Incomple/BLEnD-Vis
BLEnD-Vis BLEnD-Vis is a benchmark for evaluating vision-language models (VLMs) on culturally grounded multiple-choice questions, including a text-only setting and a visual setting with generated images. Paper: https://arxiv.org/abs/2510.11178 Dataset repo: https://huggingface.co/datasets/Incomple/BLEnD-Vis Code: https://github.com/Social-AI-Studio/BLEnD-Vis Source BLEnD-Vis is derived from the BLEnD dataset on Hugging Face (nayeon212/BLEnD). What is… See the full description on the dataset page: https://huggingface.co/datasets/Incomple/BLEnD-Vis.
| Author / organization | Incomple |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 412 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 13 January 2026 |
| Last updated at source | 26 January 2026 |
Recent changes
- 16 Oct 2026 Description: BLEnD-Vis BLEnD-Vis is a benchmark for evaluating vision-language models (VLMs) on culturally grounded multiple-choice questions, including a text-only setting and a visual setting with generated images. Paper: https://arxiv.org/abs/2510.11 → BLEnD-Vis BLEnD-Vis is a benchmark for evaluating vision-language models (VLMs) on culturally grounded multiple-choice questions, including a text-only setting and a visual setting with generated images. Paper: https://arxiv.org/abs/2510.11
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