decision-eval / README.md
peterAmberTrace's picture
Publish prompts/features-only dataset (AT = gold; scored live)
94da2ac verified
|
Raw History Blame Contribute Delete
2.33 kB
---
license: mit
language:
- en
tags:
- rlvr
- reinforcement-learning
- alignment
- reasoning
- verifiable-rewards
pretty_name: AmberTrace — Certified Decision Eval Suites
---
# AmberTrace — Certified Decision Eval Suites
Cross-domain eval and OOD/prediction probe suites used by the alignment matrix. Prompts and answer vocabularies only — the certified `oracle` and `undecidable` verdicts are stripped; score live against AmberTrace.
## AT = gold — this dataset ships no answers
The [AmberTrace](https://ambertrace.ai) verifier *is* the answer. Every certified-answer column
(`gold` / `oracle` / `decision` / `triage_reason` / `undecidable`) has been
**stripped** from these files: a public `(features → certified decision)` map
would give the decision function away and let any leaderboard be gamed.
**Score live** by submitting the prompts/features to AmberTrace and reading the
certificate at eval time — the verifier is the oracle, not a static key.
## Files
| File | Rows | Fields | Notes |
|------|-----:|--------|-------|
| `decision_eval_v1.jsonl` | 1350 | `id`, `domain`, `prompt`, `vocabulary`, `difficulty` | 1,350-item cross-domain decision eval; `oracle` + `undecidable` stripped. |
| `ood_probe_v1.jsonl` | 120 | `id`, `domain`, `prompt`, `vocabulary`, `difficulty` | 120-item out-of-distribution probe; `oracle` + `undecidable` stripped. |
| `prediction_eval_v1.jsonl` | 40 | `id`, `domain`, `prompt`, `vocabulary`, `difficulty` | 40-item symbolic-forecast eval; `oracle` + `undecidable` stripped. |
## Provenance
These platforms were **agent-authored via the AmberTrace SDK** and
acceptance-gated; the prompt/feature files are generated reproducibly from
the source repo. See [`ambertrace-rlvr`](https://github.com/ambertrace-labs/ambertrace-rlvr) and its `data/` +
`examples/gen_*.py` generators.
## Reproduce / score
- Library: `pip install ambertrace-rlvr` — [https://pypi.org/project/ambertrace-rlvr/](https://pypi.org/project/ambertrace-rlvr/)
- Source, methodology, and the live-scoring path: [https://github.com/ambertrace-labs/ambertrace-rlvr](https://github.com/ambertrace-labs/ambertrace-rlvr)
- Publishing policy (AT = gold): [`docs/HUGGINGFACE.md`](https://github.com/ambertrace-labs/ambertrace-rlvr/blob/main/docs/HUGGINGFACE.md)
## License
MIT (see the source repo).