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

8f25a0c

•

1 Parent(s): 77b2f0c

pray

Files changed (1) hide show

redditscraper_fm.py +3 -3

redditscraper_fm.py CHANGED Viewed

@@ -170,9 +170,9 @@ df = df.drop(columns=["num_reports"])  # drop num_reports, always empty
 # cleaning to make colab importing the dataset through huggingface work
 values = {
-    "id": "",
-    "text": "",
-    "url": "",
     "score": 0,
     "date": 0.0,
     "subreddit_subscribers": 0,

 # cleaning to make colab importing the dataset through huggingface work
 values = {
+    "id": "NOTEXT",
+    "text": "NOTEXT",
+    "url": "NOTEXT",
     "score": 0,
     "date": 0.0,
     "subreddit_subscribers": 0,