Datasets:

steamcyclone
/

Pill_Ideologies-Post_Titles

Tasks:

Text Classification

Feature Extraction

Sub-tasks:

multi-class-classification

Languages:

Size:

Tags:

natural-language-understanding

ideology classification

text classification

natural language processing

License:

Dataset card Files Files and versions Community

EricR401S commited on Mar 19

Commit

5ba90bf

•

1 Parent(s): 2637965

ridiculous

Files changed (1) hide show

Pill_Ideologies-Post_Titles.py +2 -2

Pill_Ideologies-Post_Titles.py CHANGED Viewed

@@ -175,8 +175,8 @@ class SubRedditPosts(datasets.GeneratorBasedBuilder):
                     df[col].fillna("No-NAN-Nothing found", inplace=True)
                 elif df[col].dtype in ["int64", "float64", "int32", "float32", "int"]:
                     df[col].fillna(0, inplace=True)
-                # elif df[col].dtype == "bool":
-                #     df[col].fillna(False, inplace=True)
                 else:
                     df[col].fillna("NAN - problematic {col} found", inplace=True)
             return None

                     df[col].fillna("No-NAN-Nothing found", inplace=True)
                 elif df[col].dtype in ["int64", "float64", "int32", "float32", "int"]:
                     df[col].fillna(0, inplace=True)
+                elif df[col].dtype == "bool":
+                    df[col].fillna(False, inplace=True)
                 else:
                     df[col].fillna("NAN - problematic {col} found", inplace=True)
             return None