Referências:
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:hlgd')
- Descrição :
HLGD is a binary classification dataset consisting of 20,056 labeled news headlines pairs indicating
whether the two headlines describe the same underlying world event or not.
- Licença : Licença Apache-2.0
- Versão : 1.1.0
- Divisões :
Dividir | Exemplos |
---|---|
'test' | 2495 |
'train' | 15492 |
'validation' | 2069 |
- Características :
{
"timeline_id": {
"num_classes": 10,
"names": [
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
},
"headline_a": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"headline_b": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date_a": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"date_b": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url_a": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"url_b": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"label": {
"num_classes": 2,
"names": [
"same_event",
"different_event"
],
"names_file": null,
"id": null,
"_type": "ClassLabel"
}
}