Update README.md

README.md

@@ -3,7 +3,7 @@ language: en
 tags:
 - qa
 - classification
-- question 
+- question
 - answering
 - SQuAD
 - metric
@@ -16,7 +16,7 @@ datasets:
 model-index:
 - name: t5-weighter_cnndm-en
   results:
-  - task: 
+  - task:
       name: Classification
       type: Question Weighter
 widget:
@@ -25,7 +25,7 @@ widget:
 # t5-weighter_cnndm-en
 
 ## Model description
-This model is a *Classifier* model based on T5-small, that predicts if a question is asking about important facts or not.
+This model is a *Classifier* model based on T5-small, that predicts if a answer / question couple is considered as important fact or not (Is this answer enough relevant to appear in a plausible summary?).
 It is actually a component of [QuestEval](https://github.com/recitalAI/QuestEval) metric but can be used independently as it is.
 
 
@@ -42,7 +42,6 @@ You can play with the model using the inference API, the text input format shoul
 
 `text_input = "{ANSWER} </s> {QUESTION} </s> {CONTEXT}"`
 
-
 ## Training data
 The model was trained on synthetic data as described in [Questeval: Summarization asks for fact-based evaluation](https://arxiv.org/abs/2103.12693).