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---
license: mit
task_categories:
- question-answering
language:
- en
pretty_name: RAGuard
size_categories:
- 10K<n<100K
---
# Dataset Card for RAGuard
## Dataset Details
A fact-checking dataset designed to evaluate the robustness of RAG systems against misleading retrievals.
```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
of associated documents, categorized as *supporting*, *misleading*, or *irrelevant*
### Dataset Description
```claims.csv``` contains the following fields for each claim, scraped from [PolitiFact](https://www.politifact.com/).
1. Claim ID
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*
```documents.csv``` contains the following fields for each document in our knowledge base, scraped from [Reddit](https://www.reddit.com/).
1. Document ID
2. Title: Reddit post title
3. Full Text
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*
6. Link
### Dataset Source and Usage
- See Section 2.4 of the **Preprint** \[To Be Released] for supported tasks
# Disclaimer
This dataset has been constructed from information that publically available on the Internet.
It contains discussion of sensitive political topics that some may find offensive.
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