Referencias:
BuscarQA
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/SearchQA')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'train' | 3163801 |
'validation' | 454836 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
CuriosidadesQA
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'train' | 1893674 |
'validation' | 238339 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
HotpotQA
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'train' | 508879 |
'validation' | 52191 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Equipo
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/SQuAD')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'train' | 95659 |
'validation' | 10642 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Preguntas Naturales
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'train' | 448355 |
'validation' | 22118 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
BioASQ
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/BioASQ')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'test' | 14158 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
RelaciónExtracción
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'test' | 3301 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
Libro de textoQA
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'test' | 71147 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}
DuoRC
Utilice el siguiente comando para cargar este conjunto de datos en TFDS:
ds = tfds.load('huggingface:multi_re_qa/DuoRC')
- Descripción :
MultiReQA contains the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. Five of these datasets, including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, contain both training and test data, and three, including BioASQ, RelationExtraction, TextbookQA, contain only the test data
- Licencia : Ninguna licencia conocida
- Versión : 1.0.0
- Divisiones :
Dividir | Ejemplos |
---|---|
'test' | 5525 |
- Características :
{
"candidate_id": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"response_start": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"response_end": {
"dtype": "int32",
"id": null,
"_type": "Value"
}
}