Update README.md

README.md

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 ```RAGuard``` is a fact-checking dataset designed to evaluate the robustness of RAG systems against misleading retrievals.
 It consists of 2,648 political claims made by U.S. presidential candidates (2000–2024), each labeled as either *true* or *false*, and a knowledge base comprising 16,331 documents. Each claim is linked to a set
-of associated documents, categorized as *supporting*, *misleading*, or *irrelevant*
+of associated documents, categorized as *supporting*, *misleading*, or *unrelated*
 
 ### Dataset Description
 
@@ -26,7 +26,7 @@ of associated documents, categorized as *supporting*, *misleading*, or *irreleva
 2. Claim: Full text of the claim
 3. Verdict: Binary fact-checking verdict, *True* or *False*
 4. Document IDs: List IDs of documents corresponding to this claim
-5. Document Labels: List of labels for the associated documents, either *supporting*, *misleading*, or *irrelevant*
+5. Document Labels: List of labels for the associated documents, either *supporting*, *misleading*, or *unrelated*
 
 ```documents.csv``` contains the following fields for each document in our knowledge base, scraped from [Reddit](https://www.reddit.com/).
 
@@ -34,7 +34,7 @@ of associated documents, categorized as *supporting*, *misleading*, or *irreleva
 2. Title: Reddit post title
 3. Full Text: Content of the document
 4. Claim ID: ID of the corresponding claim
-5. Document Label: Label for the document's label to the claim, either *supporting*, *misleading*, or *irrelevant*
+5. Document Label: Label for the document's label to the claim, either *supporting*, *misleading*, or *unrelated*
 6. Link: URL to the original document
 
 ### Dataset Source and Usage