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appledora/DORI-Benchmark

Dataset Details Dataset Description DORI (Discriminative Orientation Reasoning Intelligence) is a comprehensive benchmark designed to evaluate object orientation understanding in multimodal large language models (MLLMs). The benchmark isolates and evaluates orientation perception as a primary capability, offering a systematic assessment framework that spans four essential dimensions of orientation comprehension: frontal alignment, rotational transformations… See the full description on the dataset page: https://huggingface.co/datasets/appledora/DORI-Benchmark.

Author / organizationappledora
License (as declared)mit
Downloads544 (as reported by Hugging Face)
Likes3
Created10 May 2025
Last updated at source25 June 2026
vlmmultimodalevaluationqnamllmorientationspatialbenchmarkreasoningvision
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