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conv_questions

参考:

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:conv_questions')
  • 说明
ConvQuestions is the first realistic benchmark for conversational question answering over knowledge graphs.
It contains 11,200 conversations which can be evaluated over Wikidata. The questions feature a variety of complex
question phenomena like comparisons, aggregations, compositionality, and temporal reasoning.
  • 许可:CC BY 4.0
  • 版本:1.0.0
  • 拆分
拆分 样本
'test' 2240
'train' 6720
'validation' 2240
  • 特征
{
    "domain": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "seed_entity": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "seed_entity_text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "questions": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answers": {
        "feature": {
            "feature": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "length": -1,
            "id": null,
            "_type": "Sequence"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    },
    "answer_texts": {
        "feature": {
            "dtype": "string",
            "id": null,
            "_type": "Value"
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}