Qwen3.5-reasoning-700x

# Dataset Card (Qwen3.5-reasoning-700x)

## Dataset Summary

**Qwen3.5-reasoning-700x** is a high-quality distilled dataset.

This dataset uses the high-quality instructions constructed by `Alibaba-Superior-Reasoning-Stage2` as the seed question set. By calling the latest **Qwen3.5-27B full-parameter model** on the Alibaba Cloud DashScope platform as the teacher model, it generates high-quality responses featuring long-text reasoning processes (Chain-of-Thought). It covers several major domains: Mathematics | Code | Logic | Science | Instructions.

## Generation Parameters

- **Seed Data:** Alibaba-Superior-Reasoning-Stage2
- **Teacher Model:** `qwen3.5-27b` (Full-parameter model)
- **API Provider:** Alibaba Cloud DashScope
- **Context Window:** `16384` tokens.
- **Temperature:** `0.6`.


## Dataset Structure

```json
{
"id": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6",
"conversation": [
{
"from": "human",
"value": "Seed question..."
},
{
"from": "gpt",
"value": "<think>\nComplete chain of thought process...\n</think>\n\nFinal answer..."
}
],
"input": "Original seed question...",
"output": "<think>\nComplete chain of thought process...\n</think>\n\nFinal answer...",
"domain": "Math | Code | Logic | Science | ...",
"meta": {
"training_stage": "stage2",
"teacher_model": "Qwen3.5-27B"
}
}
```

## Disclaimers

- **Language Model Hallucinations:** Although Qwen3.5-27B is an exceptionally powerful model and a low Temperature was set to maintain rigor, there may still be a very small number of calculation errors or logical fallacies in the generated data. It is highly recommended to conduct sample quality inspections before proceeding with fine-tuning.
- **License Compliance:** The open-sourcing and usage of this dataset must strictly comply with the open-source license agreement of the Qwen models, as well as the terms of service of Alibaba Cloud DashScope.

# 数据集卡片（Qwen3.5-reasoning-700x）

## 数据集概述

**Qwen3.5-reasoning-700x** 是一款高质量蒸馏数据集。

本数据集以`Alibaba-Superior-Reasoning-Stage2`构建的高质量指令作为种子问题集，通过在阿里云通义千问（Alibaba Cloud DashScope）平台调用最新的**Qwen3.5-27B 全参数模型**作为教师模型，生成具备长文本推理过程（思维链，Chain-of-Thought）的高质量回复。该数据集覆盖五大核心领域：数学 | 代码 | 逻辑 | 科学 | 通用指令。

## 生成参数

- **种子数据（Seed Data）：** Alibaba-Superior-Reasoning-Stage2
- **教师模型（Teacher Model）：** `qwen3.5-27b`（全参数模型）
- **API服务提供商（API Provider）：** 阿里云通义千问平台
- **上下文窗口（Context Window）：** `16384` 个Token（Token）
- **温度系数（Temperature）：** `0.6`。


## 数据集结构

json
{
"id": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6",
"conversation": [
{
"from": "human",
"value": "种子问题文本..."
},
{
"from": "gpt",
"value": "<think>
完整思维链推理过程...
</think>

最终答案..."
}
],
"input": "原始种子问题文本...",
"output": "<think>
完整思维链推理过程...
</think>

最终答案...",
"domain": "数学 | 代码 | 逻辑 | 科学 | ...",
"meta": {
"training_stage": "stage2",
"teacher_model": "Qwen3.5-27B"
}
}

## 免责声明

- **语言模型幻觉（Language Model Hallucinations）：** 尽管Qwen3.5-27B是性能卓越的模型，且通过设置较低的温度系数以保证严谨性，但生成的数据中仍可能存在极少量计算错误或逻辑谬误。强烈建议在开展微调前对样本进行质量检查。
- **许可证合规性（License Compliance）：** 本数据集的开源与使用必须严格遵守Qwen模型的开源许可协议，以及阿里云通义千问平台的服务条款。