ehealth_kd

Ссылки:

ehealth_kd

Используйте следующую команду, чтобы загрузить этот набор данных в TFDS:

ds = tfds.load('huggingface:ehealth_kd/ehealth_kd')
  • Описание :
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.
Расколоть Примеры
'test' 100
'train' 800
'validation' 199
  • Функции :
{
    "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"
            }
        }
    ]
}