himanshunakrani9/qwen-reasoning-samples-20260421_221240

10个合成推理示例，通过vLLM使用Qwen/Qwen3.6-35B-A3B模型生成，采用结构化提示设计以引发前沿级（Opus 4.7类）多阶段推理。每个示例都通过质量过滤器，要求推理跟踪遵循明确的6阶段结构（理解→分解→探索→执行→验证→反思），并包括独立的验证步骤。生成细节包括模型、服务器、生成日期、温度、top-p、最大令牌数、主题多样性和难度等级。数据集模式包括主题、难度、问题、推理、验证、答案和常见错误。

10 synthetic reasoning examples generated with Qwen/Qwen3.6-35B-A3B via vLLM, using a structured prompt designed to elicit frontier-level (Opus 4.7 class) multi-phase reasoning. Each example is gated through a quality filter that requires the reasoning trace to follow an explicit 6-phase structure (Understand → Decompose → Explore → Execute → Verify → Reflect) and to include an independent verification step. Generation details include model, server, generation date, temperature, top-p, max tokens, topic diversity, and difficulty level. Dataset schema includes topic, difficulty, question, reasoning, verification, answer, and pitfalls.