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Datasets:
UCSC-IRKM
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RAGuard

Tasks:
Question Answering
Languages:
English
Size:
10K<n<100K
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metadata
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 which has been scraped from PolitiFact.

  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.

  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.