diff --git a/ebay_api.py b/ebay_api.py
index 2ceeffb..79b8ba1 100644
--- a/ebay_api.py
+++ b/ebay_api.py
@@ -191,6 +191,9 @@ class CurateData:
         to_json = json.dumps(data)
         raw_df = pd.read_json(to_json)
         return raw_df
+    # TODO You will have to mess around more with pandas df to find a better solution to creating your csv file: i.e., create dataframe from from instances, run through process to customize your df
+    # for final training set for your ml model training. Contemplate on the future... you want ability to update main csv AND training csv; one for updating raw data instances from search queries, and 
+    # the other for updating your training set. 
 
 
 def main():