Delete outlined-text-captcha.py

outlined-text-captcha.py

@@ -1,51 +0,0 @@
-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],
-                }