Referencias:
abstractivo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:aquamuse/abstractive')
- Descripción :
AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl)
- Licencia : Ninguna licencia conocida
- Versión : 2.3.0
- Divisiones :
| Dividir | Ejemplos |
|---|---|
'test' | 811 |
'train' | 6253 |
'validation' | 661 |
- Características :
{
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input_urls": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}
extractivo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:aquamuse/extractive')
- Descripción :
AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl)
- Licencia : Ninguna licencia conocida
- Versión : 2.3.0
- Divisiones :
| Dividir | Ejemplos |
|---|---|
'test' | 811 |
'train' | 6253 |
'validation' | 661 |
- Características :
{
"query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"input_urls": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"target": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}