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Update README.md

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@@ -14,6 +14,19 @@ language:
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  pipeline_tag: text-generation
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  widget:
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  -
 
 
 
 
 
 
 
 
 
 
 
 
 
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  example_title: "ADE Corpus V2"
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  text: |-
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  Label the sentence based on whether it is related to an adverse drug effect (ADE). Details are described below:
 
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  pipeline_tag: text-generation
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  widget:
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  -
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+ example_title: "Sentiment Analysis"
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+ text: |-
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+ In this task, you are given Twitter posts. Your task is to label the post's emotion (as expressed by the user) as sadness, joy, love, anger, fear, or surprise.
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+
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+ Input: I'm feeling quite sad and sorry for myself but ill snap out of it soon.
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+ Output: sadness
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+
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+ Input: I am just feeling cranky and blue.
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+ Output: anger
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+
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+ Input: I can have for a treat or if i am feeling festive.
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+ Output:
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+ -
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  example_title: "ADE Corpus V2"
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  text: |-
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  Label the sentence based on whether it is related to an adverse drug effect (ADE). Details are described below: