datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
smart-home-energy-prediction
Smart Home Appliance Energy Prediction
Dataset Summary
A public, viewer-ready educational challenge dataset. Host-only scoring data and hidden targets are excluded.
Splits
Split
Examples
Description
train
15,882
Labeled training data
test
3,853
Public inputs with withheld target labels or annotations
Data Fields
Field
Type
date
object
lights
int64
T1
float64
RH_1
float64
T2
float64
RH_2
float64… See the full description on the dataset page: https://huggingface.co/datasets/hoangbang/smart-home-energy-prediction.smart-home-sft-v2SmartHome-Bench
🏠 Dataset Card for SmartHome-Bench
Hugging Face Paper Page
📘 Dataset Summary
SmartHome-Bench is a comprehensive benchmark for video anomaly detection and reasoning in smart-home environments.The dataset contains 1,203 smart-home video clips spanning seven scene categories, among which 1,023 videos are open-sourced and can be downloaded via the provided video URL list.Each video is accompanied by human-annotated descriptions, reasoning chains, and anomaly labels (normal… See the full description on the dataset page: https://huggingface.co/datasets/violetcliff/SmartHome-Bench.Smart_Home_Energy_UsageToyota_Smarthome_Untrimmed_Dataset
Toyota Smarthome Untrimmed (TSU)
Toyota Smarthome Untrimmed (TSU) is a dataset for activity detection in long untrimmed videos. Unlike the trimmed Toyota Smarthome version, TSU preserves the full recording while the person remains visible, making it suitable for long-horizon temporal localization and dense activity understanding in realistic daily living scenarios.
The dataset contains 536 videos with an average duration of 21 minutes. Because TSU is built from the same… See the full description on the dataset page: https://huggingface.co/datasets/thearkaprava/Toyota_Smarthome_Untrimmed_Dataset.smart_home_controlHomeDepot-Smart-Home-Dataset
Home Depot Smart Home Product Dataset
A structured dataset of Smart Home products from Home Depot, featuring detailed product specifications, pricing, category taxonomy, highlights, color variants, dimensions, and brand data. Ideal for training product recommendation models, smart home AI assistants, price intelligence systems, and e-commerce search engines.
Dataset Overview
Field
Details
Source
Home Depot
Total Records
230+
Category Focus
Smart Home, IoT… See the full description on the dataset page: https://huggingface.co/datasets/crawlfeeds/HomeDepot-Smart-Home-Dataset.smart_home_datajoint-intent-slot-smarthome
Enfuse Smart Home Joint Intent and Slot Filling Dataset
Dataset Description
Produced By: Enfuse.io
This dataset contains 2016 unique synthetic examples designed for training and evaluating joint intent classification and slot filling models in the smart home domain. The examples focus on user commands for controlling devices like lights and thermostats, including actions such as setting states (on/off), adjusting attributes (brightness, color, temperature), and querying… See the full description on the dataset page: https://huggingface.co/datasets/enfuse/joint-intent-slot-smarthome.Smart_Home_Energy_Usageprocessed-smarthome-th
processed-smarthome-th
Cleaned Thai speech dataset for smart-home commands: 9,600 utterances (7,680 train / 960 dev / 960 test) with transcripts.
Format
Field
Description
sentence
Transcript in Thai
audio
Audio clip
Usage
from datasets import load_dataset
ds = load_dataset("Porameht/processed-smarthome-th")
Used to fine-tune Porameht/whisper-tiny-smarthome-thai (WER 24.375 on the eval split).
Smart_Home_Energy_Usagesmart-home-energy-gemma3
Smart Home Energy Optimization Dataset (Bilingual - FR/EN)
This dataset is designed for fine-tuning lightweight language models (e.g., Gemma 1B) for local energy assistant use cases in smart homes.It contains synthetic instruction-response pairs in both French and English, ideal for on-device LLMs running on resource-constrained environments like a Raspberry Pi 4 (4GB RAM).
💡 Use Case
Smart Home Energy Assistant:An on-device assistant that helps users reduce energy… See the full description on the dataset page: https://huggingface.co/datasets/Epitech/smart-home-energy-gemma3.Smart-Home-Control-Zh
Home-Assistant-Requests-Zh
Home-Assistant-Requests-Zh is a dataset designed to train large language models (LLMs) in Traditional Chinese for the purpose of controlling smart home systems, specifically targeting Home Assistant systems. The dataset contains user inputs in Traditional Chinese, and the outputs are structured JSON commands that represent the user's intent to control smart home devices.
This dataset was derived from the original Simplified Chinese dataset… See the full description on the dataset page: https://huggingface.co/datasets/youkwan/Smart-Home-Control-Zh.smart_home_tuya_acsmart-home-datasetsmart_home_environment.jsonsmart-home-voice-commands-v1
Smart Home Voice Commands V1
Description
Dataset of smart home voice assistant commands labeled by device control category.
Data Fields
text: Voice command
intent: Device action label
Intents
lights_on
lights_off
increase_temperature
decrease_temperature
play_music
License
CC-BY-4.0
smart-home-energy-analysissmarthome-tool-calling-tiny
Smarthome Tool Calling Tiny
Dataset | Notebook | Demo Video |
A tiny sample dataset for fine-tuning SLMs for tool-calling tasks in the context of smart home assistants. It is synthetically generated and shared for demo purposes.
This custom tool-calling dataset is synthetically created with Afterimage, our purpose-built synthetic dataset generation engine. See the demo video.
What is Afterimage?
Building custom Small Language Models (SLMs) starts with great data.… See the full description on the dataset page: https://huggingface.co/datasets/altaidevorg/smarthome-tool-calling-tiny.smart-homesasha_smart_home_reasoningThis is a dataset of smart home user commands and JSON responses generated by zero-shot prompting of GPT-4. It can be used to fine-tune and/or evaluate language models for responding to user commands in smart homes. For more information, refer to our paper Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models.
https://arxiv.org/abs/2305.09802
If you use the dataset in your work, please cite us:
@article{king2024sasha,
title={Sasha: creative goal-oriented reasoning… See the full description on the dataset page: https://huggingface.co/datasets/ThoughtfulThings/sasha_smart_home_reasoning.smoltrace-smart-home-tasks
SMOLTRACE Synthetic Dataset
This dataset was generated using the TraceMind MCP Server's synthetic data generation tools.
Dataset Info
Tasks: 100
Format: SMOLTRACE evaluation format
Generated: AI-powered synthetic task generation
Usage with SMOLTRACE
from datasets import load_dataset
# Load dataset
dataset = load_dataset("MCP-1st-Birthday/smoltrace-smart-home-tasks")
# Use with SMOLTRACE
# smoltrace-eval --model openai/gpt-4 --dataset-name… See the full description on the dataset page: https://huggingface.co/datasets/MCP-1st-Birthday/smoltrace-smart-home-tasks.smart_home_assistant_datasetSmartHome-Device-QAsmart_home_assistant_datasetsmarthome_hyperformer_featssmart_home_adviceSmart_home_scene_interactive_data_V3smartHome