Improve dataset card: Add sample usage for data download and dataset description

README.md

@@ -1,13 +1,13 @@
 ---
 license: apache-2.0
 task_categories:
-  - depth-estimation
+- depth-estimation
 tags:
-  - depth-estimation
-  - panorama
-  - 360-depth
-  - 360-depth-estimation
-  - 360-image
+- depth-estimation
+- panorama
+- 360-depth
+- 360-depth-estimation
+- 360-image
 ---
 
 # DA<sup>2</sup>: Depth Anything in Any Direction
@@ -21,9 +21,31 @@ tags:
 
 ![teaser](assets/teaser.jpg)
 
-# 🎮 Usage
-Please see [here](https://github.com/EnVision-Research/DA-2?tab=readme-ov-file#-evaluation).
+## Dataset Description
+This dataset, `haodongli/DA-2`, provides approximately 607K high-quality panoramic RGB-depth pairs. These pairs were generated using a data curation engine that creates panoramic depth data from perspective images, as detailed in the associated paper [DA$^2$: Depth Anything in Any Direction](https://huggingface.co/papers/2509.26618).
 
+## 💾 Sample Usage: Downloading Evaluation Data
+
+To download the evaluation datasets used in the paper, which are hosted on Hugging Face:
+
+1.  Navigate to your desired data directory:
+    ```bash
+    cd [YOUR_DATA_DIR]
+    ```
+2.  Login to Hugging Face CLI (if you haven't already):
+    ```bash
+    huggingface-cli login
+    ```
+3.  Download the `haodongli/DA-2-Evaluation` dataset:
+    ```bash
+    hf download --repo-type dataset haodongli/DA-2-Evaluation --local-dir [YOUR_DATA_DIR]
+    ```
+4.  Unzip the downloaded datasets (e.g., `[DATA_NAME].tar.gz` like `scenet.tar.gz`):
+    ```bash
+    tar -zxvf [DATA_NAME].tar.gz
+    ```
+
+For full evaluation instructions and more details, please refer to the [GitHub repository's evaluation section](https://github.com/EnVision-Research/DA-2?tab=readme-ov-file#-evaluation).
 
 # 🎓 Citation
 
@@ -57,4 +79,4 @@ If you find these datasets useful, please consider citing 🌹:
   journal={arXiv preprint arXiv:1811.05304},
   year={2018}
 }
-```
+```