Update app.py

app.py

@@ -11,9 +11,9 @@ HF_TOKEN = os.getenv('HF_TOKEN')
 login(token=HF_TOKEN)
 
 
-dataset_1 = load_dataset("Q-bert/LlamaPair")["train"]
-dataset_2 = load_dataset("Q-bert/QwenPair")["train"]
-dataset_3 = load_dataset("Q-bert/MistralPair")["train"]
+dataset_1 = load_dataset("HumanLLMs/LlamaPair")["train"]
+dataset_2 = load_dataset("HumanLLMs/QwenPair")["train"]
+dataset_3 = load_dataset("HumanLLMs/MistralPair")["train"]
 
 df_log = pd.DataFrame(columns=["instruction", "selected_model", "pair", "submission_time"])
 
@@ -46,7 +46,7 @@ def format_response_html(response):
 
 def submit_choice(selected_response, instruction, label_1, label_2, pair_name):
     try:
-        df_log = pd.DataFrame(load_dataset("Q-bert/log")["train"])
+        df_log = pd.DataFrame(load_dataset("HumanLLMs/log")["train"])
     except:
         df_log = pd.DataFrame(columns=["instruction", "selected_model", 
                                      "pair", "submission_time"])
@@ -64,7 +64,7 @@ def submit_choice(selected_response, instruction, label_1, label_2, pair_name):
     df_log = pd.concat([df_log, new_entry], ignore_index=True)
     df_log.to_csv("annotations_log.csv", index=False)
     log = Dataset.from_pandas(df_log)
-    log.push_to_hub("Q-bert/log")
+    log.push_to_hub("HumanLLMs/log")
     
     new_instruction, new_response_1, new_response_2, new_label_1, new_label_2, new_pair_name = get_random_row()