lc_quad

Stay organized with collections Save and categorize content based on your preferences.

References:

Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:lc_quad')
  • Description:
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.
  • License: No known license
  • Version: 2.0.0
  • Splits:
Split Examples
'test' 4781
'train' 19293
  • Features:
{
    "NNQT_question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "uid": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "subgraph": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "template_index": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sparql_wikidata": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sparql_dbpedia18": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "template": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "paraphrased_question": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    }
}