a meta-benchmark that evaluates how well factuality evaluators assess the outputs of large language models (LLMs).

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

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

a large-scale question-answering benchmark focused on real-world financial data, integrating both tabular and textual information.

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.