Updated dataset

app.py

@@ -9,10 +9,10 @@ from difflib import ndiff
 model = StaticModel.from_pretrained("minishlab/M2V_base_output")
 
 # Default parameters
-default_dataset_name = "sst2"
+default_dataset_name = "ag_news"
 default_dataset1_split = "train"  # Default for the first dataset is "train"
 default_dataset2_split = "test"   # Default for the second dataset is "test"
-default_text_column = "sentence"
+default_text_column = "text"
 default_threshold = 0.9
 
 def deduplicate_embeddings(