---
title: LONGCOT-Refine-500K
canonical_url: "https://www.modelscope.cn/datasets/PowerInfer/LONGCOT-Refine-500K"
md_url: "https://www.modelscope.cn/datasets/PowerInfer/LONGCOT-Refine-500K.md"
repository: PowerInfer/LONGCOT-Refine-500K
last_updated: 2025-01-04
license: "Apache License 2.0"
storage_size: "3.7 GB"
downloads: 1898
stars: 1
---

# LONGCOT-Refine-500K

> LONGCOT-Refine-500K - PowerInfer 在 ModelScope 开源的数据集。This repository contains approximately 500,000 instances of responses generated using Qwen2.5-72B-Instruct. The dataset combines prompts from multiple high-quality sources to create diverse and…

PowerInfer/LONGCOT-Refine-500K 是 ModelScope 魔搭社区上的数据集，存储大小 3.7 GB，采用 Apache License 2.0 许可。

- **Repository**: PowerInfer/LONGCOT-Refine-500K
- **License**: Apache License 2.0
- **Storage size**: 3.7 GB
- **Downloads**: 1898
- **Stars**: 1
- **Last updated**: 2025-01-04

Source: https://www.modelscope.cn/datasets/PowerInfer/LONGCOT-Refine-500K

---

This repository contains approximately 500,000 instances of responses generated using [Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct
). 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.


### 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.