Evaluate domain-specific information extraction with structured annotations of temperature sensor limitations, fault conditions, impacts, handling guidance, and evidence.

Train models to analyze clock and reset crossing risks with evidence grounded in RTL, circuit structure, and check reports.

Evaluate domain-specific information extraction across a broad range of common flow sensor operating states.

Train models to reason about ADC and DAC selection and specification trade-offs through detailed, engineering-focused answers.

This dataset contains high-quality images of various smart lighting fixtures for image classification and object recognition tasks.

A dataset for cleaning equipment appearance image classification in the smart device industry.

Evaluate how well models extract key accuracy and calibration claims from specialized temperature sensor web pages.

This dataset focuses on image classification of robotic vacuum cleaners, suitable for visual recognition tasks in the smart home field.

Train models to derive nonlinear relationships, rearrange formulas, and solve for unknowns using empirical varistor voltage–current models.

Explore HDD and SSD wear trends, health degradation risk, and estimated remaining life through workload and telemetry time series.

Evaluate how well models extract and structure key flow sensor specifications from product webpages and technical materials, with field-level annotations and linked source text.

This dataset focuses on image classification for smart air conditioners, aiming to improve device recognition and user interaction efficiency.

This is a unique video dataset focusing on in-vehicle infotainment system interfaces.

This dataset contains various types of smart lock images for image classification tasks.

The Graphical User Interface (GUI) dataset focuses on interaction videos with smart devices.

The smart doorbell voice interaction audio dialogue dataset is a high-quality audio dataset designed to enhance the interaction capabilities of smart doorbell devices.

This dataset focuses on image classification and recognition for smart refrigerators.

The living room smart home abnormal behavior detection video dataset is used to enhance the anomaly detection capability of smart devices.

Gesture recognition image datasets boost the performance of smart devices.

This face recognition image dataset is designed to enhance the recognition capabilities of smart devices.