feat: Add school_notebooks_EN dataset

dataset_infos.json

@@ -0,0 +1,14 @@
+{
+    "default": {
+        "description": "Dataset of school notebooks in English",
+        "features": {
+            "image": {"decode": true, "id": null, "_type": "Image"}
+        },
+        "splits": {"test": {
+            "name": "train",
+            "num_bytes": 15374,
+            "num_examples": 90,
+            "dataset_name": "images"
+        }}
+    }
+}

images.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:295ab37246a1ec976f50019ab77b3bb35543b0cdcbd2b825a7949c4959448a75
+size 356400252

school_notebooks_EN.py

@@ -0,0 +1,36 @@
+import os
+import datasets
+
+
+class FixturesOCR(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            features=datasets.Features(
+                {
+                    "image": datasets.Image(),
+                }
+            )
+        )
+
+    def _split_generators(self, dl_manager):
+        DL_URLS = [
+            "https://huggingface.co/datasets/sberbank-ai/school_notebooks_EN/resolve/main/images.zip"
+        ]
+        data_files = dl_manager.download_and_extract(DL_URLS)
+
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "image_paths": dl_manager.iter_files(data_files),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, image_paths):
+        """Generate examples."""
+        for idx, image_path in enumerate(image_paths):
+            example = {
+                "image": image_path,
+            }
+            yield idx, example