Références :
wiki
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swedish_medical_ner/wiki')
- Description :
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.
Licence : Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) Voir http://creativecommons.org/licenses/by-sa/4.0/ pour le résumé de la licence.
Version : 1.0.0
Divisions :
| Diviser | Exemples |
|---|---|
'train' | 48720 |
- Caractéristiques :
{
"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"
}
}
lt
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swedish_medical_ner/lt')
- Description :
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.
Licence : Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) Voir http://creativecommons.org/licenses/by-sa/4.0/ pour le résumé de la licence.
Version : 1.0.0
Divisions :
| Diviser | Exemples |
|---|---|
'train' | 745753 |
- Caractéristiques :
{
"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
Utilisez la commande suivante pour charger cet ensemble de données dans TFDS :
ds = tfds.load('huggingface:swedish_medical_ner/1177')
- Description :
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.
Licence : Creative Commons Attribution-ShareAlike 4.0 International Public License (CC BY-SA 4.0) Voir http://creativecommons.org/licenses/by-sa/4.0/ pour le résumé de la licence.
Version : 1.0.0
Divisions :
| Diviser | Exemples |
|---|---|
'train' | 927 |
- Caractéristiques :
{
"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"
}
}