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