multi_re_qa

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 didáticoQA

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"
    }
}