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README.md
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---
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license: mit
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task_categories:
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- question-answering
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language:
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- en
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pretty_name: RAGuard
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size_categories:
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- 10K<n<100K
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---
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# Dataset Card for RAGuard
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## Dataset Details
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A fact-checking dataset designed to evaluate the robustness of RAG systems against misleading retrievals.
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```RAGuard``` 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
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of associated documents, categorized as *supporting*, *misleading*, or *irrelevant*
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### Dataset Description
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```claims.csv``` contains the following fields for each claim which has been scraped from [PolitiFact](https://www.politifact.com/).
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1. Claim ID
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2. Claim: Full text of the claim
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3. Verdict: Binary fact-checking verdict, *true* or *false*
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4. Document IDs: List IDs of documents corresponding to this claim
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5. Document Labels: List of labels for the associated documents, either *supporting*, *misleading*, or *irrelevant*
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```documents.csv``` contains the following fields for each document in our knowledge base, scraped from [Reddit](https://www.reddit.com/).
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1. Document ID
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2. Title: Reddit post title
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3. Full Text
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4. Claim ID: ID of the corresponding claim
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5. Document Label: Label for the document's label to the claim, either *supporting*, *misleading*, or *irrelevant*
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6. Link
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### Dataset Source and Usage
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- See the **Preprint** at \[To Be Released]
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# Disclaimer
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This dataset has been constructed from information that publically available on the Internet.
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It contains discussion of sensitive political topics that some may find offensive.
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