The Pharmacy Prescription Text Extraction Dataset focuses on extracting and recognizing text data from medical prescription images.

A high-quality dataset designed to improve daily meeting minutes text information extraction and classification.

Extract hazards, exposed entities, and control measures from work-at-height observations to streamline the structuring of safety records.

Evaluate agricultural language understanding by extracting banana pest and disease names, affected parts, symptoms, and occurrence status from web text.

Train models to understand core commercial litigation documents and identify claims, case facts, disputed issues, and requested relief.

The Practical Family Recipe Text Dataset aims to enhance the convenience and diversity of home cooking skills.

Extract key provisions, effectiveness conditions, and financing implications from complex leveraged loan amendments and waivers.

Train models to identify ambiguity and missing details in home service bookings, ask focused questions, and return consistent JSON.

The Clinic Electronic Medical Record Q&A Dataset focuses on image data mining in the healthcare field.

Convert component descriptions and fabrication requirements into structured specifications for prefabricated construction data management and model training.

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

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

Identify parties, courts, businesses, and contracts in commercial litigation documents with annotations tailored to the language of legal proceedings.

Train models to identify contract parties and extract their rights and obligations from public automotive finance leasing webpages.

Turn luxury hotel dining descriptions into structured catalog attributes for smarter information extraction and catalog management.