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README.md
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pipeline_tag: text-generation
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widget:
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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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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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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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Input: I am just feeling cranky and blue.
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Output: anger
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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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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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