sequelbox/Titanium2-DeepSeek-R1

Titanium2-DeepSeek-R1数据集专注于架构和DevOps领域，测试DeepSeek R1模型在架构和编码技能方面的极限。该数据集包含32.4k个针对架构、云和DevOps的合成生成的提示，所有响应均由DeepSeek R1生成。主要专业领域包括架构（问题解决、场景分析、编码、完整的软件开发生命周期）和DevOps（Azure、AWS、GCP、Terraform、shell脚本）。合成提示使用Llama 3.1 405b Instruct生成，响应展示了DeepSeek的685b参数R1推理模型的能力。数据集未经过滤或编辑，以准确反映R1模型，可能存在的问题包括回答不准确和无限思考循环。

Titanium2-DeepSeek-R1 is a dataset focused on architecture and DevOps, testing the limits of DeepSeek R1s architect and coding skills! This dataset contains 32.4k synthetically generated prompts focused on architecture, cloud, and DevOps, with all responses generated using DeepSeek R1. The primary areas of expertise include architecture (problem solving, scenario analysis, coding, full SDLC) and DevOps (Azure, AWS, GCP, Terraform, shell scripts). Synthetic prompts are generated using Llama 3.1 405b Instruct, and responses demonstrate the reasoning capabilities of DeepSeeks 685b parameter R1 reasoning model. The dataset is presented as-is without filtering or editing to accurately represent the R1 model, with potential issues including inaccurate answers and infinite thought loops.