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Dataset · Hugging Face

DatologyAI/DatBench

DatBench: Discriminative, Faithful, and Efficient VLM Evaluations DatBench is a curated evaluation suite for vision–language models (VLMs) designed to be faithful, discriminative, and efficient. 📄 DatBench: Discriminative, Faithful, and Efficient VLM Evaluationshttps://arxiv.org/abs/2601.02316 Modern VLM benchmarks often overestimate model capability due to multiple-choice inflation, language-only shortcuts, annotation noise, and redundant low-signal samples. DatBench… See the full description on the dataset page: https://huggingface.co/datasets/DatologyAI/DatBench.

Author / organizationDatologyAI
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Created1 January 2026
Last updated at source12 October 2026
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