Train and evaluate SAT data analysis assistants with focused questions and answers that explain the reasoning behind each result.

A dataset focused on the image recognition of various types of juicers.

Connect shopper needs with small appliance product pages and matching evidence to support retrieval training and evaluation for retail.

This dataset is used for target detection of free-range chickens to support agricultural automation monitoring.

Train and evaluate industrial code analysis with labeled Python examples of mineral processing sequences, state transitions, and interlock logic.

This dataset provides high-quality carrot growth stage recognition data to support the development of smart agriculture.

This dataset is used to identify and classify product images of maternity wear, aiding image classification tasks in the e-commerce field.

This dataset focuses on tomato target detection, improving agricultural production efficiency and crop quality.

Help models understand workflow DAG scheduling logic and task execution behavior through source code excerpts and dependency-focused Q&A.

This dataset focuses on the object detection of warning signs in tunnels, aiding the development of traffic safety technology.

This dataset provides images for detecting the proper installation of copper plates in power sockets to enhance quality control in the industrial sector.

Floral health status monitoring dataset, aiding intelligent agricultural management.

This dataset focuses on the monitoring of real-time emergency equipment, supporting object detection tasks to enhance the efficiency of medical equipment management.

This dataset provides a wealth of women's dress fitting images, supporting virtual fitting applications in the e-commerce field.

Use context-rich counseling excerpts and intent annotations to help models understand patients' needs and expressions during health behavior change.

Train models to answer questions about building fire systems using source material, while recognizing when the evidence is insufficient.

Provides a high-quality image dataset for identifying pest leafhoppers in durian planting.

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

This dataset focuses on the recognition of lotus flowers in garden flora, providing data support for floral management and automation.

The Waiting Room Prompt Speech Recognition Audio Dataset aims to improve speech recognition efficiency in healthcare settings.