I've been doing some data cleaning for my fine tuning projects using LLMs, and decided to just build a package for it as a side project. Check it out here: https://github.com/databonsai/databonsai
Some features:
- categorization (labelling), transformation and decomposition (text into structured format)
- validates llm outputs
- batch mode batches up the inputs/outputs so you don't send the prompt (schema, fewshot examples) for every row of data, saving a significant amount of tokens
There are some similarities to the Instructor repo, but this is simpler and made for datasets. Would love any feedback/suggestions (and a star if you like it!)
Some features:
- categorization (labelling), transformation and decomposition (text into structured format) - validates llm outputs
- batch mode batches up the inputs/outputs so you don't send the prompt (schema, fewshot examples) for every row of data, saving a significant amount of tokens
There are some similarities to the Instructor repo, but this is simpler and made for datasets. Would love any feedback/suggestions (and a star if you like it!)