Update README.md

README.md

@@ -1,27 +1,47 @@
 ---
 license: cc0-1.0
 task_categories:
-  - depth-estimation
-  - image-to-image
+- depth-estimation
+- image-to-image
 language:
-  - en
+- en
 pretty_name: MCTED
 size_categories:
-  - 100K<n<1M
+- 10K<n<100K
 tags:
-  - Mars
-  - remote-sensing
-  - image
-  - depth-estimation
-  - DEM
+- Mars
+- remote-sensing
+- image
+- depth-estimation
+- DEM
 dataset_info:
-  config_name: MCTED
+  config_name: default
   dataset_size: 116710502400
   splits:
-    - name: train
-      num_bytes: 93757337600
-      num_examples: 65090
-    - name: validation
-      num_bytes: 22953164800
-      num_examples: 15808
----
+  - name: train
+    num_bytes: 93757337600
+    num_examples: 65090
+  - name: validation
+    num_bytes: 22953164800
+    num_examples: 15808
+---
+
+# MCTED - Mars CTX Terrain-Elevation Dataset
+
+## Overview
+**MCTED** is a machine-learning-ready dataset of optical images of the surface of Mars, paired with their corresponding digital elevation models.
+It was created using an extensive repository of orthoimage-DEM pairs with the NASA Ames Stereo Pipeline using the Mars Reconneissance Orbiter's CTX instrument imagery by
+[Day et al. 2023](https://github.com/GALE-Lab/Mars_DEMs).
+
+This dataset is fully open-source, with all data and code used for it's generation available publicly.
+
+[**Dataset repository**]() | [**arXiv**]()
+
+## Dataset contents
+The dataset contains in total **80898** samples, divided into two splits:
+|Training|Validation|
+|---|---|
+|65090|15808|
+
+Each sample consists of 4 different files:
+|