Referências:
Pesquisa de controle de qualidade
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/SearchQA')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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"
}
}
Esquadrão
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/SQuAD')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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"
}
}
Perguntas Naturais
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/BioASQ')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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"
}
}
Extração de relação
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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"
}
}
Livro didático QA
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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
Use o seguinte comando para carregar este conjunto de dados no TFDS:
ds = tfds.load('huggingface:multi_re_qa/DuoRC')
- Descrição :
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
- Licença : Nenhuma licença conhecida
- Versão : 1.0.0
- Divisões :
Dividir | Exemplos |
---|---|
'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"
}
}