license: mit
language:
- en
pretty_name: EvalKit Tutorial v0.1
size_categories:
- n<1K
tags:
- synthetic
- evaluation
- rubric
- tutorial
EvalKit Tutorial v0.1 Dataset Card
This dataset is synthetic tutorial data for exercising local EvalKit workflows. It is not expert-authored, not human-validated, not benchmark-grade, and not a safety or model-quality certification.
Intended Use
Use these small fixtures to run evalkit validate-rubric, evalkit lint-rubric, evalkit score, report generation, and adapter mapping examples without an AuraOne account or API key.
Out Of Scope Use
Do not use this data to compare models, publish benchmark claims, certify safety, or represent customer reviewer performance.
Files
rubric.jsonl: synthetic code-review tutorial rubric.model_outputs.jsonl: synthetic tutorial model outputs.labels.jsonl: synthetic tutorial labels.expected_scores.json: deterministic expected score summary.LICENSE: MIT-compatible fixture license.
Synthetic Generation Process
Rows were hand-written as low-risk code-review-style tutorial examples. They intentionally avoid medical, legal, safety-critical, customer, reviewer identity, and production data.
Limitations
- Small sample count.
- Not validated by domain experts.
- Public tutorial data can leak into prompts and should not be used as a hidden eval.
Citation
Cite AuraOne EvalKit documentation when reusing the template or adapting the schema.