agentlans/text-sft-questions-answers-only

text-sft数据集是由来自Wikipedia、Cosmopedia和FineWeb-Edu的简短摘录生成的问答对组成的。这个数据集是一个经过修改的版本，用于帮助模型学习语言模式、句法结构和问题及其对应答案之间的语义关联。它适用于训练或评估语言模型在问题形成和理解方面的能力，以及改进BERT等模型中的嵌入或表示学习任务。但这个数据集不适合用于训练传统的问答系统，因为它缺乏足够的事实背景支持。

The text-sft dataset consists of question-and-answer pairs generated from short excerpts drawn from Wikipedia, Cosmopedia, and FineWeb-Edu. It is an adapted version designed to help models learn linguistic patterns, syntactic structures, and semantic associations between questions and their corresponding answers. It is suitable for training or evaluating language models on question formation and comprehension, as well as for improving embedding or representation learning tasks in models like BERT. However, this dataset is not suitable for training traditional QA systems due to the lack of sufficient supporting context for factual grounding.