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

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

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

a benchmark dataset testing AI's ability to reason about visual commonsense through images that defy normal expectations.

a comprehensive benchmarking platform designed to evaluate large models' mathematical abilities across 20 fields and nearly 30,000 math problems.

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