Update app.py

app.py

@@ -103,7 +103,8 @@ DIMENSIONS_DATA = [
 
 
 DIMENSION_TITLES = [d["title"] for d in DIMENSIONS_DATA]
-SPECIAL_KEYWORDS = ["Code-switching", "Metaphor and Pragmatic Intent", "Accent"]
+# SPECIAL_KEYWORDS = ["Code-switching", "Metaphor and Pragmatic Intent", "Accent"]
+SPECIAL_KEYWORDS = []
 MAX_SUB_DIMS = max(len(d['sub_dims']) for d in DIMENSIONS_DATA)
 THE_SUB_DIMS = [d['sub_dims'] for d in DIMENSIONS_DATA]
 
@@ -903,13 +904,12 @@ with gr.Blocks(theme=gr.themes.Soft(), css=".gradio-container {max-width: 960px
 - **Initiator:** The one who talks the first in the dialogue.   
 - **Respondent:** The other one.   
 - For each question, you'll evaluate the **respondent** (not the initiator) across **5 dimensions**.
-- Under each dimension, score **every listed feature** from **0 to 5**:
+- Under each dimension, score **every listed feature** from **1 to 5**:
 
 ### 🔢 Scoring Guide:
-- **0** – The feature is **not present** *(some features are always present, so use 1–5 in those cases)*  
 - **1** – Strongly machine-like  
 - **2** – Somewhat machine-like  
-- **3** – Neutral (no clear human or machine lean)  
+- **3** – Neutral (no clear human or machine lean, or no enough evidence)  
 - **4** – Somewhat human-like  
 - **5** – Strongly human-like