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Evaluate AI with home-assistant-datasets

Name: Evaluate AI with home-assistant-datasets
Author: allenporter

Get datasets for evaluating AI models in Home Assistant. For founders building smart home integrations.

243 stars15 forksJupyter NotebookQuality 8/10Updated 7/22/2026100% free · open source

What it does

Home Assistant datasets provides a collection of datasets for evaluating AI models in the context of Home Assistant, allowing founders to test and improve their smart home integrations.

Install / run

pip install home-assistant-datasets

When to use it

•When building a smart home integration that requires machine learning models
•When evaluating the performance of AI models in a Home Assistant environment
•When needing datasets to train and test AI models for home automation tasks

Quick start

1Clone the GitHub repository: git clone https://github.com/allenporter/home-assistant-datasets
2Navigate to the repository directory: cd home-assistant-datasets
3Open a Jupyter Notebook: jupyter notebook
4Explore the available datasets in the `datasets` directory
5Use the `load_dataset` function from `home_assistant_datasets` module to load a dataset in a Jupyter Notebook

Ready-to-paste prompt

from home_assistant_datasets import load_dataset; dataset = load_dataset('temperature')

Heads up: Make sure to have the necessary dependencies installed, including Jupyter Notebook and the `home-assistant-datasets` package, and be aware that some datasets may require additional setup or preprocessing before use

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