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---
pretty_name: JevBench
license: other
license_name: per-source
license_link: LICENSE.md
language:
- en
tags:
- evaluation
- calibration
- typed-decisions
- benchmark
size_categories:
- 10K<n<100K
---
# JevBench
Cases and predictions for *JevBench: An Open Evaluation Framework for Typed
Decision Models*. The evaluation code is on GitHub: https://github.com/Leanmcp/jevbench JevBench evaluates models that return typed decisions
(a yes/no probability, a distribution over a set of choices, or an expected
level on an ordered rubric) on identical inputs built from public datasets.
## Contents
| Path | What it holds |
|---|---|
| `cases/` | One JSONL file per slice. Each row is the exact request sent to every model, plus the gold answer, source revision and licence. |
| `images/` | Images for the ScienceQA and VQA-RAD image slices. |
| `predictions/<system>/predictions.jsonl` | One decision per case with the full probability vector, latency and token counts. No source text. |
| `analysis/` | Paired bootstrap results and the djev image ablation. |
| `provenance/djev/` | Serving provenance for djev-0.1 (vLLM command line, container logs, configuration). |
| `sources.json` | Every source dataset pinned to a Hugging Face revision, with the fields sent and withheld. |
Systems: `jev-1.13.0` (hosted commercial model), `djev-0.1` (open, DiffusionGemma
26B-A4B backbone; `djev-0.1-images` holds its image slices), `laya-421m-en`
(open, ModernBERT-large encoder). Total: 24,799 decisions.
## Licences
Each case row carries the licence of its source dataset in its `license` field;
licences do not merge across sources. SST-5 states no licence on its card, so
its cases are released without their sentence text: `state_hash` identifies each
sentence, which can be recovered from the pinned source revision in
`sources.json`.
## Code
The harness that downloads the sources, builds and verifies these cases, runs
models and scores them is released under the MIT Licence at https://github.com/Leanmcp/jevbench. Each
`predictions/<system>/scores.json` holds the scores reported in the paper.