MERA Text is a benchmark for comprehensive evaluation of language models in Russian. It brings together tasks assessing text understanding and generation, logical reasoning, instruction following, and knowledge of Russian linguistic and cultural contexts. The benchmark enables systematic comparison of modern language models and tracks progress in Russian-language AI.
Industrial MERA is a benchmark for evaluating the applicability of language models to real-world business tasks and industry-specific scenarios. Developed in collaboration with industry partners, it includes practical tasks reflecting domain-specific requirements and professional use cases. The benchmark enables comparison of models based on their ability to solve problems relevant to real-world industrial applications.
MERA Code is a benchmark designed to evaluate language models on programming and software development tasks. It covers code generation, understanding, analysis, debugging, and algorithmic reasoning. The benchmark assesses models' practical coding capabilities and enables comparison across tasks of varying complexity.
Multi MERA is a multimodal benchmark for evaluating models that process text, images, audio, and video. It combines tasks assessing the understanding and interpretation of different modalities, including scenarios that require joint analysis of multimodal information. The benchmark measures how effectively models integrate and reason over information from multiple sources to solve complex tasks.
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