Two-module pipeline for AI companion safety: - Module B: context-aware risk detector with CrossAttention fusion - Module C: PPO-based adaptive intervention policy Includes CompanionRisk Taxonomy (10 primary + 14 fine-grained labels), dataset generation/annotation pipeline, training scripts, and eval suite. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
36 lines
358 B
Plaintext
36 lines
358 B
Plaintext
__pycache__/
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*.py[cod]
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*.egg-info/
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dist/
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build/
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.eggs/
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# Virtual environments
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.venv/
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venv/
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env/
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# Data (raw and processed — do not commit large datasets)
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data/raw/
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data/processed/
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# Model checkpoints
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checkpoints/
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# Experiment outputs
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experiments/eval_results.json
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wandb/
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# Editor
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.idea/
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.vscode/
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*.swp
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# OS
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.DS_Store
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Thumbs.db
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# API keys
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.env
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*.env
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