost iterations via run_training_pipeline.py - Update tests/quality/ja.tsv regression suite with test cases for issues #413, #468, #841, #994 (100% Pass) Benchmark Performance: - Quality Regression Suite: 100% Pass Rate (35/35 cases, F-score: 1.0000 vs prev 0.9589) - Holdout Accuracy (KNBC 10% Test): 97.24% vs prev 97.18% - Holdout F-score (KNBC 10% Test): 0.9319 vs prev 0.9310 TAG=agy CONV=af16f8d5-a8c2-4260-82a9-9617e2ba2480
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This fixes #413, #468, #841, #994
Benchmark Performance:
TAG=agy
CONV=af16f8d5-a8c2-4260-82a9-9617e2ba2480