Initial Update of Dataset Card

README.md

@@ -1,3 +1,43 @@
----
-license: mit
----
+---
+license: mit
+---
+# Continually Adapt or Not (CAN) Benchmark
+
+The **CAN Benchmark** is a curated ICICLE benchmark designed to evaluate the performance of pre-trained models and support the development of adaptation algorithms in the camera trap domain. By providing a structured, temporally-split dataset, CAN enables research on continual adaptation, domain shifts, and long-term model robustness.
+
+## Dataset Structure
+
+The dataset consists of two primary components:
+
+1. **images/**:  
+   Contains all raw images from the camera trap dataset (CDB-D06).
+
+2. **30/**:  
+   Contains JSON files that divide the dataset into **30-day intervals** to support continual learning evaluation:  
+   - `train.json`: Training data split by 30-day intervals  
+   - `train-all.json`: All training data combined  
+   - `test.json`: Test data split by 30-day intervals  
+
+This setup allows researchers to simulate real-world temporal data streams in camera trap applications.
+
+## How to Use
+
+Clone or download the dataset using:
+
+```bash
+git lfs install
+git clone https://huggingface.co/datasets/ICICLE-AI/CAN_Benchmark
+
+# Unzip the provided archive
+unzip CAN_Benchmark/CDB_D06.zip -d CAN_Benchmark/data
+```
+You will get the following structure:
+```
+CAN_Benchmark/
+├── data/
+│   ├── images/
+│   └── 30/
+│       ├── train.json
+│       ├── train-all.json
+│       └── test.json
+```