Upload imagetest.py

imagetest.py

@@ -0,0 +1,49 @@
+import datasets
+
+
+_CITATION = ""
+
+_DESCRIPTION = "Dataset for training agents with Maze-v0 environment."
+
+_HOMEPAGE = "https://huggingface.co/datasets/NathanGavenski/imagetest"
+
+_LICENSE = ""
+
+_REPO = "https://huggingface.co/datasets/NathanGavenski/imagetest"
+
+
+class ImageSet(datasets.GeneratorBasedBuilder):
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features({
+                "obs": datasets.Value("string"),
+                "actions": datasets.Value("int32"),
+                "rewards": datasets.Value("float32"),
+                "episode_starts": datasets.Value("bool"),
+                "maze": datasets.Value("string"),
+                "image": datasets.Image()
+            }),
+            supervised_keys=None,
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _make_split_generators(self, dl_manager):
+        image_archive = dl_manager.download(f"{_REPO}/resolve/main/images.tar.gz")
+        image_iter = dl_manager.iter_archive(image_archive)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "images": image_iter
+                }
+            ),
+        ]
+
+    def _generate_examples(self, images):
+        for idx, (filepath, image) in enumerate(images):
+            yield idx, {
+                "image": {"path": filepath, "bytes": image.read()},
+            }