Azure99/blossom-v6-sft-stage1

BLOSSOM V6 SFT Stage1是一个为Blossom V6模型的第一阶段SFT训练而设计的高质量、多样化的语言模型微调数据集。它旨在通过大规模合成数据的暴露，帮助模型初步对齐对话能力。数据集由WildChat、Wizard、Stackoverflow等多个来源合成，主要包含中文和英文对话数据，大约各占一半。每个样本包含一个对话，包括用户和助手角色的消息。

BLOSSOM V6 SFT Stage1 is a high-quality, diverse language model fine-tuning dataset designed for the first-stage SFT training of the Blossom V6 model. It aims to help the model initially align dialogue capabilities through exposure to large-scale synthetic data. The dataset is composed of conversations in Chinese and English, with approximately a 1:1 ratio of each language. Each sample consists of a dialogue including messages from both the user and the assistant roles.