Qolda_vision_benchmarks
Collection
These are the vision benchmarks used to evaluate Qolda model • 8 items • Updated
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These are the machine-translated Kazakh and Russian versions of the MMStar dataset. MMStar is an elite vision-language benchmark consisting of high-quality, non-redundant multimodal samples designed to evaluate 6 core capabilities and 18 detailed dimensions of Large Multimodal Models (LMMs). Kazakh and Russian versions serve as a benchmark for evaluating how well models perform advanced visual recognition and multi-step reasoning while avoiding "data leakage" shortcuts, specifically when prompted in Kazakh or Russian.