Evaluate AI with home-assistant-datasets
From the repo · “This package is a collection of datasets for evaluating AI Models in the context of Home Assistant. ”
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.
- •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
from home_assistant_datasets import load_dataset; dataset = load_dataset('temperature')Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/home-assistant-datasets && curl -fsSL https://workflowstacks.com/api/skills/home-assistant-datasets/claude-skill -o ~/.claude/skills/home-assistant-datasets/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Evaluate AI with home-assistant-datasets is a medium Jupyter Notebook project (~5k+ lines across 67 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3home_assistant_datasets/__init__.pyInside home_assistant_datasets/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/home-assistant-datasets && curl -fsSL https://workflowstacks.com/api/skills/home-assistant-datasets/claude-skill -o ~/.claude/skills/home-assistant-datasets/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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