Python-Edu — LLM Instruction / SFT Dataset
A curated collection of high-quality Python tutorials, documentation, and clean code examples for training coding assistants.
Dataset Details
| Provider | OpenCoder |
| Category | Instruction / SFT |
| Size | 400 GB |
| License | MIT |
| Downloads | 120k |
| Tags | Code, Python, Tutorials |
from datasets import load_dataset
ds = load_dataset("")
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Frequently asked questions
Can I use Python-Edu commercially?
Yes — Python-Edu is released under MIT, a permissive license that allows commercial use, including training models you ship in a product. Check the dataset card for attribution requirements before release.
How much data does Python-Edu contain, and do I need all of it?
Python-Edu contains 400 GB. You rarely need all of it: for style and format fine-tuning, a few hundred to a few thousand examples are enough — load a slice (e.g. split="train[:1000]") and scale up only if quality plateaus.
What is Python-Edu best used for?
Continued pretraining for Python code understanding. It belongs to the Instruction / SFT section of our dataset hub, where you'll find alternatives and complementary sets.
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