dataset-curation

Dataset Curation This skill assumes finetuning-method-selection already routed here — the next step is preparing data, not choosing a method. What follows: format selection by target method, the template/packing mechanics behind the most common silent training failures, rules for mixing in synthetic data without collapse, and the dataset card that closes out Phase 2 before a run starts. Input: raw examples (demonstrations, preference judgments, or task prompts) plus a routing decision from finetuning-method-selection . Output format: a formatted, packed, validated JSONL dataset plus a completed dataset card — the Phase 2 artifact /finetune checks before launching training. Show more Installs 931 Repository wshobson/agents GitHub Stars 39.1K First Seen Jul 14, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass