MigoXLab/dingo
AI-powered data quality assessment and evaluation platform for LLM training datasets, hallucination detection, and RAG system evaluation.
Not currently ranked — collecting fresh signals.
star history
Dingo is a comprehensive evaluation tool for AI data, models, and applications. It provides automated quality assessment of machine learning datasets, including hallucination detection in generated content and validation of LLM training data. The platform supports evaluation using LLMs as judges and integrates with models like DeepSeek, Qwen, and VLMs for assessment tasks.
Frequently asked
- What is MigoXLab/dingo?
- AI-powered data quality assessment and evaluation platform for LLM training datasets, hallucination detection, and RAG system evaluation.
- Is dingo open source?
- Yes — MigoXLab/dingo is open source, released under the Apache-2.0 license.
- What language is dingo written in?
- MigoXLab/dingo is primarily written in Python.
- How popular is dingo?
- MigoXLab/dingo has 728 stars on GitHub.
- Where can I find dingo?
- MigoXLab/dingo is on GitHub at https://github.com/MigoXLab/dingo.