Omkar2118/datasets huggingface dataset:
Intent-based user instruction for electric automation

For the purpose of training and evaluating our intent classification model for electric automation, we curated a dataset consisting of intent-based user instructions. The dataset comprises a total of 14 intents, each associated with approximately 10 user instructions, resulting in a total of 140 instructions for electric automation. The intents were carefully selected to cover a diverse range of control commands and actions commonly encountered in electric automation scenarios. These intents include commands for turning on/off electrical appliances. Each user instruction in the dataset is labeled with its corresponding intent, allowing the model to learn the mapping between input instructions and their intended actions.

Introducing paper: Augmenting Automation: Intent-Based User Instruction Classification with Machine Learning