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

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

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

The Hotel Front Desk Visitor Reception Image Dataset focuses on enhancing intelligent visitor flow analysis and service efficiency at the front desk.

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

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

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

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

Train and evaluate roasted coffee product retrieval with retail catalog attributes paired with natural-language queries.

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

Evaluate whether a system can find the right service, identify the right merchant, and support its answer with evidence from multi-merchant catalogs.

The image dataset for detecting boundary violations on subway platforms aids in enhancing rail transit safety monitoring capabilities.

Focused on visual detection of shelf goods out-of-stock to enhance retail management efficiency.

A high-quality text conversation dataset containing hotel ratings, reviews, and replies.

The commercial kitchen hygiene violation detection image dataset is designed to enhance hygiene compliance inspections.

Train specialty food retail models with complete trajectories from interpreting food requests to querying catalogs and responding with product information.

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

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.

This image dataset aids in improving the accuracy and efficiency of recognizing dish types.

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