Python-Edu
A curated collection of high-quality Python tutorials, documentation, and clean code examples for training coding assistants.
from datasets import load_dataset
ds = load_dataset("")Preview a sample row
def quicksort(arr):
# Sorts an array using the quicksort algorithm.
if len(arr) <= 1:
return arr
pivot = arr[len(arr) // 2]
left = [x for x in arr if x < pivot]
return quicksort(left) + [x for x in arr if x == pivot] + quicksort([x for x in arr if x > pivot])New to fine-tuning? Follow the step-by-step walkthrough: Fine-Tune Your First LLM in 1 Hour
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.