DatologyAI/DatBench-Full
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-Full.
| Author / organization | DatologyAI |
|---|---|
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 77 |
| Created | 1 January 2026 |
| Last updated at source | 4 May 2026 |
Recent changes
- 16 Oct 2026 Description: 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 Ef → 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 Ef
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