xTayyub/High-Quality-Synthetic-Python-Dataset-with-Reasoning-Traces-Chain-of-Thought-for-LLM-Fine-Tuning
收藏Hugging Face2025-12-09 更新2025-12-20 收录
下载链接：
https://hf-mirror.com/datasets/xTayyub/High-Quality-Synthetic-Python-Dataset-with-Reasoning-Traces-Chain-of-Thought-for-LLM-Fine-Tuning
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资源简介：
---
pretty_name: "PyReason-7k: Python Chain-of-Thought"
task_categories:
- text-generation
- question-answering
tags:
- code
- python
- synthetic
- chain-of-thought
- reasoning
size_categories:
- 1K<n<10K
language:
- en
license: apache-2.0
---
# PyReason-7k: Advanced Python Chain-of-Thought Dataset
## Dataset Description
This dataset contains **7,000+ high-quality Python programming examples** designed for LLM fine-tuning.
Each entry includes a detailed `thought_process` (Chain-of-Thought) to teach models logical reasoning before coding.
**Key Features:**
- **Chain-of-Thought:** Step-by-step reasoning traces.
- **Error Handling:** Solutions include try-except blocks and logging.
- **Diverse Tasks:** Algorithms, API handling, Data Structures.
## Sample Data Structure
The dataset is in `.json` format and structured as follows:
```json
{
"instruction": "Task description...",
"thought_process": "Logical steps...",
"code_solution": "Python code...",
"explanation": "Summary..."
}
提供机构：
xTayyub
