Referencias:
covid_qa_deepset
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:covid_qa_castorini/covid_qa_deepset')
- Descripción :
COVID-QA is a Question Answering dataset consisting of 2,019 question/answer pairs annotated by volunteer biomedical experts on scientific articles related to COVID-19.
- Licencia : Licencia Apache 2.0
- Versión : 1.0.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 2019 |
- Características :
{
"document_id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"context": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"is_impossible": {
"dtype": "bool",
"id": null,
"_type": "Value"
},
"id": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"text": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answer_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
covidqa
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:covid_qa_castorini/covidqa')
- Descripción :
CovidQA is the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.
- Licencia : Licencia Apache 2.0
- Versión : 0.2.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 27 |
- Características :
{
"category_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"keyword_query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"exact_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}
covid_qa_castorini
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:covid_qa_castorini/covid_qa_castorini')
- Descripción :
CovidQA is the beginnings of a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle's COVID-19 Open Research Dataset Challenge.
- Licencia : Licencia Apache 2.0
- Versión : 0.2.0
- Divisiones :
Separar | Ejemplos |
---|---|
'train' | 27 |
- Características :
{
"category_name": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"question_query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"keyword_query": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"answers": {
"feature": {
"id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"title": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"exact_answer": {
"dtype": "string",
"id": null,
"_type": "Value"
}
},
"length": -1,
"id": null,
"_type": "Sequence"
}
}