Update README.md

README.md

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----
-license: cc
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+---
+pretty_name: SpatiaLQA
+language:
+- en
+task_categories:
+- visual-question-answering
+- question-answering
+tags:
+- multimodal
+- vision-language
+- spatial-reasoning
+- logical-reasoning
+- visual-question-answering
+size:
+- 9.6K
+license: mit
+size_categories:
+- 1K<n<10K
+---
+
+# SpatiaLQA
+
+## Dataset Summary
+
+SpatiaLQA is a benchmark for evaluating **spatial logical reasoning** in vision-language models.  
+It focuses on reasoning abilities in real-world indoor environments, including spatial relations among objects and logical dependencies in multi-step tasks.
+
+This dataset is introduced in the paper:
+
+**SpatiaLQA: A Benchmark for Evaluating Spatial Logical Reasoning in Vision-Language Models**  
+Authors: Yuechen Xie, Xiaoyan Zhang, Yicheng Shan, Hao Zhu, Rui Tang, Rong Wei, Mingli Song, Yuanyu Wan, Jie Song  
+arXiv: [2602.20901](https://arxiv.org/abs/2602.20901)
+
+## Supported Tasks and Leaderboards
+
+The dataset is designed for evaluating:
+- Vision-language understanding
+- Spatial reasoning
+- Logical reasoning
+- Visual question answering in real-world scenes
+
+## Languages
+
+The language used in the question-answer pairs is English.