testing generating examples

Pill_Ideologies-Post_Titles.py

@@ -55,7 +55,7 @@ _LICENSE = "cc"  # cc-by-4.0
 _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",
-    "second_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/blob/main/reddit_posts_fm.csv",
+    "second_domain": "https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles/raw/main/reddit_posts_fm.csv",
 }
 
 
@@ -155,14 +155,14 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
         data_dir = dl_manager.download_and_extract(urls)
         print(data_dir, type(data_dir), "checking type")
         data = pd.read_csv(data_dir)
-        print("Error post pandas read csv")
-        print(data.head())
+        print("no Error post pandas read csv")
         train, test = train_test_split(
             data, test_size=0.10, stratify=data["subreddit"], random_state=42
         )
         train, val = train_test_split(
             train, test_size=0.20, stratify=train["subreddit"], random_state=42
         )
+        print("splits complete with scikit learn")
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
@@ -194,6 +194,8 @@ 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(filepath, split)
         with open(filepath, encoding="utf-8") as f:
             for key, row in enumerate(f):
                 data = json.loads(row)