Train models to reason across Bible chapters and answer questions with traceable, passage-level evidence.

Train more trustworthy French learning assistants with error corrections linked to clear rule explanations and supporting references.

Train models to understand traditional music practices and their cultural contexts with specialist text and verifiable evidence.

Help models understand the fees, rules, responsibilities, and action steps found in Korean housing and rental documents.

Explore the literal meanings, idiomatic senses, and usage conditions of German fixed expressions to improve explanations of real-world language.

Train models to combine evidence across religious text passages and produce grounded, traceable answers within a defined corpus.

Verify claims about traditional craft techniques and materials against traceable, structured knowledge records.

Connect Arabic expressions to real usage contexts, politeness strategies, and register guidance for more precise retrieval of pragmatic knowledge.

Help models explain traditional theater roles, stage conventions, and performance rules using verifiable source material.

Provides smart recognition data on home small-scale ritual activity processes and supplies.

Extract tasks, deadlines, and collaboration relationships from Korean workplace documents for business language learning and model training.

Connect Korean particle questions to source evidence to clarify similar functions, usage conditions, and exceptions.

Explore expert Q&A on traditional instrument roles, ensemble practice, and performance contexts, grounded in supplied sources.

Train and evaluate Korean document understanding with TOPIK reading questions, structured answers, and supporting evidence.

Train models to give verifiable specialist answers grounded in museum collection catalogs.

Train and evaluate Korean document understanding with structured examples of ambiguity and meaning that is implied rather than stated directly.

The Religious Ceremony Type Recognition Dataset provides a wealth of video material to support linguistic and cultural research.

The Religious Activities Chanting Audio Retrieval Dataset is a high-quality audio resource aimed at promoting intelligent recognition and analysis of language and cultural phenomena.

Turn real-world Korean public notices into clear learner-friendly explanations with structured details about requirements and actions.

Connect traditional metalworking knowledge to its source evidence for more reliable craft question answering and retrieval-augmented applications.