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Python Official Documentation Training Dataset
An Apache Arrow formatted, tokenized dataset created directly from the official Python Documentation (500+ pages). This dataset is optimized for training and fine-tuning language models on core Python concepts, standard library usage, syntax rules, and official programming guidelines.
Dataset Overview
- Dataset Name:
python-training-dataset - Source Material: Official Python Documentation (500+ pages)
- Format: Apache Arrow (
data-00000-of-00001.arrow) - License: Python Software Foundation License (
psf-2.0) - Primary Feature: Pre-tokenized sequence arrays (
input_ids)
Dataset Structure
Data Schema
The dataset contains pre-tokenized token ID lists designed for immediate ingestion into transformer-based neural network models:
| Feature | Data Type | Description |
|---|---|---|
input_ids |
List(int32) |
Tokenized integer sequence representations derived from Python's official documentation |
Quickstart & Loading
You can load this dataset directly using the Hugging Face datasets library:
from datasets import load_dataset
# Load dataset from Hugging Face Hub
dataset = load_dataset("JayeshSharma/python-training-dataset")
# Inspect dataset structure
print(dataset)
# Access a single tokenized sequence
sample = dataset["train"][0]
print("Token IDs sample:", sample["input_ids"][:10])
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