Referências:
thaiqa_squad
Use o seguinte comando para carregar esse conjunto de dados no TFDS:
ds = tfds.load('huggingface:thaiqa_squad/thaiqa_squad')
- Descrição :
`thaiqa_squad` is an open-domain, extractive question answering dataset (4,000 questions in `train` and 74 questions in `dev`) in
[SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, originally created by [NECTEC](https://www.nectec.or.th/en/) from
Wikipedia articles and adapted to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format by [PyThaiNLP](https://github.com/PyThaiNLP/).
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'train' | 4000 |
'validation' | 74 |
- Características :
{
"question_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"article_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"answer": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_begin_position": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"answer_end_position": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}