Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| language: | |
| - en | |
| tags: | |
| - microsoft-365 | |
| - it-administration | |
| - synthetic | |
| pretty_name: OpenAdmin SFT | |
| # OpenAdmin SFT dataset | |
| The complete supervised fine-tuning dataset for [OpenAdmin 20B](https://huggingface.co/OpenAdminOS/openadmin-20b). 499 examples, all synthetic and machine-validated before admission. No tenant data, no scraped conversations, no distillation from proprietary APIs. | |
| | Track | Examples | Content | Validation | | |
| |---|---|---|---| | |
| | a | 243 | OpenAdminOS agent-manifest drafting | every manifest re-validated against the canonical JSON schema | | |
| | b | 96 | Microsoft Graph call planning (least-privilege scopes) | curated endpoint table | | |
| | c | 60 | retrieval-grounded QA + abstention (answer "NOT IN DOCS" when unsupported) | answer value verified present in source chunk | | |
| | d | 100 | fleet reasoning with mechanically-computed reasoning traces | arithmetic correct by construction | | |
| `train-v1.jsonl` is the exact concatenation used for the v1 release. Each line is `{"messages": [...]}`; track d examples carry a `thinking` field rendered into the harmony analysis channel during training. | |