Update README.md

README.md

@@ -41,7 +41,20 @@ license: cc-by-nc-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).
+This repository contains the dataset used in experiments shown in BATIS: Benchmarking Bayesian Approaches for Improving Species Distribution Models (preprint). To download the dataset, you can use the `load_dataset` function from HuggingFace. For example :
+
+```python
+from datasets import load_dataset
+
+# Training Split for Kenya
+dorsal_dataset = load_dataset("cathv/batis_benchmark_2025", name="Kenya", split="train")
+
+# Validation Split for South Africa
+ventral_dataset = load_dataset("cathv/batis_benchmark_2025", name="South_Africa", split="val")
+
+# Test Split for USA-Summer
+combined_dataset = load_dataset("cathv/batis_benchmark_2025", name="USA_Summer", split="test")
+```
 
 ## Dataset Configurations and Splits
 
@@ -62,19 +75,17 @@ Each subset can be further divided into `train`, `test` and `split`. These split
         images.tar.gz
         environmental.tar.gz
         targets.tar.gz
-        species_list.csv
         train_filtered.csv
         test_filtered.csv
         valid_filtered.csv
-    South Africa/
+    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/
+    USA_Winter/
         images/
           images_{aa}
           ...
@@ -82,22 +93,28 @@ Each subset can be further divided into `train`, `test` and `split`. These split
           
         environmental.tar.gz
         targets.tar.gz
-        species_list.csv
         train_filtered.csv
         test_filtered.csv
         valid_filtered.csv
-    USA-Summer/
+    USA_Summer/
+        images/
+            images_{aa}
+            ...
+            images_{af}
         images.tar.gz
         environmental.tar.gz
         targets.tar.gz
-        species_list.csv
         train_filtered.csv
         test_filtered.csv
         valid_filtered.csv
+    Species_ID/
+        species_list_kenya.csv
+        species_list_south_africa.csv
+        species_list_usa.csv
 
 ```
 
-The files `train_filtered.csv`, `test_filtered.csv` and `valid_filtered.csv` are containing the informations one can see from the Dataset Viewer. The archives `targets`, `images`, `environmental` are respectively containing the target vectors (i.e., the estimated ground truth encounter rate probability).
+The files `train_filtered.csv`, `test_filtered.csv` and `valid_filtered.csv` are containing the informations one can see from the Dataset Viewer. The archives `targets`, `images`, `environmental` are respectively containing the target vectors (i.e., the estimated ground truth encounter rate probability). The `Species_ID/` folder contains the species list files for each subset. 
 
 
 ## Data Fields