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Data Labeling & Curation

Using typed decisions to annotate, filter, clean or deduplicate data at volume. These projects usually replace a slower human or LLM labeling pass and keep uncertain rows for review.

41 public projects · page 1 of 2

  • dbt package whose macros run Jev Choice, Noul and Score over SQL values in DuckDB and ClickHouse models.

    ProjectbetaSQL (Jinja)
  • DuckDB extension that asks Jev about every row in SQL and returns answers as ENUM, DOUBLE or STRUCT columns.

    PluginbetaC++
  • Python and Node library that classifies Hugging Face dataset rows on typed Choice, Score and Noul dimensions using Jev.

    ProjectbetaPython, TypeScript
  • Codex plugin for batch labelling JSONL records with Jev under custom policies, with Codex reviewing uncertain labels.

    MCP serverbetaTypeScript
  • Moves a coding agent's bulk semantic judgments (triage, tagging, routing) to Jev; an A/B reports 78% fewer tokens at similar accuracy.

    ProjectbetaPython
  • Google Sheets custom functions JEV_IF, JEV_PROB, JEV_CHOICE and JEV_SCORE that classify, tag and score cells with Jev.

    ProjectbetaJavaScript
  • Mines timestamped driving scenes from vehicle logs by asking Jev lateral and longitudinal manoeuvre questions per moment.

    ProjectbetaPython
  • SQLite and Node library adding Jev judgments to SQL for matching, evidence picking, ranking, review queues and semantic CI checks.

    ProjectbetaJavaScript
  • Record linkage for researchers: write the match rule in plain English and Jev judges each candidate pair with a probability.

    ProjectbetaPython
  • Windows office workbench with search, OCR and batch renaming, where Jev optionally helps pick extracted contract fields.

    ProjectbetaRust
  • Polars library for parallel LLM inference that also asks Jev per-row Noul, Choice and Score questions through a native Rust layer.

    LibrarybetaPython
  • Claude Code plugin that builds reusable Jev signatures for classification or scoring and runs CSV, Excel or text datasets through them.

    PluginbetaPython
  • Decision-first CSV cleaning: code proposes repairs, Jev scores action, applicability and risk, a fixed policy applies or abstains.

    ProjectprototypePython
  • Applies a qualitative codebook to open-ended survey answers and reviews with Jev, exporting uncertain rows for human review.

    ProjectprototypePython
  • Live race labelling 1,000 app reviews with four typed Jev questions versus Gemini 3.8 Flash JSON output.

    AppprototypeJavaScript
  • Neo4j demos using Jev as a calibrated judge in GraphRAG pipelines, starting with entity resolution and a review queue.

    AppprototypePython
  • Minimal FastAPI and React workbench where Jev picks metadata values such as genre for local audio files and writes them back.

    ProjectprototypePython
  • Classifies 1,000 arXiv AI papers into 24 topics with one Jev Choice each and checks agreement against an LLM judge.

    ProjectprototypePython
  • Pipeline that ingests Google Maps restaurant reviews and classifies sentiment, five rating pillars and flags with Jev or an LLM.

    ServiceprototypeTypeScript
  • Small dependency-free library that maps uploaded CSV columns to your schema with exact-name matching, then one Jev Noul per remaining pair.

    ProjectprototypeJavaScript
  • Interactive explorer that uses Jev to tag TC39 proposals by adoption path, cognitive overhead, web-compat risk and intent archetype.

    ProjectprototypeTypeScript
  • Experimental Markdown-to-Sanity mapper where Jev picks which source block fills each field and code copies it, generating no text.

    ProjectprototypeTypeScript
  • Tabular classifier that learns which slices of labeled rows and columns to send Jev or LAYA, stopping when it has enough.

    ProjectresearchPython
  • Python library with a TypeScript port that turns Jev questions into functions over lists and DataFrames, with caching and escalation.

    LibrarybetaPython, TypeScript
  • Sutro's active-learning CLI that finds rows Jev is least sure about, asks you to label them, and uses GEPA to improve the definition.

    CLIbetaPython
  • Grounded extraction where code proposes spans with exact offsets and Jev only classifies each one; a LangExtract alternative.

    LibrarybetaPython
  • grep where the pattern is a description: each line, record, function or diff hunk becomes a streamed Jev yes/no question.

    LibrarybetaPython
  • CLI that normalises messy Japanese addresses to postal codes with rules and Japan Post data, asking Jev only for ambiguous steps.

    LibraryprototypeTypeScript
  • CSV-to-dashboard app that charts columns automatically and optionally has Jev read every row for insights columns cannot answer.

    AppbetaTypeScript
  • Native macOS menu-bar app and CLI that fills Notion database properties with Jev judgments, sending uncertain rows to review.

    DemobetaSwift

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