A candidate-scoring head returns distributions for gates, routes and scores without decoding prose or JSON answers. The README compares a benchmark-trained AgentJev specialist with Jev 1.13.0 evaluated zero-shot; these use different training conditions.
jev-dataops: An open-source JEV-powered workbench for streaming
RenaGao/jev-dataops
VerifiedResearchDocumented
jev-dataops: An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model. See Jev references and source code.
Repository description: An open-source JEV-powered workbench for streaming data selection, quality evaluation, automatic LoRA training and held-out model evaluation.
What you can build with it
Get started
Clone the repository and follow its README for install and usage. JevHunt has not run this project.
git clone https://github.com/RenaGao/jev-dataops.gitProject facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-21
- Last code update
- 2026-09-23
- GitHub stars
- 61
- Evidence checked
- Sep 29, 2026
- Metadata checked
- Sep 29, 2026
- Check status
- Up to date
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
export TYPESAFE_API_KEY='replace-with-your-typesafe-key'
Evidence commit: 6b7b86a17beb3f8ddbdae2e1813b9a1730362551
Discovered through: awesome-jev.
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