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

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

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

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

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

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

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

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

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

Help models understand and explain real-world Korean medical instructions, with a focus on procedures, timing, and risk-related details.

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

Connect real-world Korean learning questions with traceable cultural evidence to make pragmatic guidance more reliable.

Train specialized Arabic morphology question answering with source evidence on roots, verb forms, and weak verb changes.

The Prayer Ritual Action Pose Analysis Video Dataset is used for researching and analyzing action poses during prayer processes.

Explore the pragmatic nuances and usage rules of German expressions such as doch, ja, and mal.

Connect source text with supporting passages on metalworking heritage to help models retrieve precise evidence for technique questions.

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

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.

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

Train and evaluate German error diagnosis with examples that connect learner mistakes to corrected sentences and clear grammar explanations.