# S1MB dataset

Typed decisions over shared state, with Choice, Noul and numeric Score supervision.

Use `training-manifest.json` for the active test membership. `all-data-manifest.json` also includes quarantined sources for audit only.

| Role | Subsets | Cases | Judgments |
|---|---:|---:|---:|
| train | 0 | 0 | 0 |
| evaluation | 106 | 14,009 | 26,269 |

## Columns

| Column | Purpose |
|---|---|
| input | Shared state and typed decisions; the only inference input. |
| targets | Aligned target distributions and annotation metadata. |
| split | train, validation or test. |
| case_id | Stable case identifier. |
| group_id | Related-case grouping. |
| language | Language code. |
| input_hash | Stable input identity for audits. |

Score values come from the explicit numeric criteria, not candidate indices. Noul retains authored false/true definitions. Preserve soft targets and candidate order. Repeated strings use physical dictionary encoding; decoded values remain strings.

## Loading

```python
from datasets import load_from_disk

ds = load_from_disk("PATH_TO_RELEASE/laya__typed_decisions")
row = ds["test"][0]
```

## Sources

See `sources.json`, `SOURCES.md` and `dataset_metadata.json` for upstream datasets, revisions, attribution and license scope. The `laya__` namespace denotes the Laya-source conversion pipeline; it does not imply Laya authored those upstream datasets. `laya__typed_decisions` contains four synthetic workflows published by LocalLLaMA. No blanket relicensing is applied. `namespace-map.json` records names; identifiers remain stable.