add mrkdown

app.py

@@ -526,17 +526,20 @@ This tool identifies **dataset mentions** (e.g., *Demographic and Health Survey*
 - reference population  
 - data description
 - data type
-Usage context:
-primary, background, supporting mention - hover through each datasets to see its usage context.
+- usage context
 
-
-The detected spans are **highlighted inline** with labels so you can quickly review how datasets are being referenced in text.
+**Usage Context Definitions**
+- **Primary mention** – the dataset is the **main source of analysis or results** in the study.  
+- **Supporting mention** – the dataset is **used alongside other data** to complement or validate findings.  
+- **Background mention** – the dataset is **mentioned for context or comparison** but **not used** in the actual analysis.
 
 #### How to Use
-1. Paste or type text into the input box (left) or use any of the examples.
-2. Click **Submit**.
-3. Review highlighted dataset mentions and relation tags (right).
-4. Hover over highlights to see details.
+1. Paste or type text into the input box (left), or select one of the provided examples.  
+2. Click **🚀 Run Extraction** to process the text.  
+3. The model will **highlight all detected dataset mentions** and related entities (e.g., publisher, geography, year, usage context) directly in the text.  
+4. Below the highlights, a **deduplicated relation tree** will automatically appear, showing each dataset with its extracted metadata and filtered attributes.  
+5. You can click **🧭 Show / Refresh Relation Tree** anytime to rebuild or inspect the deduplicated metadata view.
+
 
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