Datasets:
michelecafagna26
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Update README.md
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README.md
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@@ -62,7 +62,7 @@ Each axis is collected by asking the following 3 questions:
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2) What is the subject doing?
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3) Why is the subject doing it?
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The high-level descriptions
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Each high-level description is provided with a _confidence score_, crowdsourced by an independent worker measuring the extent to which
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the high-level description is likely given the corresponding image, question, and caption. The higher the score, the more the high-level caption can is close to commonsense (in a Likert scale from 1-5).
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2) What is the subject doing?
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3) Why is the subject doing it?
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**The high-level descriptions capture the human interpretations of the images**. These interpretations contain abstract concepts not directly linked to physical objects.
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Each high-level description is provided with a _confidence score_, crowdsourced by an independent worker measuring the extent to which
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the high-level description is likely given the corresponding image, question, and caption. The higher the score, the more the high-level caption can is close to commonsense (in a Likert scale from 1-5).
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