checking nan for colab

Pill_Ideologies-Post_Titles.py

@@ -166,6 +166,7 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
         urls = _URLS[self.config.name]
         data_dir = dl_manager.download_and_extract(urls)
         data = pd.read_csv(data_dir)
+        data.fillna("NAN -Nothing found", inplace=True)
 
         # make splits
         train, test = train_test_split(

README.md

@@ -161,11 +161,15 @@ The groups of Feminism and Forever Alone Women were added as a juxtaposition aga
 
 <!-- Provide the basic links for the dataset. -->
 
-- **Repository:** [This is the only source]
+- **Repository:** [https://huggingface.co/datasets/steamcyclone/Pill_Ideologies-Post_Titles]
 
 ## Uses
 
-The main usage of this dataset is to study linguistic patterns. Running models and detecting word usage per groups, as well as overlaps across groups is an ideal use for this dataset. With the rise of the loneliness epidemic, any insights that come from this are welcome. 
+The main usage of this dataset is to study linguistic patterns. Running models and detecting word usage per groups, as well as overlaps across groups, are ideal uses for this dataset. With the rise of the loneliness epidemic, any insights that come from this are welcome. 
+
+Here is an example analysis notebook showing what can be done with this type of data.
+
+  Example : []
 
 ### Direct Use