Upload movingthings.py

movingthings.py

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+import datasets
+from datasets.tasks import ImageClassification
+
+_HOMEPAGE = "https://github.com/Rivoks"
+_CITATION = """\
+@ONLINE {movingthings,
+    author="Rivoks",
+    title="Moving things dataset",
+    month="August",
+    year="2023",
+    url="https://github.com/Rivoks"
+}
+"""
+_DESCRIPTION = (
+    "MovingThings is a dataset of images of moving things programmaticaly generated "
+    "with Stable Diffusion (v1.5). It consists of 5 self movement classes: roll, flow, zigzag, walk, and linear. "
+    "Data was annotated by the script that generates the images with the prompt passed to Stable Diffusion."
+)
+_NAMES = ["roll", "flow", "zigzag", "walk", "linear"]
+
+class MovingThings(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.0.0")  # Update the version as needed
+
+    def _info(self):
+        features = datasets.Features(
+            {
+                "text": datasets.Value("string"),
+                "image": datasets.Image(),
+                "labels": datasets.ClassLabel(names=_NAMES),
+            }
+        )
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=features,
+            supervised_keys=("image", "labels"),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        # Define your data split logic here
+        pass
+
+# Task template outside of _info()
+MovingThingsTaskTemplate = ImageClassification(image_column="image", label_column="labels")