Add dataset card, link to paper and project page

README.md

@@ -1,3 +1,18 @@
 ---
 license: apache-2.0
+task_categories:
+- image-text-to-text
+tags:
+- vlm
+- spatial-reasoning
 ---
+
+# SpaceNum: Revisiting Spatial Numerical Understanding in VLMs
+
+[Project Page](https://sterzhang.github.io/SpaceNum-Home/) | [Paper](https://huggingface.co/papers/2605.23898)
+
+SpaceNum is a unified framework designed to evaluate how well Vision-Language Models (VLMs) ground numerical outputs in spatial perception. It covers two complementary settings:
+1. **Numbers as dynamic transitions** during spatial exploration.
+2. **Numbers as static layouts** in spatial reasoning.
+
+The benchmark formulates two bidirectional tasks, **Num2Space** and **Space2Num**, to assess the mapping between vision-side spatial structures and language-side numerical representations. SpaceNum aims to determine if VLM numerical outputs are truly grounded in spatial perception or if models rely on shallow spatial cues.