hfjev

Name: hfjev
Availability: InStock
Author: hemanth

Classify Hugging Face datasets across typed semantic dimensions with TypeSafe Jev System One. Auto-adapts evaluation rubrics to dataset domains (reviews, news, LLM tuning, support) and classifies rows

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intermediate

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4/5 quality

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Last updated: September 23, 2026

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Real data. Real impact.

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Quick Start

Install Command

git clone https://github.com/hemanth/hfjev.git

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hfjev

Where Jev makes the decision

hfjev classifies dataset rows in parallel across typed Choice, Score, and Noul dimensions against TypeSafe System One.

Why it matters

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Claims & evidence

Author and repository text is preserved where clear; missing languages are enriched automatically. Checks establish source-level Jev integration, not runtime, safety, or performance validation.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: hemanth/hfjev — 1 stars, MIT. Listed by Awesome Jev.

hfjev

AI Skill Market Insights

Quick Start

Install Command

TEAR & SHARE

Tags

dbt Unit Tests (dbt Labs)

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hfjev

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