Update README.md

README.md

@@ -10,37 +10,38 @@ tags:
 - blender
 - synthetic
 - vision-language
-pretty_name: 合成空间视觉语言问答数据集
+pretty_name: Synthetic Spatial Visual Language Question Answering Dataset
 size_categories:
 - 1K<n<100K
 ---
 
-# 合成空间视觉语言问答数据集
+# Synthetic Spatial Visual Language Question Answering Dataset
 
-自动从Blender场景数据集生成。每个示例包含一张图片和一个问答对，用于探测**度量**（数值）和**关系**（真/假）空间推理技能。
+Automatically generated from the Blender Scene Dataset. Each example contains an image and a question-answer pair to probe **metric** (numeric) and **relation** (true/false) spatial reasoning skills.
 
-* **图像**: 使用Blender渲染（1000个场景，每个5个随机基元，随机相机和光照）。
-* **元数据**: 对象名称、位置、缩放、颜色、材质标志。
-* **问题**: 每张图片10个，从手工制作的模板中抽取，涵盖：
-    * 欧几里得/水平/垂直距离查询
-    * 对象宽度查询
-    * 相对于相机的前/后谓词
+* **Images**: Rendered using Blender (1000 scenes, 5 random primitives each, random cameras and lighting).
 
-距离以Blender场景单位表示，四舍五入到1厘米精度。
+* **Metadata**: Object name, position, scale, color, material flags.
+* **Questions**: 10 per image, drawn from handcrafted templates, covering:
+* Euclidean/horizontal/vertical distance queries
+* Object width queries
+* Front/back predicates relative to the camera
 
-## 字段
-| 字段    | 类型    | 描述                                 |
+Distances are in Blender scene units, rounded to 1 cm precision.
+
+## Fields
+| Field | Type | Description |
 |---------|---------|-------------------------------------|
-| image   | image   | 渲染的场景                           |
-| question| string  | 自然语言查询                         |
-| answer  | string  | 真实答案                             |
+| image | image | rendered scene |
+| question| string | natural language query |
+| answer | string | ground truth answer |
 
-## 引用
+## Quotes
 ```
 @misc{synthetic_spatialvlm_qa,
-  title  = {合成空间视觉语言问答数据集},
-  author = {<您的姓名>},
-  year   = 2025,
-  url    = {https://huggingface.co/datasets/Litian2002/spatialvlm_qa}
+title = {Synthetic Spatial Vision-Language Question Answering Dataset},
+author = {<your name>},
+year = 2025,
+url = {https://huggingface.co/datasets/Litian2002/spatialvlm_qa}
 }
-```
+```