Update README.md (#2)

- Update README.md (eacbd21ce6fdf0e46d97117a422b7fb2a2dad237)

README.md

@@ -69,7 +69,7 @@ language:
 - my
 - ne
 - nl
-- no
+- 'no'
 - ny
 - pa
 - pl
@@ -108,28 +108,41 @@ language:
 tags:
 - text2text-generation
 widget:
-- text: "Life is beautiful! Translate to Mongolian."
-  example_title: "mn-en translation"
-- text: "Le mot japonais «憂鬱» veut dire quoi en Odia?"
-  example_title: "jp-or-fr translation"
-- text: "Stell mir eine schwierige Quiz Frage bei der es um Astronomie geht. Bitte stell die Frage auf Norwegisch."
-  example_title: "de-nb quiz"
-- 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: Life is beautiful! Translate to Mongolian.
+  example_title: mn-en translation
+- text: Le mot japonais «憂鬱» veut dire quoi en Odia?
+  example_title: jp-or-fr translation
+- text: >-
+    Stell mir eine schwierige Quiz Frage bei der es um Astronomie geht. Bitte
+    stell die Frage auf Norwegisch.
+  example_title: de-nb quiz
+- 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-mt
   results:
@@ -231,7 +244,7 @@ model-index:
       revision: 9dbd830a06fea8b1c49d6e5ef2004a08d9f45094
     metrics:
     - type: Accuracy
-      value: 42.0
+      value: 42
   - task:
       type: Natural language inference
     dataset:
@@ -435,7 +448,7 @@ model-index:
     dataset:
       type: story_cloze
       name: StoryCloze (2016)
-      config: "2016"
+      config: '2016'
       split: validation
       revision: e724c6f8cdf7c7a2fb229d862226e15b023ee4db
     metrics:
@@ -451,7 +464,7 @@ model-index:
       revision: 9e12063561e7e6c79099feb6d5a493142584e9e2
     metrics:
     - type: Accuracy
-      value: 88.0
+      value: 88
   - task:
       type: Sentence completion
     dataset:
@@ -462,7 +475,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 81.0
+      value: 81
   - task:
       type: Sentence completion
     dataset:
@@ -473,7 +486,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 79.0
+      value: 79
   - task:
       type: Sentence completion
     dataset:
@@ -484,7 +497,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 90.0
+      value: 90
   - task:
       type: Sentence completion
     dataset:
@@ -495,7 +508,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 88.0
+      value: 88
   - task:
       type: Sentence completion
     dataset:
@@ -506,7 +519,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 56.0
+      value: 56
   - task:
       type: Sentence completion
     dataset:
@@ -517,7 +530,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 81.0
+      value: 81
   - task:
       type: Sentence completion
     dataset:
@@ -528,7 +541,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 81.0
+      value: 81
   - task:
       type: Sentence completion
     dataset:
@@ -539,7 +552,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 76.0
+      value: 76
   - task:
       type: Sentence completion
     dataset:
@@ -550,7 +563,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 76.0
+      value: 76
   - task:
       type: Sentence completion
     dataset:
@@ -561,7 +574,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 85.0
+      value: 85
   - task:
       type: Sentence completion
     dataset:
@@ -572,7 +585,7 @@ model-index:
       revision: 37f73c60fb123111fa5af5f9b705d0b3747fd187
     metrics:
     - type: Accuracy
-      value: 87.0
+      value: 87
   - task:
       type: Sentence completion
     dataset:
@@ -583,7 +596,7 @@ model-index:
       revision: 8bb76e594b68147f1a430e86829d07189622b90d
     metrics:
     - type: Accuracy
-      value: 91.0
+      value: 91
   - task:
       type: Sentence completion
     dataset:
@@ -683,6 +696,7 @@ model-index:
     metrics:
     - type: Accuracy
       value: 93.05
+pipeline_tag: text2text-generation
 ---
 
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