datasets and home-assistant-datasets

The larger platform provides general-purpose dataset infrastructure and tools that the specialized package uses to distribute and manage Home Assistant-specific evaluation datasets.

datasets
82
Verified
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 22/25
Maintenance 10/25
Adoption 10/25
Maturity 17/25
Community 11/25
Stars: 21,273
Forks: 3,140
Downloads:
Commits (30d): 22
Language: Python
License: Apache-2.0
Stars: 191
Forks: 13
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
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About datasets

huggingface/datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

This tool helps AI practitioners quickly get and prepare datasets for training and evaluating machine learning models. You provide a dataset name or your own data files (like images, audio, or text), and it outputs a ready-to-use dataset that can be fed directly into your model. It's designed for machine learning engineers and data scientists working with AI.

machine-learning-engineering natural-language-processing computer-vision audio-processing data-preparation

About home-assistant-datasets

allenporter/home-assistant-datasets

This package is a collection of datasets for evaluating AI Models in the context of Home Assistant.

This package helps AI model developers and researchers evaluate the performance of conversational AI agents within a smart home context. It provides synthetic home environments and device states as input, runs various AI models (like OpenAI or Google) through Home Assistant, and then collects and evaluates their responses, such as device actions or summaries. The output helps users track how different models, prompts, or tools improve over time.

smart-home-AI conversational-AI-evaluation home-automation-testing natural-language-understanding AI-model-benchmarking

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