Referências:
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:nkjp-ner')
- Descrição :
The NKJP-NER is based on a human-annotated part of National Corpus of Polish (NKJP). We extracted sentences with named entities of exactly one type. The task is to predict the type of the named entity.
- Licença : GNU GPL v.3
- Versão : 1.1.0
- Divisões :
| Dividir | Exemplos |
|---|---|
'test' | 2058 |
'train' | 15794 |
'validation' | 1941 |
- Características :
{
"sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"target": {
"num_classes": 6,
"names": [
"geogName",
"noEntity",
"orgName",
"persName",
"placeName",
"time"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}