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Dataset: lc_quad 🏷
Update on GitHub

How to load this dataset directly with the 🤗/nlp library:

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from nlp import load_dataset dataset = load_dataset("lc_quad")


LC-QuAD 2.0 is a Large Question Answering dataset with 30,000 pairs of question and its corresponding SPARQL query. The target knowledge base is Wikidata and DBpedia, specifically the 2018 version. Please see our paper for details about the dataset creation process and framework.


title={LC-QuAD 2.0: A Large Dataset for Complex Question Answering over Wikidata and DBpedia},
author={Dubey, Mohnish and Banerjee, Debayan and Abdelkawi, Abdelrahman and Lehmann, Jens},
booktitle={Proceedings of the 18th International Semantic Web Conference (ISWC)},

Models trained or fine-tuned on lc_quad

None yet. Start fine-tuning now =)