Update README.md

README.md

@@ -11,11 +11,47 @@ dataset_info:
           '1': undamaged buildings
   splits:
   - name: train
-    num_bytes: 25588780.0
+    num_bytes: 25588780
     num_examples: 10000
   download_size: 26998688
-  dataset_size: 25588780.0
+  dataset_size: 25588780
+license: cc-by-4.0
 ---
 # Dataset Card for "Satellite-Images-of-Hurricane-Damage"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Dataset Description
+
+- **Paper** [Deep learning based damage detection on post-hurricane satellite imagery](https://arxiv.org/pdf/1807.01688.pdf)
+- **Data** [IEEE-Dataport](https://ieee-dataport.org/open-access/detecting-damaged-buildings-post-hurricane-satellite-imagery-based-customized)
+- **Split** Train_another
+- **GitHub** [DamageDetection](https://github.com/qcao10/DamageDetection)
+
+## Split Information
+
+This HuggingFace dataset repository contains just the Train_another split. 
+
+### Licensing Information
+
+[CC BY 4.0](https://ieee-dataport.org/open-access/detecting-damaged-buildings-post-hurricane-satellite-imagery-based-customized)
+
+## Citation Information
+
+[Deep learning based damage detection on post-hurricane satellite imagery](https://arxiv.org/pdf/1807.01688.pdf)
+
+[IEEE-Dataport](https://ieee-dataport.org/open-access/detecting-damaged-buildings-post-hurricane-satellite-imagery-based-customized)
+```
+@misc{sdad-1e56-18,
+  title        = {Detecting Damaged Buildings on Post-Hurricane Satellite Imagery Based on Customized Convolutional Neural Networks},
+  author       = {Cao, Quoc Dung and Choe, Youngjun},
+  year         = 2018,
+  publisher    = {IEEE Dataport},
+  doi          = {10.21227/sdad-1e56},
+  url          = {https://dx.doi.org/10.21227/sdad-1e56}
+}
+@article{cao2018deep,
+  title={Deep learning based damage detection on post-hurricane satellite imagery},
+  author={Cao, Quoc Dung and Choe, Youngjun},
+  journal={arXiv preprint arXiv:1807.01688},
+  year={2018}
+}
+```