Add dataset card, link to paper and project page

README.md

@@ -1,3 +1,23 @@
 ---
 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 Vision-Language Models (VLMs) on their ability to ground numerical outputs in spatial perception. It addresses two complementary settings:
+1. **Dynamic transitions** during spatial exploration.
+2. **Static layouts** in spatial reasoning.
+
+## Tasks
+The benchmark formulates two bidirectional tasks to evaluate the mapping between vision-side spatial structure and language-side numerical representations:
+- **Num2Space**: Evaluating how models map numerical representations to spatial structures.
+- **Space2Num**: Evaluating how models extract numerical values from visual spatial observations.
+
+SpaceNum systematically studies whether current VLMs truly understand numerical values in spatial settings or rely on shallow spatial cues.