mohnish/lc_quad

Dataset Card for LC-QuAD 2.0

Dataset Summary

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.

Supported Tasks and Leaderboards

More Information Needed

Languages

More Information Needed

Dataset Structure

Data Instances

default

• Size of downloaded dataset files: 3.87 MB
• Size of the generated dataset: 20.73 MB
• Total amount of disk used: 24.60 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "NNQT_question": "What is the {periodical literature} for {mouthpiece} of {Delta Air Lines}",
    "paraphrased_question": "What is Delta Air Line's periodical literature mouthpiece?",
    "question": "What periodical literature does Delta Air Lines use as a moutpiece?",
    "sparql_dbpedia18": "\"select distinct ?obj where { ?statement <http://www.w3.org/1999/02/22-rdf-syntax-ns#subject> <http://wikidata.dbpedia.org/resou...",
    "sparql_wikidata": " select distinct ?obj where { wd:Q188920 wdt:P2813 ?obj . ?obj wdt:P31 wd:Q1002697 } ",
    "subgraph": "simple question right",
    "template": " <S P ?O ; ?O instanceOf Type>",
    "template_index": 65,
    "uid": 19719
}

Data Fields

The data fields are the same among all splits.

default

• NNQT_question: a string feature.
• uid: a int32 feature.
• subgraph: a string feature.
• template_index: a int32 feature.
• question: a string feature.
• sparql_wikidata: a string feature.
• sparql_dbpedia18: a string feature.
• template: a string feature.
• paraphrased_question: a string feature.

Data Splits

name	train	test
default	19293	4781

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

More Information Needed

Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

More Information Needed

Licensing Information

LC-QuAD 2.0 is licensed under a Creative Commons Attribution 3.0 Unported License.

Citation Information

@inproceedings{dubey2017lc2,
   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)},
   year={2019},
   organization={Springer}
}

Contributions

Thanks to @lewtun, @thomwolf, @patrickvonplaten for adding this dataset.