Update README.md

README.md

@@ -55,8 +55,42 @@ dataset_info:
     num_bytes: 6391954899.475747
     num_examples: 3963
   download_size: 16974411052
-  dataset_size: 31722677003.0
+  dataset_size: 31722677003
+license: other
+task_categories:
+- image-classification
+tags:
+- map
+- poverty
+- satellite
+size_categories:
+- 10K<n<100K
 ---
-# Dataset Card for "PovertyMap"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# PovertyMap-wilds: Poverty mapping across different countries
+
+**Homepage**: https://github.com/sustainlab-group/africa_poverty \
+**Publication Date**: 2020-05-22 \
+**License**: LandSat/DMSP/VIIRS data is U.S. Public Domain. \
+**Citation**:
+```bibtex
+@article{yeh2020using,
+  author = {Yeh, Christopher and Perez, Anthony and Driscoll, Anne and Azzari, George and Tang, Zhongyi and Lobell, David and Ermon, Stefano and Burke, Marshall},
+  day = {22},
+  doi = {10.1038/s41467-020-16185-w},
+  issn = {2041-1723},
+  journal = {Nature Communications},
+  month = {5},
+  number = {1},
+  title = {{Using publicly available satellite imagery and deep learning to understand economic well-being in Africa}},
+  url = {https://www.nature.com/articles/s41467-020-16185-w},
+  volume = {11},
+  year = {2020}
+}
+```
+
+## Description
+
+This is a processed version of LandSat 5/7/8 satellite imagery originally from Google Earth Engine under the names `LANDSAT/LC08/C01/T1_SR`,`LANDSAT/LE07/C01/T1_SR`,`LANDSAT/LT05/C01/T1_SR`,
+nighttime light imagery from the DMSP and VIIRS satellites (Google Earth Engine names `NOAA/DMSP-OLS/CALIBRATED_LIGHTS_V4` and `NOAA/VIIRS/DNB/MONTHLY_V1/VCMSLCFG`)
+and processed DHS survey metadata obtained from https://github.com/sustainlab-group/africa_poverty and originally from `https://dhsprogram.com/data/available-datasets.cfm`.