mtabvqa/MTabVQA-Eval
收藏Hugging Face2025-10-14 更新2025-11-01 收录
下载链接：
https://hf-mirror.com/datasets/mtabvqa/MTabVQA-Eval
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资源简介：
MTabVQA（多表格视觉问答）是一个新颖的基准测试，用于评估视觉语言模型（VLMs）在多个表格作为图像呈现时进行多跳推理的能力。这个场景在现实世界的文档中很常见，但在现有的基准测试中严重代表性不足。数据集包括两部分：MTabVQA-Eval和MTabVQA-Instruct。
MTabVQA (Multi-Tabular Visual Question Answering) is a novel benchmark designed to evaluate the ability of Vision-Language Models (VLMs) to perform multi-hop reasoning over multiple tables presented as images. This scenario is common in real-world documents like web pages and PDFs but is critically under-represented in existing benchmarks. The dataset consists of two main parts: MTabVQA-Eval and MTabVQA-Instruct.
提供机构：
mtabvqa
