Update README.md

README.md

@@ -37,4 +37,69 @@ license: cc-by-nc-nd-4.0
 ---
 
 license: cc-by-nc-nd-4.0
----
+---
+
+# BATIS: Benchmarking Bayesian Approaches for Improving Species Distribution Models
+
+This repository contains the dataset used in experiments shown in BATIS: Benchmarking Bayesian Approaches for Improving Species Distribution Models (preprint).
+
+## Dataset Configurations and Splits
+
+The dataset contains the following four configurations :
+
+- **Kenya :** Containing the data used to train our models for predicting bird species distribution in Kenya.
+- **South Africa :** Containing the data used to train our models for predicting bird species distribution in South Africa.
+- **USA-Winter :** Containing the data used to train our models for predicting bird species distribution in the United States of America during the winter season.
+  **USA-Summer :** Containing the data used to train our models for predicting bird species distribution in the United States of America during the summer season.
+
+Each subset can be further divided into `train`, `test` and `split`. These splits are the same as the one we used in our paper, and were generated by following the pre-processing pipeline described in our paper, which can be easily reproduced by re-using our [https://github.com/cath34/batis_benchmark_neurips_2025/blob/main/Splits/combined_script.py](code). 
+
+## Dataset Structure
+
+```
+/batis_benchmark_2025/
+    Kenya/
+        images.tar.gz
+        environmental.tar.gz
+        targets.tar.gz
+        species_list.csv
+        train_filtered.csv
+        test_filtered.csv
+        valid_filtered.csv
+    South Africa/
+        images.tar.gz
+        environmental.tar.gz
+        targets.tar.gz
+        species_list.csv
+        train_filtered.csv
+        test_filtered.csv
+        valid_filtered.csv
+    USA-Winter/
+        images/
+          images_{aa}
+          ...
+          images_{ad}
+          
+        environmental.tar.gz
+        targets.tar.gz
+        species_list.csv
+        train_filtered.csv
+        test_filtered.csv
+        valid_filtered.csv
+    USA-Summer/
+        images.tar.gz
+        environmental.tar.gz
+        targets.tar.gz
+        species_list.csv
+        train_filtered.csv
+        test_filtered.csv
+        valid_filtered.csv
+
+```
+
+## Data Fields
+
+## Authors 
+
+## Acknowledgments  
+