References:
thaiqa_squad
Use the following command to load this dataset in TFDS:
ds = tfds.load('huggingface:thaiqa_squad/thaiqa_squad')
- Description:
`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/).
- License: No known license
- Version: 1.0.0
- Splits:
| Split | Examples |
|---|---|
'train' |
4000 |
'validation' |
74 |
- Features:
{
"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"
}
}