Update Fluency_Score.py

Fluency_Score.py

@@ -3,6 +3,10 @@ import datasets
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
+_description = """Fluency Score is a metric to score an Arabic sentence based on its "Fluency". That means is it closer to the eloquent classical Arabic (1) or not (0).
+Examples of the sentences can be found in the evaluation metric's model card (https://huggingface.co/Baleegh/Fluency_Score)[Here].
+"""
+
 class Fluency_Score(evaluate.Metric):
     
     def _info(self):
@@ -15,7 +19,7 @@ class Fluency_Score(evaluate.Metric):
                     "texts": datasets.Value("string", id="sequence"),
                 }
             ),
-            reference_urls=[],
+            reference_urls=['https://huggingface.co/Baleegh/Fluency_Score'],
         )
     
     def _download_and_prepare(self, dl_manager, device=None):