updated README file structure with new data and how to load

README.md

@@ -167,10 +167,22 @@ Leaderboard is available on the [Codabench Challenge page](https://www.codabench
         ...
         scalebar_<scalebarid k>.png
     data/
+        seen-00000-of-00006.parquet
+        ...
+        seen-00005-of-00006.parquet
+        seen_challenge-00000-of-00007.parquet
+        ...
+        seen_challenge-00006-of-00007.parquet
         train-00000-of-00029.parquet
         train-00001-of-00029.parquet
         ...
         train-00028-of-00029.parquet
+        unseen-00000-of-00003.parquet
+        ...
+        unseen-00002-of-00003.parquet
+        unseen_challenge-00000-of-00003.parquet
+        ...
+        unseen_challenge-00002-of-00003.parquet
         validation-00000-of-00004.parquet
         ...
         validation-00003-of-00004.parquet
@@ -179,7 +191,11 @@ Leaderboard is available on the [Codabench Challenge page](https://www.codabench
         <img_id 2>.png
         ...
         <img_id n>.png
+    seen_domain.csv
+    seen_domain_challenge.csv
     train.csv
+    unseen_domain.csv
+    unseen_domain_challenge.csv
     val.csv
 ```
 
@@ -227,13 +243,33 @@ All domains were split into two sets: one for out-of-distribution (OOD) testing
 #### Training v. Testing (ID)
 All domains contain up to three sites where collection events of beetles took place. Each collection event is defined by when it took place (`collectDate`) and where (`siteID`). All ID domains were split based on their sites into training and testing (ID). If a domain only contained one site, then all events from that site were placed in training. If a domain contained more than one, then one site was held out for testing (ID) and all others were placed in training.
 
-#### Training v. Validation
-During our preliminary experiments we extract a validation set out of the training set for early stopping in training. This split is what is made publicly available in the `train.csv` and `val.csv` files for training and validation respectively.
+##### Loading Development Phase Data
+Development files for training and validation can be loaded with:
 
-#### Initial phase v. Challenge phase
+```
+training = load_dataset("imageomics/sentinel-beetles", split="train")
+validation = load_dataset("imageomics/sentinel-beetles", split="validation")
+```
 
+#### Initial phase (Private Validation) v. Challenge phase (Final Challenge)
 The testing sets currently contain two subsets: an ID set (images from sites whose domain was seen in training), and an OOD set which has images from domains unique to the test set. Both the ID and OOD sets were split in half for the two phases of our competition. The initial (development) phase of the competition will evaluate all submitted models on one half only. These will be represented by the private files `seen_domain.csv` and `unseen_domain.csv` for ID and OOD, respectively. Around the end of the competition, we will also evaluate all submitted models on the other half, which is contained in the private files `seen_domain_challenge.csv` and `seen_domain_challenge.csv`.
 
+##### Loading Intial Phase Data
+Files used for validation during the intial phase of the challenge for seen domains and unseen domains from those available in the development files can be loaded with: 
+
+```
+seen_initial = load_dataset("imageomics/sentinel-beetles", split="seen")
+unseen_initial = load_dataset("imageomics/sentinel-beetles", split="unseen")
+```
+
+##### Loading Challenge Phase Data
+Files used for final evaluation during the challenge phase for seen domains and unseen domains from those available in the development files can be loaded with:
+
+```
+seen_challenge = load_dataset("imageomics/sentinel-beetles", split="seen_challenge")
+unseen_challenge = load_dataset("imageomics/sentinel-beetles", split="unseen_challenge")
+```
+
 The most metadata will be provided for the training dataset; `siteID`, `collectDate` and the target variables values will be redacted for the challenge dataset. Only images and unredacted metadata will be provided. The challenge will be to recover the target variable values for given collections of beetle images from given site-date combinations. All data will be released at the end of the challenge.
 
 ## Dataset Creation