JevCodeAkashPriyadarshii/jev-curate
A Rust dataset-filtering experiment using Jev scores to keep or reject text records.
What Jev does here
Runs local prefilters, calls TypeSafe and applies probability and score thresholds to each record.
Key facts
- Category
- Integrations & bridges
- Stars
- 107
- Forks
- 17
- Language
- Rust
- License
- MIT
- Topics
- arrowclidata-cleaningdata-engineeringdataset-curationeval-harnessfine-tuningjevjsonlllmparquetpolarspretrainingpyo3reasoning-modelsrustsynthetic-datasystem-onetype-safe-aitypesafe-ai
Indexed in the Jev community ecosystem directory, data snapshot 2026-11-02.
Frequently asked questions
What is AkashPriyadarshii/jev-curate?
AkashPriyadarshii/jev-curate is a project in the "Integrations & bridges" category of the Jev ecosystem. A Rust dataset-filtering experiment using Jev scores to keep or reject text records.
Is AkashPriyadarshii/jev-curate open source, and under which license?
AkashPriyadarshii/jev-curate is released under the MIT license; you may view, modify and redistribute it subject to those terms.
What language is AkashPriyadarshii/jev-curate written in?
The primary language of AkashPriyadarshii/jev-curate is Rust.
How popular is AkashPriyadarshii/jev-curate?
As of 2026-11-02, AkashPriyadarshii/jev-curate has 107 stars and 17 forks on GitHub.
What are alternatives to AkashPriyadarshii/jev-curate?
Other projects in the "Integrations & bridges" category include: agentgateway/agentgateway, typesafe-ai/skills, vellum-ai/vellum-assistant, realZachi/pg-jev, kentcdodds/kody.
More in this category
Keep going on this site
Try, docs, cases, and pricing link to each other. The next page is on this site.
- Site directoryThe full list of the pages above.
- EcosystemCommunity projects by category.
- Jev coverageEach entry names the decision and its evidence.
- Daily casesThe next batch of coverage cases, each day.
- CommunityPublic posts, each with its source.
- BuildsNotes on model and site updates.
- PrimitivesChoice, Noul, and Score together.
- PatternsRouting, fan-out, and composite scoring.
- SDKsHTTP, Python, and JavaScript.
Use clavue-jev
- Try a judgmentSend a state and read the answer.
- Live scenesTetris, six rapid judgments, and a sort. Copy the call and run it again.
- Judgment LabSupport triage, release review, compliance routing — edit and run on the spot.
- Compareclavue-jev and jev-1.13.0 answer the same question.
- DemosJudgment examples you can edit.
- PricingInput is $0.042 per million tokens. Output is free.
- APICall POST /v1/judge with a key.
Docs
- IntroductionWhat this model is for.
- Quick startThe smallest call that runs.
- System OneWritten here: a state plus one typed question. The model is clavue-jev.
- StateThe text you send in.
- ConfidenceHow sure the answer is, and when to act on it.
- ChoicePick one mutually exclusive option.
- NoulA yes/no question, returned as the probability of yes.
- ScoreRate along a scale.
- Intent routingOne Choice call dispatches the request.
- Confidence routingAct when confidence is high. Hand off when it is low.
- Fan-outAsk several questions of one state.
- Composite scoringFold several scores into one ranking.
- HTTP APIThe request shape without an SDK.
- Python SDKCall a judgment from Python.
- JavaScript SDKCall a judgment from JavaScript.
Cases
- Use-case mapWhich primitive people use for which job.
- GuardrailsA yes/no check before an action runs.
- Function callingPick which function to call.
- Classify with confidenceDo not act when the class is unsure.
- Semantic findFind the passages that match.
- Parallel questionsAsk the whole set in one call.
- Hierarchical classificationCoarse class first, then the fine one.
- Citation checkWhether a sentence is supported by the source.
- Entity alignmentWhether two names are the same thing.
- Skill suggestionChoose which skill fits the moment.