add dataset builder script

handwriting_dataset.py

@@ -0,0 +1,40 @@
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+_DESCRIPTION = """
+Georgian language handwriting dataset!
+"""
+_URL = 'https://huggingface.co/datasets/AnaChikashua/handwriting/resolve/main/handwriting_dataset.rar'
+class HandwritingData(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features = datasets.Features(
+            {"alphabet": datasets.Value("string"),
+             "image": datasets.Image()
+             }
+            ),
+            supervised_keys = None,
+            homepage = "https://huggingface.co/datasets/AnaChikashua/handwriting",
+        )
+    def _split_generators(self, dl_manager):
+        path = dl_manager.dowload(_URL)
+        image_iters = dl_manager.iter_archive(path)
+        return [
+            datasets.SplitGenerator(
+            name = datasets.Split.TRAIN,
+            gen_kwargs = {"images": image_iters}
+            ),
+        ]
+    def _generate_examples(self, images):
+        """This function returns the examples in the raw (text) form."""
+        idx = 0
+        # Iterate through images
+        for filepath, image in images:
+            # extract the text from the filename
+            text = filepath.split("/")[-1].split(".")[0]
+            yield idx, {
+                "alphabet": text,
+                "image": {"path": filepath, "bytes": image.read()}
+            }
+            idx += 1