Datasets:
| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| tags: | |
| - insulin-control | |
| - type-1-diabetes | |
| - distillation | |
| - chain-of-draft | |
| size_categories: | |
| - 1K<n<10K | |
| # loop-qwen-v8 SFT dataset (Gemini insulin-control distillation) | |
| **8,222** chat-format examples used to SFT `loop-qwen-v8` (Qwen3-4B insulin | |
| controller distilled from Gemini-3-flash-preview). Each example is a closed-loop | |
| dosing decision. | |
| ## Format (JSONL, one chat per line) | |
| - **system**: controller spec (IOB-aware, Chain-of-Draft reason-before-act) | |
| - **user**: patient metadata (age, weight, TDD, CF, IC, basal) + 6h history of CGM / insulin / carbs, as JSON | |
| - **assistant**: JSON `{"reasoning": "...", "basal_chunk": [5], "bolus_chunk": [5]}` (reason-first, then the 5-step basal U/hr + bolus U action) | |
| ## Composition | |
| - Gemini (rules-off + IOB + CoD) demonstrations on the **21 training patients** (held-out 9 excluded — leakage guard). | |
| - **Multi-seed meals** (seeds 42/7/13/21) — the key ingredient that let the 4B student reach teacher parity without dosing oscillation. | |
| - Built via `gen_teacher_data.py` -> `audit_to_sft.py` (see the loop-gpt repo). | |
| ## Companion model | |
| `jxx123/loop-qwen-v8` - the 2.5 GB Q4 model trained on this data (held-out-9: TIR 72.4% vs Gemini 73.5%, survival 9/9). | |
| ## Research artifact | |
| Simulation (simglucose) only. Not a medical device; do not use for real insulin dosing. | |