a benchmark for evaluating the performance of large language models (LLMs) in various tasks related to both textual and visual imagination.

a large-scale Document Visual Question Answering (VQA) dataset designed for complex document understanding, particularly in financial reports.

a benchmark designed to evaluate large language models in the legal domain.

a benchmark that evaluates large language models' ability to answer medical questions across multiple languages.

a Swedish language understanding benchmark that evaluates natural language processing (NLP) models on various tasks such as argumentation analysis, semantic similarity, and textual entailment.

benchmark designed to evaluate large language models (LLMs) on solving complex, college-level scientific problems from domains like chemistry, physics, and mathematics.