Create outlined-text-captcha.py

outlined-text-captcha.py

@@ -0,0 +1,51 @@
+import os
+from pathlib import Path
+import datasets
+
+_DESCRIPTION = """\
+Outlined Text Captcha Images.
+"""
+_LICENSE = "mit"
+_DATA_DIR = ""
+
+class Captcha(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                        "image": datasets.Image(),
+                        "solution": datasets.Value("string"),
+                }
+            ),
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "train.zip"))),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "validation.zip"))),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "test.zip"))),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, images):
+        for file_path, file_obj in images:
+            yield file_path, {
+                    "image": {"path": file_path, "bytes": file_obj.read()},
+                    "solution": Path(file_path).name.split('.')[0],
+                }