content-moderation/data
2026-03-20 01:38:24 -07:00
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archive feat(content-moderation): Add refined training examples and category specs for harassment, predatory behavior, and moderation prompts 2026-03-18 22:11:28 -07:00
generated chore(data): 🔧 Update dataset splits and negative samples for improved model robustness 2026-03-18 22:55:39 -07:00
splits perf(content-moderation): Optimize content-moderation training pipeline by updating data splits, merging evaluation logic, and refining parameters for faster training efficiency 2026-03-20 01:38:24 -07:00
error_analysis.json chore(error-analysis): 🔧 Update error analysis configuration with refined error codes and metadata for better tracking 2026-03-13 03:10:54 -07:00
error_analysis_filtered.json feat(content-moderation): Improve content moderation model performance by adding targeted hard/positive data generation, updating phase-based training splits, and enhancing error analysis in the training pipeline 2026-03-17 17:30:40 -07:00