DCAgent/FourDatasetMixQwen3_8B_data

FourDatasetMixQwen3_8B数据集是一个用于微调Qwen3-8B模型的混合数据集，包含来自四个不同数据集的9,987个示例。这些数据集包括tezos_glm5awq_traces、exp_rpt_issues_glm5awq_traces、stackex_superuser_glm5_traces_v2和swesmith-glm5-awq-traces-10k。数据集采用特定的采样方法，确保数据的稳定性和可重复性。每个示例包含对话列表、来源数据集名称和可选的系统提示。数据集格式为每行一个JSON对象，适用于LLaMA-Factory的sharegpt加载器。数据集用于文本生成任务，语言为英语，大小在1K到10K之间。

The FourDatasetMixQwen3_8B dataset is a mix of four different datasets used for fine-tuning the Qwen3-8B model, containing 9,987 examples. The source datasets include tezos_glm5awq_traces, exp_rpt_issues_glm5awq_traces, stackex_superuser_glm5_traces_v2, and swesmith-glm5-awq-traces-10k. The dataset uses a specific sampling methodology to ensure stability and reproducibility. Each example includes a list of conversations, the source dataset name, and an optional system prompt. The dataset format is one JSON object per line, compatible with LLaMA-Factorys sharegpt loader. The dataset is designed for text-generation tasks, is in English, and has a size between 1K and 10K examples.