vgbench/VGQA
The VGQA dataset is the first comprehensive benchmark for evaluating large language models (LLMs) on vector graphics processing and generation capabilities.
Description
VGQA Dataset
Overview
- Task Category: Visual Question Answering (visual-question-answering)
- Dataset Scale: 1K < n < 10K
Citation
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BibTeX:
@misc{zou2024vgbenchevaluatinglargelanguage, title={VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generation}, author={Bocheng Zou and Mu Cai and Jianrui Zhang and Yong Jae Lee}, year={2024}, eprint={2407.10972}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2407.10972}, }
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Topics
Source
Organization: hugging_face
Created: Unknown
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