Update README.md

README.md

@@ -24,11 +24,36 @@ dataset_info:
           '14': urban residential
   splits:
   - name: train
-    num_bytes: 1777210275.0
+    num_bytes: 1777210275
     num_examples: 30000
   download_size: 1263253291
-  dataset_size: 1777210275.0
+  dataset_size: 1777210275
+license: other
+task_categories:
+- image-classification
+- zero-shot-image-classification
 ---
 # Dataset Card for "GID"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+- **Paper** [Land-cover classification with high-resolution remote sensing images using transferable deep models](https://www.sciencedirect.com/science/article/pii/S0034425719303414)
+- 
+### Licensing Information
+
+Public domain.
+
+## Citation Information
+
+[Land-cover classification with high-resolution remote sensing images using transferable deep models](https://www.sciencedirect.com/science/article/pii/S0034425719303414)
+
+```
+@article{GID2020,
+  title        = {Land-cover classification with high-resolution remote sensing images using transferable deep models},
+  author       = {Tong, Xin-Yi and Xia, Gui-Song and Lu, Qikai and Shen, Huanfeng and Li, Shengyang and You, Shucheng and Zhang, Liangpei},
+  year         = 2020,
+  journal      = {Remote Sensing of Environment},
+  volume       = 237,
+  pages        = 111322
+}
+```