Engineering Innovations in Educational Data Processing
As a companion tool for the EduChat project, CleanTool addresses the key pain points of data cleaning in the education sector. The Python tool supports automated processing of JSON-formatted data, and through GPU-accelerated parallel computing, it can complete operations such as data de-weighting and low-quality sample filtering, and its cleaning efficiency reaches three times that of traditional methods. Practical application cases show that the training data processed by CleanTool can reduce the model perplexity by 15%. Typical usage scenarios include: cleaning the discussion data of Mucous Class platform (accelerated by the -gpu True parameter), filtering the noisy content in the counseling dialogues, etc., which provides infrastructure protection for the construction of a high-quality education dialogues model. modeling for constructing high-quality educational dialogs.
This answer comes from the articleEduChat: Open Source Education Dialogue ModelThe