EuroSAT: redistribute split files on Hugging Face (#2432)

Author: adamjstewart

tests/data/eurosat/EuroSAT100.zip

@@ -0,0 +1,2 @@
+AnnualCrop_1.tif
+Forest_1.tif

tests/data/eurosat/eurosat-100-test.txt

@@ -0,0 +1,2 @@
+AnnualCrop_1.tif
+Forest_1.tif

tests/data/eurosat/eurosat-100-train.txt

@@ -0,0 +1,2 @@
+AnnualCrop_1.tif
+Forest_1.tif

tests/data/eurosat/eurosat-100-val.txt

@@ -0,0 +1,2 @@
+AnnualCrop_1.tif
+Forest_1.tif

tests/data/eurosat/eurosat-spatial-test.txt

@@ -0,0 +1,2 @@
+AnnualCrop_1.tif
+Forest_1.tif

tests/data/eurosat/eurosat-spatial-train.txt

@@ -0,0 +1,2 @@
+AnnualCrop_1.tif
+Forest_1.tif

tests/data/eurosat/eurosat-spatial-val.txt

@@ -32,34 +32,10 @@ def dataset(
     ) -> EuroSAT:
         base_class: type[EuroSAT] = request.param[0]
         split: str = request.param[1]
-        md5 = 'aa051207b0547daba0ac6af57808d68e'
-        monkeypatch.setattr(base_class, 'md5', md5)
-        url = os.path.join('tests', 'data', 'eurosat', 'EuroSATallBands.zip')
+        url = os.path.join('tests', 'data', 'eurosat') + os.sep
         monkeypatch.setattr(base_class, 'url', url)
-        monkeypatch.setattr(base_class, 'filename', 'EuroSATallBands.zip')
-        monkeypatch.setattr(
-            base_class,
-            'split_urls',
-            {
-                'train': os.path.join('tests', 'data', 'eurosat', 'eurosat-train.txt'),
-                'val': os.path.join('tests', 'data', 'eurosat', 'eurosat-val.txt'),
-                'test': os.path.join('tests', 'data', 'eurosat', 'eurosat-test.txt'),
-            },
-        )
-        monkeypatch.setattr(
-            base_class,
-            'split_md5s',
-            {
-                'train': '4af60a00fdfdf8500572ae5360694b71',
-                'val': '4af60a00fdfdf8500572ae5360694b71',
-                'test': '4af60a00fdfdf8500572ae5360694b71',
-            },
-        )
-        root = tmp_path
         transforms = nn.Identity()
-        return base_class(
-            root=root, split=split, transforms=transforms, download=True, checksum=True
-        )
+        return base_class(tmp_path, split=split, transforms=transforms, download=True)
 
     def test_getitem(self, dataset: EuroSAT) -> None:
         x = dataset[0]
@@ -84,14 +60,14 @@ def test_add(self, dataset: EuroSAT) -> None:
         assert len(ds) == 4
 
     def test_already_downloaded(self, dataset: EuroSAT, tmp_path: Path) -> None:
-        EuroSAT(root=tmp_path, download=True)
+        type(dataset)(tmp_path)
 
     def test_already_downloaded_not_extracted(
         self, dataset: EuroSAT, tmp_path: Path
     ) -> None:
         shutil.rmtree(dataset.root)
-        shutil.copy(dataset.url, tmp_path)
-        EuroSAT(root=tmp_path, download=False)
+        shutil.copy(dataset.url + dataset.filename, tmp_path)
+        type(dataset)(tmp_path)
 
     def test_not_downloaded(self, tmp_path: Path) -> None:
         with pytest.raises(DatasetNotFoundError, match='Dataset not found'):
@@ -108,7 +84,7 @@ def test_plot(self, dataset: EuroSAT) -> None:
         plt.close()
 
     def test_plot_rgb(self, dataset: EuroSAT, tmp_path: Path) -> None:
-        dataset = EuroSAT(root=tmp_path, bands=('B03',))
+        dataset = type(dataset)(tmp_path, bands=('B03',))
         with pytest.raises(
             RGBBandsMissingError, match='Dataset does not contain some of the RGB bands'
         ):

tests/datasets/test_eurosat.py

@@ -54,7 +54,7 @@ class EuroSAT(NonGeoClassificationDataset):
     * https://ieeexplore.ieee.org/document/8519248
     """
 
-    url = 'https://hf.co/datasets/torchgeo/eurosat/resolve/06fd1b090bceecc0ce724cd21578ba7a6664fe8d/EuroSATallBands.zip'
+    url = 'https://hf.co/datasets/torchgeo/eurosat/resolve/1ce6f1bfb56db63fd91b6ecc466ea67f2509774c/'
     filename = 'EuroSATallBands.zip'
     md5 = '5ac12b3b2557aa56e1826e981e8e200e'
 
@@ -64,10 +64,10 @@ class EuroSAT(NonGeoClassificationDataset):
     )
 
     splits = ('train', 'val', 'test')
-    split_urls: ClassVar[dict[str, str]] = {
-        'train': 'https://storage.googleapis.com/remote_sensing_representations/eurosat-train.txt',
-        'val': 'https://storage.googleapis.com/remote_sensing_representations/eurosat-val.txt',
-        'test': 'https://storage.googleapis.com/remote_sensing_representations/eurosat-test.txt',
+    split_filenames: ClassVar[dict[str, str]] = {
+        'train': 'eurosat-train.txt',
+        'val': 'eurosat-val.txt',
+        'test': 'eurosat-test.txt',
     }
     split_md5s: ClassVar[dict[str, str]] = {
         'train': '908f142e73d6acdf3f482c5e80d851b1',
@@ -141,7 +141,7 @@ def __init__(
         self._verify()
 
         valid_fns = set()
-        with open(os.path.join(self.root, f'eurosat-{split}.txt')) as f:
+        with open(os.path.join(self.root, self.split_filenames[split])) as f:
             for fn in f:
                 valid_fns.add(fn.strip().replace('.jpg', '.tif'))
 
@@ -207,16 +207,12 @@ def _verify(self) -> None:
     def _download(self) -> None:
         """Download the dataset."""
         download_url(
-            self.url,
-            self.root,
-            filename=self.filename,
-            md5=self.md5 if self.checksum else None,
+            self.url + self.filename, self.root, md5=self.md5 if self.checksum else None
         )
         for split in self.splits:
             download_url(
-                self.split_urls[split],
+                self.url + self.split_filenames[split],
                 self.root,
-                filename=f'eurosat-{split}.txt',
                 md5=self.split_md5s[split] if self.checksum else None,
             )
 
@@ -305,10 +301,10 @@ class EuroSATSpatial(EuroSAT):
     .. versionadded:: 0.6
     """
 
-    split_urls: ClassVar[dict[str, str]] = {
-        'train': 'https://hf.co/datasets/torchgeo/eurosat/resolve/1c11c73a87b40b0485d103231a97829991b8e22f/eurosat-spatial-train.txt',
-        'val': 'https://hf.co/datasets/torchgeo/eurosat/resolve/1c11c73a87b40b0485d103231a97829991b8e22f/eurosat-spatial-val.txt',
-        'test': 'https://hf.co/datasets/torchgeo/eurosat/resolve/1c11c73a87b40b0485d103231a97829991b8e22f/eurosat-spatial-test.txt',
+    split_filenames: ClassVar[dict[str, str]] = {
+        'train': 'eurosat-spatial-train.txt',
+        'val': 'eurosat-spatial-val.txt',
+        'test': 'eurosat-spatial-test.txt',
     }
     split_md5s: ClassVar[dict[str, str]] = {
         'train': '7be3254be39f23ce4d4d144290c93292',
@@ -328,14 +324,13 @@ class EuroSAT100(EuroSAT):
     .. versionadded:: 0.5
     """
 
-    url = 'https://hf.co/datasets/torchgeo/eurosat/resolve/06fd1b090bceecc0ce724cd21578ba7a6664fe8d/EuroSAT100.zip'
     filename = 'EuroSAT100.zip'
     md5 = 'c21c649ba747e86eda813407ef17d596'
 
-    split_urls: ClassVar[dict[str, str]] = {
-        'train': 'https://hf.co/datasets/torchgeo/eurosat/resolve/06fd1b090bceecc0ce724cd21578ba7a6664fe8d/eurosat-train.txt',
-        'val': 'https://hf.co/datasets/torchgeo/eurosat/resolve/06fd1b090bceecc0ce724cd21578ba7a6664fe8d/eurosat-val.txt',
-        'test': 'https://hf.co/datasets/torchgeo/eurosat/resolve/06fd1b090bceecc0ce724cd21578ba7a6664fe8d/eurosat-test.txt',
+    split_filenames: ClassVar[dict[str, str]] = {
+        'train': 'eurosat-100-train.txt',
+        'val': 'eurosat-100-val.txt',
+        'test': 'eurosat-100-test.txt',
     }
     split_md5s: ClassVar[dict[str, str]] = {
         'train': '033d0c23e3a75e3fa79618b0e35fe1c7',