Update README.md (#1)

- Update README.md (a7a618dd39454e4dacdf7c44f6f98f8a0020fa8e)

README.md

@@ -69,7 +69,7 @@ language:
 - my
 - ne
 - nl
-- no
+- 'no'
 - ny
 - pa
 - pl
@@ -105,24 +105,35 @@ language:
 - yo
 - zh
 - zu
-pipeline_tag: text-generation
+pipeline_tag: text2text-generation
 widget:
-- text: "一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。Would you rate the previous review as positive, neutral or negative?"
-  example_title: "zh-en sentiment"
-- text: "一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。你认为这句话的立场是赞扬、中立还是批评？"
-  example_title: "zh-zh sentiment"
-- text: "Suggest at least five related search terms to \"Mạng neural nhân tạo\"."
-  example_title: "vi-en query"
-- text: "Proposez au moins cinq mots clés concernant «Réseau de neurones artificiels»."
-  example_title: "fr-fr query"
-- text: "Explain in a sentence in Telugu what is backpropagation in neural networks."
-  example_title: "te-en qa"
-- text: "Why is the sky blue?"
-  example_title: "en-en qa"
-- text: "Write a fairy tale about a troll saving a princess from a dangerous dragon. The fairy tale is a masterpiece that has achieved praise worldwide and its moral is \"Heroes Come in All Shapes and Sizes\". Story (in Spanish):"
-  example_title: "es-en fable"
-- text: "Write a fable about wood elves living in a forest that is suddenly invaded by ogres. The fable is a masterpiece that has achieved praise worldwide and its moral is \"Violence is the last refuge of the incompetent\". Fable (in Hindi):"
-  example_title: "hi-en fable"
+- text: >-
+    一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。Would you rate the previous
+    review as positive, neutral or negative?
+  example_title: zh-en sentiment
+- text: 一个传奇的开端，一个不灭的神话，这不仅仅是一部电影，而是作为一个走进新时代的标签，永远彪炳史册。你认为这句话的立场是赞扬、中立还是批评？
+  example_title: zh-zh sentiment
+- text: Suggest at least five related search terms to "Mạng neural nhân tạo".
+  example_title: vi-en query
+- text: >-
+    Proposez au moins cinq mots clés concernant «Réseau de neurones
+    artificiels».
+  example_title: fr-fr query
+- text: Explain in a sentence in Telugu what is backpropagation in neural networks.
+  example_title: te-en qa
+- text: Why is the sky blue?
+  example_title: en-en qa
+- text: >-
+    Write a fairy tale about a troll saving a princess from a dangerous dragon.
+    The fairy tale is a masterpiece that has achieved praise worldwide and its
+    moral is "Heroes Come in All Shapes and Sizes". Story (in Spanish):
+  example_title: es-en fable
+- text: >-
+    Write a fable about wood elves living in a forest that is suddenly invaded
+    by ogres. The fable is a masterpiece that has achieved praise worldwide and
+    its moral is "Violence is the last refuge of the incompetent". Fable (in
+    Hindi):
+  example_title: hi-en fable
 model-index:
 - name: mt0-xxl-p3
   results:
@@ -312,7 +323,7 @@ model-index:
       revision: a5a45e4ff92d5d3f34de70aaf4b72c3bdf9f7f16
     metrics:
     - type: Accuracy
-      value: 61.0
+      value: 61
   - task:
       type: Natural language inference
     dataset:
@@ -428,7 +439,7 @@ model-index:
     dataset:
       type: story_cloze
       name: StoryCloze (2016)
-      config: "2016"
+      config: '2016'
       split: validation
       revision: e724c6f8cdf7c7a2fb229d862226e15b023ee4db
     metrics:
@@ -444,7 +455,7 @@ model-index:
       revision: 9e12063561e7e6c79099feb6d5a493142584e9e2
     metrics:
     - type: Accuracy
-      value: 91.0
+      value: 91
   - task:
       type: Sentence completion
     dataset:
@@ -455,7 +466,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 79.0
+      value: 79
   - task:
       type: Sentence completion
     dataset:
@@ -466,7 +477,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 80.0
+      value: 80
   - task:
       type: Sentence completion
     dataset:
@@ -477,7 +488,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 87.0
+      value: 87
   - task:
       type: Sentence completion
     dataset:
@@ -488,7 +499,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 90.0
+      value: 90
   - task:
       type: Sentence completion
     dataset:
@@ -499,7 +510,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 56.0
+      value: 56
   - task:
       type: Sentence completion
     dataset:
@@ -510,7 +521,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 75.0
+      value: 75
   - task:
       type: Sentence completion
     dataset:
@@ -521,7 +532,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 84.0
+      value: 84
   - task:
       type: Sentence completion
     dataset:
@@ -532,7 +543,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 77.0
+      value: 77
   - task:
       type: Sentence completion
     dataset:
@@ -543,7 +554,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 76.0
+      value: 76
   - task:
       type: Sentence completion
     dataset:
@@ -554,7 +565,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 84.0
+      value: 84
   - task:
       type: Sentence completion
     dataset:
@@ -565,7 +576,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 79.0
+      value: 79
   - task:
       type: Sentence completion
     dataset: