| --- |
| license: mit |
| task_categories: |
| - text-classification |
| language: |
| - en |
| tags: |
| - system-one |
| - typed-decisions |
| - synthetic |
| size_categories: |
| - 10K<n<100K |
| pretty_name: systemone-lite-general |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| - split: test |
| path: data/test-* |
| - split: test_hard |
| path: data/test_hard-* |
| - split: full |
| path: data/full-* |
| --- |
| |
| # systemone-lite-general |
|
|
| Synthetic typed-decision rows for |
| [`systemone-lite`](https://github.com/fritzprix/systemone-lite) |
| (letter-alias `choice` labels for causal LM SFT). |
|
|
| Not affiliated with TypeSafe AI / Jev. Labels are rule-based, not human prefs. |
|
|
| ## Splits |
|
|
| | Split | Rows | Notes | |
| |------|------|------| |
| | `train` | 32 400 | Stratified mix of 3 gyms | |
| | `test` | 3 600 | iid held-out by task | |
| | `test_hard` | 5 400 | layout / paraphrase / option-subset shift | |
| | `full` | 36 000 | train + iid test | |
|
|
| ## Gyms |
|
|
| - **TicketDungeon**: `ticket.route`, `ticket.needs_human`, `ticket.urgency` |
| - **ResourceAllocator**: `alloc.fund_next`, `alloc.can_fund_all`, `alloc.pressure` |
| - **DebateJudge**: `debate.winner`, `debate.enough_evidence`, `debate.confidence` |
|
|
| ## Downstream numbers (same repo) |
|
|
| Fine-tune → [`dwidlee/systemone-lite-0.5b`](https://huggingface.co/dwidlee/systemone-lite-0.5b): |
|
|
| | Split | Base 0.5B | SFT | |
| |---|---:|---:| |
| | `test` (n=3600) | 0.439 | 0.679 | |
| | `test_hard` (n=5400) | 0.427 | 0.652 | |
|
|
| ## Load |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("dwidlee/systemone-lite-general") |
| print(ds) |
| ``` |
|
|
