Update README.md

README.md

@@ -20,11 +20,19 @@ model-index:
     - name: NER F Score
       type: f_score
       value: 0.776119403
-license: agpl-3.0
+
 widget:
-- example 1: "Il faut pas sortir, vous reviendrez pas vivantes."
-- example 2: "Les morts ne parlents pas."
-- example 3: "Les Ambulances garés, les cortèges de defunts, les cadavres qu'on sortait des décombres"
+- text: "Is this review positive or negative? Review: Best cast iron skillet you will ever buy."
+  example_title: "Sentiment analysis"
+- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday. He chose her because she had ..."
+  example_title: "Coreference resolution"
+- text: "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book ..."
+  example_title: "Logic puzzles"
+- text: "The two men running to become New York City's next mayor will face off in their first debate Wednesday night ..."
+  example_title: "Reading comprehension"
+  
+license: agpl-3.0
+
 ---
 
 ## Description
@@ -42,7 +50,7 @@ There is no waranty that it  will work on any others dataset. We finetune, the c
 | **Components** | `transformer`, `ner` |
 | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) |
 | **Sources** | n/a |
-| **License** | n/a |
+| **License** | agpl-3.0 |
 | **Author** | [n/a]() |
 
 ### Label Scheme