Improve dataset card: Add paper and code links

README.md

@@ -1,12 +1,12 @@
 ---
-license: mit
 language:
 - en
-pretty_name: STAR
+license: mit
 size_categories:
 - 100M<n<1B
 task_categories:
 - image-to-image
+pretty_name: STAR
 tags:
 - astronomy
 - super-resolution
@@ -23,6 +23,8 @@ configs:
 
 # STAR Dataset (Super-Resolution for Astronomical Star Fields)
 
+[Paper](https://huggingface.co/papers/2507.16385) | [Code](https://github.com/GuoCheng12/STAR)
+
 The **STAR** dataset is a large-scale benchmark for developing field-level super-resolution models in astronomy. It contains **54,738 flux-consistent image pairs** derived from Hubble Space Telescope (HST) high-resolution observations and physically faithful low-resolution counterparts.
 
 ## 🌟 Key Features
@@ -97,10 +99,10 @@ Each `.npy` file contains a dictionary with the following structure:
 ### Data Fields Explanation
 
 | Field | Description | Type | Usage |
-|-------|-------------|------|-------|
-| `image` | Raw astronomical observation data | `np.ndarray` (float32) | Main input for super-resolution |
-| `mask` | Valid pixel indicator | `np.ndarray` (bool) | Identifies accessible regions (True = valid) |
-| `attn_map` | Star finder output | `np.ndarray` (float32) | Highlights detected astronomical sources (stars, galaxies) |
+|-------|-------------|------|-------|\
+| `image` | Raw astronomical observation data | `np.ndarray` (float32) | Main input for super-resolution |\
+| `mask` | Valid pixel indicator | `np.ndarray` (bool) | Identifies accessible regions (True = valid) |\
+| `attn_map` | Star finder output | `np.ndarray` (float32) | Highlights detected astronomical sources (stars, galaxies) |\
 | `coord` | Spatial coordinates | `np.ndarray` | Position information for patch alignment |
 
 ## 💻 Usage Examples