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 / organization | appledora |
|---|---|
| License (as declared) | mit |
| Downloads | 544 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 10 May 2025 |
| Last updated at source | 25 June 2026 |
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