swedish_medical_ner

Referências:

wiki

Use o seguinte comando para carregar este conjunto de dados no TFDS:

ds = tfds.load('huggingface:swedish_medical_ner/wiki')
  • Descrição :
SwedMedNER is a dataset for training and evaluating Named Entity Recognition systems on medical texts in Swedish.
It is derived from medical articles on the Swedish Wikipedia, Läkartidningen, and 1177 Vårdguiden.
Dividir Exemplos
'train' 48720
  • Características :
{
    "sid": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entities": {
        "feature": {
            "start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "end": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 3,
                "names": [
                    "Disorder and Finding",
                    "Pharmaceutical Drug",
                    "Body Structure"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

isso

Use o seguinte comando para carregar este conjunto de dados no TFDS:

ds = tfds.load('huggingface:swedish_medical_ner/lt')
  • Descrição :
SwedMedNER is a dataset for training and evaluating Named Entity Recognition systems on medical texts in Swedish.
It is derived from medical articles on the Swedish Wikipedia, Läkartidningen, and 1177 Vårdguiden.
Dividir Exemplos
'train' 745753
  • Características :
{
    "sid": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entities": {
        "feature": {
            "start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "end": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 3,
                "names": [
                    "Disorder and Finding",
                    "Pharmaceutical Drug",
                    "Body Structure"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}

1177

Use o seguinte comando para carregar este conjunto de dados no TFDS:

ds = tfds.load('huggingface:swedish_medical_ner/1177')
  • Descrição :
SwedMedNER is a dataset for training and evaluating Named Entity Recognition systems on medical texts in Swedish.
It is derived from medical articles on the Swedish Wikipedia, Läkartidningen, and 1177 Vårdguiden.
Dividir Exemplos
'train' 927
  • Características :
{
    "sid": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "sentence": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "entities": {
        "feature": {
            "start": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "end": {
                "dtype": "int32",
                "id": null,
                "_type": "Value"
            },
            "text": {
                "dtype": "string",
                "id": null,
                "_type": "Value"
            },
            "type": {
                "num_classes": 3,
                "names": [
                    "Disorder and Finding",
                    "Pharmaceutical Drug",
                    "Body Structure"
                ],
                "names_file": null,
                "id": null,
                "_type": "ClassLabel"
            }
        },
        "length": -1,
        "id": null,
        "_type": "Sequence"
    }
}