Add paper link and correct license

This PR adds a link to the paper in the main content section of the README. It also corrects the license to Apache 2.0 to match the Github README.

README.md

@@ -1,97 +1,94 @@
----
-pretty_name: ScanBot
-license: cc-by-4.0
-language:
-  - en
-tags:
-  - robotics
-  - instruction-following
-  - vision-language
-  - laser-scanning
-  - multimodal
-task_categories:
-  - robotics
-dataset_info:
-  features:
-    - name: wrist_camera
-      dtype: image
-    - name: rgb_gopro
-      dtype: image   
-    - name: instruction
-      dtype: string
-    - name: tcp_pose
-      dtype: string
-    - name: joint_states
-      dtype: string
-# data_files:
-#   - path: train/train.jsonl
----
-
-
-[![Project Page](https://img.shields.io/badge/Project%20Page-ScanBot-blue.svg)](https://ed1sonchen.github.io/ScanBot/) 
-
-
-# ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems
-
-<img src="Figures/introduction.png" alt="ScanBot" width="100%"/>
-
-
-## 🧠 Dataset Summary
-**ScanBot** is a dataset for instruction-conditioned, high-precision surface scanning with robots. Unlike existing datasets that focus on coarse tasks like grasping or navigation, ScanBot targets industrial laser scanning, where sub-millimeter accuracy and parameter stability are essential. It includes scanning trajectories across 12 objects and 6 task types, each driven by natural language instructions. The dataset provides synchronized RGB, depth, laser profiles, robot poses, and joint states.
-
-
-## 📦 Use Cases
-
-- Vision-Language Action (VLA)
-- Instruction-Guided Surface Scanning
-- 3D Surface Reconstruction
-- Spatial Reasoning and Feature Localization
-- Laser Profile Analysis for Inspection Tasks
-
-
-
-## 🗂️ Data Description
-```
-scanbot/
-├── cube1/
-│   ├── top_surface/
-│   │   ├── path_001/
-│   │   │   ├── rgb/
-│   │   │   │   └── ...
-│   │   │   ├── depth/
-│   │   │   │   └── ...
-|   |   |   |── 1746226187.997976_gopro.mp4  
-│   │   │   ├── robot_joint_states.csv
-│   │   │   ├── robot_tcp_poses.csv
-│   │   │   └── metadata.json
-│   │   ├── path_002/
-│   │   │   └── ...
-├── cube2
-├── cylinder_red
-├── cylinder_white
-└── ...
-```
-
-## 💬 Task Levels
-
-Each scan is driven by an instruction that falls under one of the following task categories:
-
-| Task Type | Description |
-|-----------|-------------|
-| T1        | Surface Scan |
-| T2        | Geometry Focus |
-| T3        | Spatial Reference |
-| T4        | Functional Target |
-| T5        | Defect Inspection |
-| T6        | Comparative Analysis |
-
-## 🛠️ Hardware Setup
-
-<img src="Figures/setup.png" alt="ScanBot Example" width="30%"/>
-
-## 📖 Version Update
-
-### Version 1.0
-The initial version of ScanBot contains 197 tasks, and involves 12 different objects.
-
-
+---
+language:
+- en
+license: apache-2.0
+task_categories:
+- robotics
+pretty_name: ScanBot
+tags:
+- robotics
+- instruction-following
+- vision-language
+- laser-scanning
+- multimodal
+dataset_info:
+  features:
+  - name: wrist_camera
+    dtype: image
+  - name: rgb_gopro
+    dtype: image
+  - name: instruction
+    dtype: string
+  - name: tcp_pose
+    dtype: string
+  - name: joint_states
+    dtype: string
+---
+
+[![Project Page](https://img.shields.io/badge/Project%20Page-ScanBot-blue.svg)](https://ed1sonchen.github.io/ScanBot/) 
+
+
+# ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems
+
+<img src="Figures/introduction.png" alt="ScanBot" width="100%"/>
+
+This dataset is presented in the paper [ScanBot: Towards Intelligent Surface Scanning in Embodied Robotic Systems](https://huggingface.co/papers/2505.17295).
+
+
+## 🧠 Dataset Summary
+**ScanBot** is a dataset for instruction-conditioned, high-precision surface scanning with robots. Unlike existing datasets that focus on coarse tasks like grasping or navigation, ScanBot targets industrial laser scanning, where sub-millimeter accuracy and parameter stability are essential. It includes scanning trajectories across 12 objects and 6 task types, each driven by natural language instructions. The dataset provides synchronized RGB, depth, laser profiles, robot poses, and joint states.
+
+
+## 📦 Use Cases
+
+- Vision-Language Action (VLA)
+- Instruction-Guided Surface Scanning
+- 3D Surface Reconstruction
+- Spatial Reasoning and Feature Localization
+- Laser Profile Analysis for Inspection Tasks
+
+
+
+## 🗂️ Data Description
+```
+scanbot/
+├── cube1/
+│   ├── top_surface/
+│   │   ├── path_001/
+│   │   │   ├── rgb/
+│   │   │   │   └── ...
+│   │   │   ├── depth/
+│   │   │   │   └── ...
+|   |   |   |── 1746226187.997976_gopro.mp4  
+│   │   │   ├── robot_joint_states.csv
+│   │   │   ├── robot_tcp_poses.csv
+│   │   │   └── metadata.json
+│   │   ├── path_002/
+│   │   │   └── ...
+├── cube2
+├── cylinder_red
+├── cylinder_white
+└── ...
+```
+
+## 💬 Task Levels
+
+Each scan is driven by an instruction that falls under one of the following task categories:
+
+| Task Type | Description |
+|-----------|-------------|
+| T1        | Surface Scan |
+| T2        | Geometry Focus |
+| T3        | Spatial Reference |
+| T4        | Functional Target |
+| T5        | Defect Inspection |
+| T6        | Comparative Analysis |
+
+## 🛠️ Hardware Setup
+
+<img src="Figures/setup.png" alt="ScanBot Example" width="30%"/>
+
+## 📖 Version Update
+
+### Version 1.0
+The initial version of ScanBot contains 197 tasks, and involves 12 different objects.