Update README.md

README.md

@@ -5,13 +5,16 @@ tags:
 - evaluate
 - metric
 description: >-
-    ParaPLUIE is a metric for evaluating the semantic proximity of two sentences. 
-    ParaPLUIE use the perplexity of an LLM to compute a confidence score.
-    It has shown the highest correlation with human judgement on paraphrase classification meanwhile reamin the computional cost low as it roughtly equal to one token generation cost.
+  ParaPLUIE is a metric for evaluating the semantic proximity of two sentences. 
+  ParaPLUIE use the perplexity of an LLM to compute a confidence score. It has
+  shown the highest correlation with human judgement on paraphrase
+  classification meanwhile reamin the computional cost low as it roughtly equal
+  to one token generation cost.
 sdk: gradio
 sdk_version: 3.19.1
 app_file: app.py
 pinned: false
+short_description: ParaPLUIE is a metric for evaluating the semantic proximity
 ---
 
 # Metric Card for ParaPLUIE (Paraphrase Generation Evaluation Powered by an LLM)
@@ -140,4 +143,4 @@ This metric is based on an LLM and therefore is limited by the LLM used.
     year = "2025",
     url = "https://aclanthology.org/2025.coling-main.538/"
 }
-```
+```