Referencias:
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:tweet_qa')
- Descripción :
TweetQA is the first dataset for QA on social media data by leveraging news media and crowdsourcing.
- Licencia : CC BY-SA 4.0
- Versión : 1.0.0
- Divisiones :
Separar | Ejemplos |
---|---|
'test' | 1979 |
'train' | 10692 |
'validation' | 1086 |
- Características :
{
"Question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"Answer": {
"feature": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"Tweet": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"qid": {
"dtype": "string",
"id": null,
"_type": "Value"
}
}