Shubhu07/processed_chat_messages_financial-qa-10K_for_llama

该数据集是一个经过处理的问题回答数据集，包含五个关键列：问题、答案、上下文、文本和处理后文本的词 tokens 数。这些问题和答案是金融领域的，用于帮助模型在检索增强生成（Retrieval-Augmented Generation, RAG）场景下更好地回答复杂的金融查询。数据集分为训练集、验证集和测试集，分别包含4000、500和100个样本。数据集使用Apache-2.0许可证，适用于文本生成任务类别，语言为英语，标签为金融，数据规模在1K到10K之间。

The dataset is a processed question-answering dataset consisting of five key columns: Question, Answer, Context, Text, and Token Length of Text. These questions and answers are in the financial domain and are used to help the model better answer complex financial queries in the Retrieval-Augmented Generation (RAG) scenario. The dataset is split into training, validation, and test sets with 4000, 500, and 100 samples respectively. The dataset is licensed under Apache-2.0, suitable for the text-generation task category, with English as the language, tagged with finance, and falls under the size category of 1K<n<10K.