UKP Snopes Corpus
Count of file(s): 1
Date
2019-09-09
Description
This corpus is based on the Snopes fact-checking website and provides annotations for training machine learning models for different tasks in the fact-checking process: document retrieval, stance detection, evidence identification and claim validation. The corpus contains 6,422 validated claims, 16,507 evidence text snippets (annotated with sentence level evidence), and 14,296 documents with their sources (URLs).
Please note: We crawled and provide the data according to the regulations of the German text and data mining policy, and we are allowed to share the corpus only for research purposes. Thus, in order to be able to download the corpus, you need to get in contact with us.
If you use the corpus in academic works, please cite our CoNLL paper.
Subject
Fact-Checking;Fake-News;Stance Detection;Evidence Identification;Claim Validation;Document RetrievalRelated Resources
- Is referenced by: https://github.com/UKPLab/conll2019-snopes-experiments
- Is referenced by: https://github.com/UKPLab/conll2019-snopes-crawling
Reference in TUbiblio
Collections
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Fact Checking [2]
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