Label, clean and enrich text datasets with LLMs.
Autolabel is a Python library that automates the labeling, cleaning, and enrichment of text datasets by routing them through large language models via a JSON configuration file. Users define a task type (classification, named entity recognition, question answering, and others), specify labeling guidelines and few-shot examples, select a model provider, then call a LabelingAgent to run the labeling pipeline against a CSV dataset. It connects to Claude through Anthropic's API, supporting models such as claude-3-opus-20240229 alongside OpenAI, Google, and HuggingFace-hosted models. A built-in plan step previews the final prompt and estimates cost before any labels are generated, a practical safeguard for large datasets. The library also includes a benchmarking suite that runs identical prompts across all supported models and outputs a results.csv for direct comparison. The primary audience is machine learning engineers and data scientists who need annotated training data at lower cost and faster turnaround than manual labeling workflows.
- ✓Open-source license (MIT)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Mature repo (>1y old)
- !Stale (last commit >557d ago)
git clone https://github.com/refuel-ai/autolabelResumen de Tools
Lo que la gente pregunta sobre autolabel
¿Qué es refuel-ai/autolabel?
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refuel-ai/autolabel es tools para el ecosistema de Claude AI. Label, clean and enrich text datasets with LLMs. Tiene 2.3k estrellas en GitHub y su última actualización registrada es del 2025-03-05.
¿Cómo se instala autolabel?
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Puedes instalar autolabel clonando el repositorio (https://github.com/refuel-ai/autolabel) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar refuel-ai/autolabel?
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Nuestro agente de seguridad ha analizado refuel-ai/autolabel y le ha asignado un Trust Score de 72/100 (tier: OK). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene refuel-ai/autolabel?
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refuel-ai/autolabel es mantenido por refuel-ai. La última actividad registrada en GitHub es del 2025-03-05, con 81 issues abiertos.
¿Hay alternativas a autolabel?
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Sí. En ClaudeWave puedes explorar tools similares en /categories/tools, ordenados por popularidad o actividad reciente.
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