Seth e28836106f Risk_level in all 644 examples + model outputs risk classification ...

- All 644 examples tagged: 0=blocked(15), 1=refuse(33), 2=warn(24), 3=normal(498), 4=generous(74)
- Training output now includes risk_level field for decision transparency
- Model learns to classify risk before generating commands
- Validator can sanity-check: risk 0-1 should have empty commands

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

2026-03-18 22:35:50 -04:00

..

processed

Risk_level in all 644 examples + model outputs risk classification

2026-03-18 22:35:50 -04:00

raw

Minecraft knowledge corpus, recipe trees, GitHub scraper, 644 examples

2026-03-18 20:33:09 -04:00

ingest_audit.py

Add audit log ingestion pipeline with language/leak filtering

2026-03-18 17:58:52 -04:00

schema.json

Risk gradient (0-5), updated system prompts, 233 examples

2026-03-18 16:14:54 -04:00

scrape_server_logs.py

Minecraft knowledge corpus, recipe trees, GitHub scraper, 644 examples

2026-03-18 20:33:09 -04:00

validate_dataset.py

Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap

2026-03-18 01:51:28 -04:00