Delete loading script

eurosat.py

@@ -1,58 +0,0 @@
-import datasets
-from datasets.data_files import DataFilesDict
-from datasets.packaged_modules.imagefolder.imagefolder import ImageFolder, ImageFolderConfig
-
-logger = datasets.logging.get_logger(__name__)
-
-
-class EuroSAT(ImageFolder):
-    R"""
-    EuroSAT dataset for image classification.
-    """
-
-    BUILDER_CONFIG_CLASS = ImageFolderConfig
-    BUILDER_CONFIGS = [
-        ImageFolderConfig(
-            name="default",
-            features=("images", "labels"),
-            data_files=DataFilesDict(
-                {
-                    split: f"data/{split}.zip"
-                    for split in ["train", "test"]
-                    + ["contrast", "gaussian_noise", "impulse_noise", "jpeg_compression", "motion_blur", "pixelate", "spatter"]
-                }
-            ),
-        )
-    ]
-
-    classnames = [
-        "annual crop land",
-        "forest",
-        "brushland or shrubland",
-        "highway or road",
-        "industrial buildings or commercial buildings",
-        "pasture land",
-        "permanent crop land",
-        "residential buildings or homes or apartments",
-        "river",
-        "lake or sea",
-    ]
-
-    clip_templates = [
-        lambda c: f"a centered satellite photo of {c}.",
-        lambda c: f"a centered satellite photo of a {c}.",
-        lambda c: f"a centered satellite photo of the {c}.",
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description="EuroSAT dataset for image classification.",
-            features=datasets.Features(
-                {
-                    "image": datasets.Image(),
-                    "label": datasets.ClassLabel(names=self.classnames),
-                }
-            ),
-            supervised_keys=("image", "label"),
-            task_templates=[datasets.ImageClassification(image_column="image", label_column="label")],
-        )