Referencias:
discofuse-sport
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:discofuse/discofuse-sport')
- Descripción :
DISCOFUSE is a large scale dataset for discourse-based sentence fusion.
- Licencia : Sin licencia conocida
- Versión : 1.0.0
- Divisiones :
| Separar | Ejemplos |
|---|---|
'test' | 445521 |
'train' | 43291020 |
'validation' | 440902 |
- Características :
{
"connective_string": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"discourse_type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"coherent_second_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"has_coref_type_pronoun": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"incoherent_first_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"incoherent_second_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"has_coref_type_nominal": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"coherent_first_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
discofuse-wikipedia
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:discofuse/discofuse-wikipedia')
- Descripción :
DISCOFUSE is a large scale dataset for discourse-based sentence fusion.
- Licencia : Sin licencia conocida
- Versión : 1.0.0
- Divisiones :
| Separar | Ejemplos |
|---|---|
'test' | 163657 |
'train' | 16310585 |
'validation' | 168081 |
- Características :
{
"connective_string": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"discourse_type": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"coherent_second_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"has_coref_type_pronoun": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"incoherent_first_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"incoherent_second_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"has_coref_type_nominal": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"coherent_first_sentence": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}