Update app.py

app.py

@@ -13,7 +13,7 @@ from huggingface_hub import HfApi, hf_hub_download
 from multiprocessing import TimeoutError
 from concurrent.futures import ThreadPoolExecutor, TimeoutError as FutureTimeoutError
 
-dataset = load_dataset("intersteller2887/Turing-test-dataset", split="train")
+dataset = load_dataset("intersteller2887/Turing-test-dataset-en", split="train")
 dataset = dataset.cast_column("audio", Audio(decode=False)) # Prevent calling 'torchcodec' from newer version of 'datasets'
 
 # Huggingface space working directory: "/home/user/app"
@@ -125,7 +125,7 @@ def load_or_initialize_count_json(audio_paths):
         # Only try downloading if file doesn't exist yet
         if not os.path.exists(COUNT_JSON_PATH):
             downloaded_path = hf_hub_download(
-                repo_id="intersteller2887/Turing-test-dataset",
+                repo_id="intersteller2887/Turing-test-dataset-en",
                 repo_type="dataset",
                 filename=COUNT_JSON_REPO_PATH,
                 token=os.getenv("HF_TOKEN")
@@ -672,7 +672,7 @@ def submit_question_and_advance(q_idx, d_idx, selections, final_choice, all_resu
         print(f"上传出错: {e}")"""
 
 def save_all_results_to_file(all_results, user_data, count_data=None):
-    repo_id = "intersteller2887/Turing-test-dataset"
+    repo_id = "intersteller2887/Turing-test-dataset-en"
     username = user_data.get("username", "user")
     timestamp = pd.Timestamp.now().strftime('%Y%m%d_%H%M%S')
     submission_filename = f"submissions_{username}_{timestamp}.json"