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Forest of Audits SFT Process Dataset
This dataset is the first SFT export built from the backfilled ForestOfAudits trace bundle. It is formatted as OpenAI-style chat-message JSONL and focuses on teaching the audit environment, terminal action space, and required submission artifacts.
Files
train_sft_process_all_actions.jsonl: 8,633 process-step examples from parseable detect, patch, and exploit traces.train_sft_gold_clean_final.jsonl: 218 gold or high-confidence final-answer examples kept separate for deliberate mixing.rejected_or_unparsed_records.jsonl: 74 rejected or unparsed records, including unknown-mode traces and parse failures.dataset_summary.json: source statistics and output counts.audit_splits.json: audit-level train/val/test split metadata.
Source Statistics
- Traces: 217
- Audits: 41
- Modes: 135 detect, 56 patch, 24 exploit, 2 unknown
- Missing final artifacts: 72
- Premature finalizations: 88
- Error-state traces: 79
- Exploit passes: 2 of 24
Rows use only system, user, and assistant roles. Tool calls and tool
outputs are serialized as tagged text blocks, with outcome and quality metadata
preserved for later weighting or ablation.
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