---
license: other
license_name: psf-2.0
pretty_name: Python Documentation Training Dataset
language:
- en
tags:
- python
- code
- documentation
---

# 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:

```python
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])