fact-check
FactCheck
Dataset Card for FactCheck
📝 Dataset Summary
FactCheck is an benchmark for evaluating LLMs on knowledge graph fact verification. It combines structured facts from YAGO, DBpedia, and FactBench with web-extracted evidence including questions, summaries, full text, and metadata. The dataset contains examples designed for sentence-level fact-checking and QA tasks.
📚 Supported Tasks
Question Answering: Answer fact-checking questions derived from KG triples.… See the full description on the dataset page: https://huggingface.co/datasets/FactCheck-AI/FactCheck.fact-check-classification-dataset
Fact-Check Classification Dataset
🎯 Purpose: Binary classification dataset for determining whether a prompt needs external fact-checking.
Dataset Description
This dataset is designed to train classifiers that can route LLM requests based on whether they require external fact verification. It's part of the vLLM Semantic Router project.
Labels
FACT_CHECK_NEEDED (1): Information-seeking questions requiring external verification
Factual questions about dates… See the full description on the dataset page: https://huggingface.co/datasets/llm-semantic-router/fact-check-classification-dataset.datacommons_factcheckA dataset of fact checked claims by news media maintained by datacommons.orgAugmented_MultiClaim_FactCheck_Retrieval
Augmented MultiClaim FactCheck Retrieval Dataset
1. Dataset Summary
This dataset is a collection of social media posts that have been augmented using a large language model (GPT-4o). The original dataset was sourced from the paper Multilingual Previously Fact-Checked Claim Retrieval by Matúš Pikuliak et al. (2023). You can access the original dataset from here. The dataset is used for improving the ability to comprehend content across multiple languages by integrating… See the full description on the dataset page: https://huggingface.co/datasets/MultiMind-SemEval2025/Augmented_MultiClaim_FactCheck_Retrieval.med-factcheck-benchmark-v2Multi_News_fact_checking_claims
Dataset Card for "v2"
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