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HanzhiZhang
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Poly-FEVER

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Text Classification

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HanzhiZhang commited on Feb 21

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@@ -12,7 +12,7 @@ language:
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 # Dataset Card for Poly-FEVER
@@ -27,7 +27,7 @@ This dataset card aims to be a base template for new datasets. It has been gener
 <!-- Provide a longer summary of what this dataset is. -->
 Poly-FEVER is a multilingual fact verification benchmark designed to evaluate hallucination detection in large language models (LLMs). It extends three widely used fact-checking datasets—FEVER, Climate-FEVER, and SciFact—by translating claims into 11 languages, enabling cross-linguistic analysis of LLM performance.
-Poly-FEVER consists of 800,000+ factual claims with binary labels (SUPPORTS or REFUTES), making it suitable for benchmarking multilingual hallucination detection. The dataset covers various domains, including Arts, Science, Politics, and History.
 - **Curated by:** [More Information Needed]

 - ka
 - am
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+- 10K<n<100K
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 # Dataset Card for Poly-FEVER
 <!-- Provide a longer summary of what this dataset is. -->
 Poly-FEVER is a multilingual fact verification benchmark designed to evaluate hallucination detection in large language models (LLMs). It extends three widely used fact-checking datasets—FEVER, Climate-FEVER, and SciFact—by translating claims into 11 languages, enabling cross-linguistic analysis of LLM performance.
+Poly-FEVER consists of 77,973 factual claims with binary labels (SUPPORTS or REFUTES), making it suitable for benchmarking multilingual hallucination detection. The dataset covers various domains, including Arts, Science, Politics, and History.
 - **Curated by:** [More Information Needed]