Datasets:

michelecafagna26
/

hl

Tasks:

Question Answering

Zero-Shot Classification

Sub-tasks:

Languages:

Size:

ArXiv:

License:

Dataset card Files Files and versions Community

michelecafagna26 commited on Jan 26, 2023

Commit

a4b0a8b

•

1 Parent(s): 2824c3b

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -62,7 +62,7 @@ Each axis is collected by asking the following 3 questions:
 2) What is the subject doing?
 3) Why is the subject doing it?
-The high-level descriptions are the human interpretation of the images thus, they look more natural.
 Each high-level description is provided with a _confidence score_, crowdsourced by an independent worker measuring the extent to which
 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).

 2) What is the subject doing?
 3) Why is the subject doing it?
+**The high-level descriptions capture the human interpretations of the images**. These interpretations contain abstract concepts not directly linked to physical objects.
 Each high-level description is provided with a _confidence score_, crowdsourced by an independent worker measuring the extent to which
 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).