xTayyub/High-Quality-Synthetic-Python-Dataset-with-Reasoning-Traces-Chain-of-Thought-for-LLM-Fine-Tuning

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.… See the full description on the dataset page: https://huggingface.co/datasets/xTayyub/High-Quality-Synthetic-Python-Dataset-

<iframe src="https://silytics.si/embed/item/94dea5cb-9f8b-44eb-8d68-46c2d6d964e1" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 20 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.