feat: text config

data/{train.zip → text/train.zip}

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:61378ec4eed5bf3c71a91dcfb464a34ab6b74028f80e1e5a6e042f6e91dd0295
+oid sha256:a6624dd926f957843f14e56443308b2904c95707ccf2eed16849381f2f819635
 size 1586223

visible-watermark-pita.py

@@ -11,46 +11,41 @@ _DESCRIPTION = """\
 
 _VERSION = datasets.Version("1.0.0")
 
-_REPO = "data"
-_URLS = {"train": f"{_REPO}/train.zip", "valid": f"{_REPO}/valid.zip"}
 
-_CATEGORIES = ["text"]
+class WatermarkPitaConfig(datasets.BuilderConfig):
+    """Builder Config for Food-101"""
 
-
-# class WatermarkPitaConfig(datasets.BuilderConfig):
-#     """Builder Config for Food-101"""
-
-#     def __init__(self, repository, urls, categories, **kwargs):
-#         """BuilderConfig for Food-101.
+    def __init__(self, repository, urls, categories, **kwargs):
+        """BuilderConfig for Food-101.
         
-#         Args:
-#             repository: `string`, the name of the repository.
-#             urls: `dict<string, string>`, the urls to the data.
-#             categories: `list<string>`, the categories of the data.
+        Args:
+            repository: `string`, the name of the repository.
+            urls: `dict<string, string>`, the urls to the data.
+            categories: `list<string>`, the categories of the data.
           
-#             **kwargs: keyword arguments forwarded to super.
-#         """
-#         VERSION = datasets.Version("1.0.0")
+            **kwargs: keyword arguments forwarded to super.
+        """
+        _VERSION = datasets.Version("1.0.0")
 
-#         super(WatermarkPitaConfig, self).__init__(version=VERSION, **kwargs)
-#         self.repository = repository
-#         self.urls = categories
-#         self.categories = categories
+        super(WatermarkPitaConfig, self).__init__(version=_VERSION, **kwargs)
+        self.repository = repository
+        self.urls = categories
+        self.categories = categories
 
 
 class WatermarkPita(datasets.GeneratorBasedBuilder):
     """Watermark Dataset"""
 
-    # BUILDER_CONFIGS = [
-    #     WatermarkPitaConfig(
-    #         name="text",
-    #         repository=_REPO,
-    #         urls=_URLS,
-    #         categories=_CATEGORIES,
-    #     )
-    # ]
+    BUILDER_CONFIGS = [
+        WatermarkPitaConfig(
+            name="text",
+            repository="data",
+            urls={"train": "data/train.zip", "valid": "data/valid.zip"},
+            categories=["text"],
+        )
+    ]
   
-    # _DEFAULT_CONFIG_NAME = "text"
+    _DEFAULT_CONFIG_NAME = "text"
 
     def _info(self):
         return datasets.DatasetInfo(
@@ -59,7 +54,7 @@ class WatermarkPita(datasets.GeneratorBasedBuilder):
                     "image": datasets.Image(),
                     "objects": datasets.Sequence(
                         {
-                            "label": datasets.ClassLabel(names=_CATEGORIES),
+                            "label": datasets.ClassLabel(names=self.config.categories),
                             "bbox": datasets.Sequence(
                                 datasets.Value("int32"), length=4
                             ),
@@ -71,7 +66,7 @@ class WatermarkPita(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        data_dir = dl_manager.download_and_extract(_URLS)
+        data_dir = dl_manager.download_and_extract(self.config.urls)
 
         return [
             datasets.SplitGenerator(