diff --git a/deepinv_bench/benchmarks/nbu_pansharpening/datasets/nbu.py b/deepinv_bench/benchmarks/nbu_pansharpening/datasets/nbu.py
new file mode 100644
index 0000000..799cedd
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+++ b/deepinv_bench/benchmarks/nbu_pansharpening/datasets/nbu.py
@@ -0,0 +1,48 @@
+import deepinv as dinv
+from benchopt import BaseDataset
+from benchopt.config import get_data_path
+from torchvision import transforms
+
+
+class Dataset(BaseDataset):
+    name = "NBUDataset"
+
+    parameters = {
+        "physics": ["Pansharpening"],
+        "noise": ["ZeroNoise"],
+        "img_size": [256],
+        "factor": [4],
+        "return_pan": [False],
+        "satellite": ["gaofen-1"], # 4 channels dataset
+    }
+
+    test_parameters = {"debug": [True]}
+
+    def get_data(self):
+        root = get_data_path("NBUDataset")
+
+        transform = transforms.Compose(
+            [
+                transforms.Resize((self.img_size, self.img_size)),
+                transforms.ToTensor(),
+            ]
+        )
+
+        dataset = dinv.datasets.NBUDataset(
+            root_dir=root,
+            satellite=self.satellite,
+            return_pan=self.return_pan,
+            download=True,
+            transform_ms=transform,
+        )
+
+        physics = dinv.physics.Downsampling(
+            filter='bilinear',
+            factor=4,
+            img_size=(4, self.img_size, self.img_size),
+        )
+
+        return {
+            "dataset": dataset,
+            "physics": physics,
+        }
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