a benchmark designed to evaluate large language models (LLMs) specifically in their ability to answer real-world coding-related questions.

aims to track, rank, and evaluate LLMs and chatbots as they are released.

focuses on understanding how these models perform in various scenarios and analyzing results from an interpretability perspective.

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 benchmark for evaluating AI models across multiple academic disciplines like math, physics, chemistry, biology, and more.

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