dataset-curation
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data into training format, applying chat templates, configuring sequence packing, generating synthetic training data, or writing a dataset card before a run.
| Field | Value |
|---|---|
| Owner | wshobson |
| Curator | Thomas Cherickal |
| Source | wshobson/agents |
| Repo stars | 42,512 |
| License | MIT |
| Repo last push | 2026-11-09 |
Links
- Roles: llm-engineer
- Source repo: wshobson/agents
- Same repo: eval-harness-first, evaluation-methodology, finetuning-method-selection, grpo-rlvr-training, lora-qlora-recipes, python-anti-patterns, python-background-jobs, python-code-style
- Registry seed skills for this role: llm-engineer seed skills