Train models to identify compliance issues in hotel billing responses with step-level constraint annotations.

Extract text-grounded attributes from menu names and descriptions to support menu structuring and model fine-tuning.

Banking business work summary text dataset to support financial industry text analysis and intelligent decision-making.

Turn luxury hotel room and suite descriptions into structured attributes for accommodation catalog extraction and model training.

This dataset focuses on barcode image recognition and security protection applications.

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

Train models to recognize and classify guest needs across the luxury hotel service journey.

Labeled images of fighting and walking in public scenes support behavior recognition and monitoring of potential incidents.

This dataset presents the structure of tableware placement under different conditions in image form. It is used to enhance the intelligence level of dining management and automated placement systems.

Train models to verify food nutrition claims against evidence from product catalog records.

The subway platform crowding estimation video dataset is used to enhance traffic flow management and safety.

Train models to handle major appliance shopping requests more accurately with complete search and comparison tool-call trajectories.

Train models to understand luxury hotel packages and resort experiences and extract their key attributes.

A high-quality image dataset for detecting leftover areas on cafeteria trays.

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

Retrieve business hotel catalog details with verifiable source evidence, from room configurations to rates and cancellation terms.

Improve hotel search understanding and matching with evidence linking queries, lodging catalogs, and entity relationships.

The X-Ray Image Contraband Detection Dataset at Security Checkpoints focuses on improving the accuracy of contraband identification in baggage screening images.

An audio dataset covering front desk service dialogues, supporting the training of intent classification models.

Train models to use tools reliably and answer with evidence through inventory and batch lookup trajectories grounded in specialty food retail.