Update README.md

README.md

@@ -64,7 +64,7 @@ Each axis is collected by asking the following 3 questions:
 
 **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).
+the high-level description is likely given the corresponding image, question, and caption. The higher the score, the more the high-level caption is close to the commonsense (in a Likert scale from 1-5).
 
 - **🗃️ Repository:** [github.com/michelecafagna26/HL-dataset](https://github.com/michelecafagna26/HL-dataset)
 - **📜 Paper:** [HL Dataset: Grounding High-Level Linguistic Concepts in Vision](https://arxiv.org/pdf/2302.12189.pdf)