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ehealth_kd

参考:

ehealth_kd

使用以下命令在 TFDS 中加载此数据集:

ds = tfds.load('huggingface:ehealth_kd/ehealth_kd')
  • 说明
Dataset of the eHealth Knowledge Discovery Challenge at IberLEF 2020. It is designed for
the identification of semantic entities and relations in Spanish health documents.
拆分 样本
'test' 100
'train' 800
'validation' 199
  • 特征
{
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entities": [
        {
            "ent_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "ent_text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "ent_label": {
                "num_classes": 4,
                "names": [
                    "Concept",
                    "Action",
                    "Predicate",
                    "Reference"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "start_character": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "end_character": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            }
        }
    ],
    "relations": [
        {
            "rel_id": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "rel_label": {
                "num_classes": 13,
                "names": [
                    "is-a",
                    "same-as",
                    "has-property",
                    "part-of",
                    "causes",
                    "entails",
                    "in-time",
                    "in-place",
                    "in-context",
                    "subject",
                    "target",
                    "domain",
                    "arg"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            },
            "arg1": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "arg2": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            }
        }
    ]
}