mimartin1234/uplimit-synthetic-data-week-1-filtered

Uplimit课程中“Synthetic Data Generation for Fine-Tuning”的一部分，这是一个经过清洗和过滤的真实指令调整数据集的子集，用于监督微调（SFT）的实验。目标是通过对现实世界中的指令-响应数据进行语义去重和自动质量评分，生成高质量的合成数据集。数据集包含提示和响应的文本以及预测的教育价值分数。

This dataset is part of the Uplimit course Synthetic Data Generation for Fine-Tuning. It is a cleaned and filtered subset of a real instruction-tuning dataset intended for experimentation with supervised fine-tuning (SFT). The goal was to produce a high-quality synthetic dataset by curating and filtering real-world instruction-response data using semantic deduplication and automated quality scoring. The dataset includes the text of prompts and responses, as well as the predicted educational value score.