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 # ReefNet Dataset
 
-The ReefNet dataset is a comprehensive collection of annotated coral images designed for training and evaluating machine learning models in the field of corals. This dataset provides a rich source of information to aid in the classification and study of corals across different geographic regions.
+The ReefNet dataset is a comprehensive, curated collection of (annotated) coral reef images sourced from the CoralNet platform.
+The ReefNet dataset is designed for training and evaluating machine learning models for coral classification on a global scale.
+Furthermore, ReefNet's consolidated labelset and rich metadata facilitate straigforward extraction of custom datasets to support coral classification tasks across different geographic regions.
 
 ## Dataset Structure
 
 The dataset is organized as follows:
 
-- `ReefNet_CN_annotations.csv` (714 MB)
-  - Contains the annotations for the CoralNet data sources used in ReefNet.
+- `All_ReefNet_annotations.csv` (2.98 GB)
+  - Contains the all annotations available in the main ReefNet dataset, together with the associated metadata.
+ 
+- `Metadata_All_ReefNet_annotations.xlsx` (11 KB)
+  - Contains metadata for the `All_ReefNet_annotations.csv` file, describing the meaning of the column names.
   
-- `ReefNet_RSG_annotations.csv` (2.42 MB)
-  - Contains the annotations for the ReefNet dataset with genus and species-level labels.
+- `ReefNet_RSG-TestDataset_annotations.csv` (2.42 MB)
+  - Contains the annotations of the Red Sea Global (RSG) test dataset. This newly released dataset is used in experiment 2 of the main paper as the test dataset.
+    This dataset was collected by Red Sea Global (RSG) in the Al-Wajh lagoon in the Red Sea (26.4°N, 36.4°E) in 2022 and was previously stored as a private source within CoralNet.
   
-- `ReefNet_RSG_images.zip` (1.21 GB)
-  - This file contains the majority of the training and validation images. Due to its large size, it is hosted on Google Drive.
+- `ReefNet_RSG-TestDataset_images.zip` (1.21 GB)
+  - Contains the annotations of the Red Sea Global (RSG) test dataset. This newly released dataset is used in experiment 2 of the main paper as the test dataset.
+    This dataset was collected by Red Sea Global (RSG) in the Al-Wajh lagoon in the Red Sea (26.4°N, 36.4°E) in 2022 and was previously stored as a private source within CoralNet.
 
-- `Supplementary Materials 1 CoralNet sources used in ReefNet.xlsx` (16.8 KB)
-  - Details the CoralNet sources used in the ReefNet dataset.
+- `Metadata_ReefNet_by_CoralNet_sources.xlsx` (33 KB)
+  - Provides an overview of the CoralNet sources the ReefNet dataset was compiled from, including attribution to the original creators and metadata such as the Geographic location or average image resolution. 
   
-- `Supplementary Materials 2 ReefNet dataset structure.xlsx` (49.5 KB)
-  - Provides an overview of the dataset structure.
+- `ReefNet_labelmapping.xlsx` (79 KB)
+  - Provides an overview of the labelset mapping that was performed to consolidate the ReefNet dataset from the separate CoralNet sources.
   
-- `Supplementary Materials 3 ReefNet Training and Validation data distribution.xlsx` (32.7 KB)
-  - Describes the distribution of training and validation data in the ReefNet dataset.
+- `ReefNet_RSG-TestDataset_labelmapping.xlsx` (33 KB)
+  - Provides an overview of the labelset mapping that was performed for experiment 2 in the main paper to merge labels from the main ReefNet dataset to the RSG-TestDataset.
 
 ## Download Instructions