The Balcony Energy Storage Equipment Model Classification Image Dataset aims to optimize energy equipment management and classification.

This dataset provides high-quality lipstick images for image classification and product recognition tasks.

Help models understand workflow creation and modification requests with natural language examples and structured intent annotations.

Match disclosure facts to NDA clauses and retrieve the evidence and conditions that determine whether a disclosure is permitted.

The Amaryllis Image Recognition Dataset focuses on improving flower recognition and classification technology in the agriculture and forestry sector.

Test whether a system can trace complete answer support through definitions and cross-references in licensing agreements.

A comprehensive dataset for detecting and analyzing defects in window lifter mechanisms in the automotive industry.

This dataset is used to detect anomalous running and fleeing actions, aiding the intelligent upgrade of security monitoring systems.

Train models to analyze possible causal links between water quality events and fish responses using trout farming cases with timelines and explicit evidence limitations.

This dataset is used to identify the growth status of crops under drought stress, promoting the development of precision agriculture.

This dataset provides a large number of pumpkin images to aid research and applications in maturity classification.

The Sweet Potato Quality Detection Dataset is a high-quality image dataset for object detection, aimed at improving the efficiency of sweet potato quality assessment.

A video dataset focused on action recognition of infants approaching dangerous areas.

Train models to diagnose FTTB faults more reliably by grounding conclusions in network dependencies and operational evidence.

The 2020 Weather Indicator Time Series Dataset provides precise weather change data for environmental analysis and predictive models.

Evaluate withdrawal level-of-care recommendations against case-specific constraints and test reasoning in addiction psychiatry.

The garden flowers Rhoeo Discolor recognition image dataset is used to improve the accuracy of plant recognition and classification models.

The code generation benchmark dataset is a key resource for improving the accuracy of code generation models.

Train models to understand German grammar in context with instructional web documents, rule judgments, and cross-paragraph QA supervision.

Train models to interpret and reconstruct suspected rootkit activity with multi-source forensic evidence and careful expert reasoning.