dataset-hub 0.1.2

A unified API for exploring any ML task

DatasetHub: A Unified API for Exploring Any ML Task

import dataset_hub

housing = dataset_hub.regression.get_housing() # pd.DataFrame

Installation

# Python 3.9+
pip install dataset-hub

If you run into installation issues, please write here

Key Features

• Unified one-line API — load any dataset with get_<dataset>().
• Wide task coverage — classification, regression, time series, and potentially more.
• Rich documentation — metadata, columns, examples, and source links.
• Starter baselines — quick starter models for every dataset.
• Curated, not crowded — a focused hub of easy-to-use, well-documented datasets.

Supported Datasets

Every dataset in DatasetHub comes with a ready-to-run baseline, so you can start experimenting immediately.

Task	Dataset	Documentation
Classification	Titanic	Link
Classification	Iris	Link
Regression	California Housing Prices	Link
Time Series	Household Electric Power Consumption	Link

💡 Have ideas for new datasets or features?

Join the discussion and tell us what you'd like to see next.

Why this library exists

Every time I wanted to try a new ML task from scratch, I faced a chain of steps:
search for a suitable dataset → download it → load it into Python → write a baseline.

Some of these steps were surprisingly complex, and sometimes I just gave up.
The challenge grew even bigger when exploring new ML domains — take graph ML, for example — and honestly, I had no idea where to begin.

I created DatasetHub to solve this problem: it gives a unified, easy-to-use interface to access datasets, each with a ready-to-run baseline so you can start experimenting immediately.

API Disclaimer

DatasetHub downloads datasets from external public sources. Because of this:

1. Sources may become unavailable
   If a dataset's original source (and mirrors) goes offline or changes, the corresponding get_<dataset>() function may stop working. If this happens, please write here

2. API may change
   If a dataset is no longer publicly accessible, it may be removed from the library.

3. Copyright
   If a copyright holder requests removal of their dataset, we will comply and update the API accordingly.

For copyright holders

If you believe your dataset should not be included, please contact us. We will review the request and remove or restrict access promptly.

Contributing

We’d love to have you on board!
If you’re excited to help develop and grow DatasetHub, please let us know in the discussion.
Once you express interest, we can provide guidance, suggest tasks, and outline contribution guidelines to help you get started.