QWQ-LONGCOT-500K

This repository contains approximately 500,000 instances of responses generated using [QwQ-32B-Preview](
QwQ-32B-Preview) language model. The dataset combines prompts from multiple high-quality sources to create diverse and comprehensive training data.
The dataset is available under the Apache 2.0 license.

Over 75% of the responses exceed 8,000 tokens in length. The majority of prompts were carefully created using persona-based methods to create challenging instructions.

### Bias, Risks, and Limitations

- This dataset is mainly in English.

- The dataset inherits the biases, errors, and omissions known to exist in data used for seed sources and models used for data generation.

- This dataset is not intended to represent any specific domain, and contains generic data.

- The dataset is synthetically generated and hence may contain inaccuracies that do not accurately reflect real-world phenomena.

- The synthetic nature of this dataset may limit its ability to generalize to real-world cases.

- The data is intended for research and experimentation for model training and synthetic data generation.

本仓库包含约50万个由[QwQ-32B-Preview]语言模型生成的回复样本。该数据集整合了多个高质量来源的提示词，以构建多样化且全面的训练数据。本数据集采用Apache 2.0开源协议发布。

超过75%的回复长度超过8000个Token（Token），大部分提示词均通过基于人设的方法精心构建，以生成具有挑战性的指令。

### 偏差、风险与局限性

- 本数据集主要以英文编写。
- 本数据集继承了种子数据源及数据生成所用模型中已知存在的偏差、错误与疏漏。
- 本数据集并非针对任何特定领域，仅包含通用类型的数据。
- 本数据集为人工合成生成，因此可能包含无法准确反映现实世界现象的不准确内容。
- 本数据集的合成特性可能限制其在真实场景中的泛化能力。
- 本数据集仅用于模型训练与合成数据生成相关的研究与实验。

搜集汇总

背景与挑战

背景概述

该数据集包含约50万个由QwQ-32B-Preview语言模型生成的响应实例，结合了来自多个高质量来源的提示以形成多样化的训练数据。超过75%的响应长度超过8000个词符，主要用于模型训练和合成数据生成的研究与实验，并遵循Apache 2.0许可证。