done

Pill_Ideologies-Post_Titles.py

@@ -53,10 +53,8 @@ _LICENSE = "cc"  # cc-by-4.0
 # The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
 # This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
 _URLS = {
-    # "first_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/blob/main/reddit_posts_fm.csv",
-    # "first_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/raw/main/reddit_posts_fm.csv",
     "first_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/resolve/main/reddit_posts_fm.csv",
-    "second_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/raw/main/reddit_posts_fm.csv",
+    "second_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/resolve/main/reddit_posts_fm.csv",
 }
 
 
@@ -166,11 +164,10 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
         # 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]
-        print(urls)
         data_dir = dl_manager.download_and_extract(urls)
-        print(data_dir, type(data_dir), "checking type")
         data = pd.read_csv(data_dir)
-        print("no Error post pandas read csv")
+
+        # make splits
         train, test = train_test_split(
             data, test_size=0.10, stratify=data["subreddit"], random_state=42
         )
@@ -209,14 +206,9 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath, split):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
-        print("inside generate examples")
-        print(split, "is the split")
-        print(filepath.shape, "is the filepath")
-        i = 0
+
         for key, row in filepath.iterrows():
-            # print(row, "is the row")
-            # print(key, "is the key", i, "is the index")
-            # print(row, "is the row")
+
             if self.config.name == "first_domain":
                 yield key, {
                     "subreddit": row.get("subreddit"),
@@ -235,7 +227,6 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
                     "num_reports": row.get("num_reports"),
                     "is_video": row.get("is_video"),
                 }
-                i += 1
 
             else:
                 yield key, {