huh

reddit_dataset_loader.py

@@ -44,9 +44,7 @@ which have risen in response to the clashes between traditional gender roles and
 """
 
 # TODO: Add a link to an official homepage for the dataset here
-_HOMEPAGE = (
-    "https://huggingface.co/datasets/steamcyclone/Pill-Ideologies-New-Test/tree/main"
-)
+_HOMEPAGE = "https://huggingface.co/datasets/steamcyclone/Pill-Ideologies-New-Test"
 
 # TODO: Add the licence for the dataset here if you can find it
 _LICENSE = "Creative Commons"  # cc
@@ -144,41 +142,42 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
 
-    # def _split_generators(self, dl_manager):
-    #     # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
-    #     # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
-
-    #     # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
-    #     # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
-    #     # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
-    #     urls = _URLS[self.config.name]
-    #     data_dir = dl_manager.download_and_extract(urls)
-    #     return [
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.TRAIN,
-    #             # These kwargs will be passed to _generate_examples
-    #             gen_kwargs={
-    #                 "filepath": os.path.join(data_dir, "train.jsonl"),
-    #                 "split": "train",
-    #             },
-    #         ),
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.VALIDATION,
-    #             # These kwargs will be passed to _generate_examples
-    #             gen_kwargs={
-    #                 "filepath": os.path.join(data_dir, "dev.jsonl"),
-    #                 "split": "dev",
-    #             },
-    #         ),
-    #         datasets.SplitGenerator(
-    #             name=datasets.Split.TEST,
-    #             # These kwargs will be passed to _generate_examples
-    #             gen_kwargs={
-    #                 "filepath": os.path.join(data_dir, "test.jsonl"),
-    #                 "split": "test",
-    #             },
-    #         ),
-    #     ]
+    def _split_generators(self, dl_manager):
+        # TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
+        # If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
+
+        # dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
+        # It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
+        # By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
+        urls = _URLS[self.config.name]
+        data_dir = dl_manager.download_and_extract(urls)
+        print(data_dir, "is the data_dir")
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                    "split": "train",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "dev.jsonl"),
+                    "split": "dev",
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test.jsonl"),
+                    "split": "test",
+                },
+            ),
+        ]
 
     # # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     # def _generate_examples(self, filepath, split):