update readme

README.md

@@ -5,24 +5,25 @@ language:
 ---
 # Dataset Card for Visual Attributes in the Wild (VAW)
 
-## Dataset Description
+### Dataset Description
 
-- **Homepage:** http://vawdataset.com/
-- **Repository:** https://github.com/adobe-research/vaw_dataset;
-    Note: The raw dataset files will be downloaded from: https://github.com/adobe-research/vaw_dataset/tree/main/data, where one can also find additional metadata files such as attribute types. The train split loaded from this hf dataset is a concatenation of the train_part1.json and train_part2.json.
-- **Paper Citation:** 
-    ```
-    @InProceedings{Pham_2021_CVPR,
-        author    = {Pham, Khoi and Kafle, Kushal and Lin, Zhe and Ding, Zhihong and Cohen, Scott and Tran, Quan and Shrivastava, Abhinav},
-        title     = {Learning To Predict Visual Attributes in the Wild},
-        booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
-        month     = {June},
-        year      = {2021},
-        pages     = {13018-13028}
-    }
-    ```
-- **LICENSE:** https://github.com/adobe-research/vaw_dataset/blob/main/LICENSE.md
+**Homepage:** http://vawdataset.com/
 
+**Repository:** https://github.com/adobe-research/vaw_dataset; Note: The raw dataset files will be downloaded from: https://github.com/adobe-research/vaw_dataset/tree/main/data, where one can also find additional metadata files such as attribute types. The train split loaded from this hf dataset is a concatenation of the train_part1.json and train_part2.json.
+
+**LICENSE:** https://github.com/adobe-research/vaw_dataset/blob/main/LICENSE.md
+
+**Paper Citation:** 
+```
+@InProceedings{Pham_2021_CVPR,
+    author    = {Pham, Khoi and Kafle, Kushal and Lin, Zhe and Ding, Zhihong and Cohen, Scott and Tran, Quan and Shrivastava, Abhinav},
+    title     = {Learning To Predict Visual Attributes in the Wild},
+    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+    month     = {June},
+    year      = {2021},
+    pages     = {13018-13028}
+}
+```
 
 ### Dataset Summary
 A large scale visual attributes dataset with explicitly labelled positive and negative attributes.