Dataset Card for DBLP-QuAD

Dataset Summary

DBLP-QuAD is a scholarly knowledge graph question answering dataset with 10,000 question - SPARQL query pairs targeting the DBLP knowledge graph. The dataset is split into 7,000 training, 1,000 validation and 2,000 test questions.

Dataset Structure

Data Instances

An example of a question is given below:

{
    "id": "Q0577",
    "query_type": "MULTI_FACT",
    "question": {
        "string": "What are the primary affiliations of the authors of the paper 'Graphical Partitions and Graphical Relations'?"
    },
    "paraphrased_question": {
        "string": "List the primary affiliations of the authors of 'Graphical Partitions and Graphical Relations'."
    },
    "query": {
        "sparql": "SELECT DISTINCT ?answer WHERE { <https://dblp.org/rec/journals/fuin/ShaheenS19> <https://dblp.org/rdf/schema#authoredBy> ?x . ?x <https://dblp.org/rdf/schema#primaryAffiliation> ?answer }"
    },
    "template_id": "TP11",
    "entities": [
        "<https://dblp.org/rec/journals/fuin/ShaheenS19>"
    ],
    "relations": [
        "<https://dblp.org/rdf/schema#authoredBy>",
        "<https://dblp.org/rdf/schema#primaryAffiliation>"
    ],
    "temporal": false,
    "held_out": true
}

Data Fields

• id: the id of the question
• question: a string containing the question
• paraphrased_question: a paraphrased version of the question
• query: a SPARQL query that answers the question
• query_type: the type of the query
• query_template: the template of the query
• entities: a list of entities in the question
• relations: a list of relations in the question
• temporal: a boolean indicating whether the question contains a temporal expression
• held_out: a boolean indicating whether the question is held out from the training set

Data Splits

The dataset is split into 7,000 training, 1,000 validation and 2,000 test questions.

Additional Information

Licensing Information

DBLP-QuAD is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Citation Information

In review.

Contributions

Thanks to @awalesushil for adding this dataset.