multi_re_qa

Riferimenti:

• Codice
• Abbracciare la faccia

CercaQA

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/SearchQA')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'train'	3163801
'validation'	454836

• Caratteristiche :

{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

CuriositàQA

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/TriviaQA')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'train'	1893674
'validation'	238339

• Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/HotpotQA')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'train'	508879
'validation'	52191

• Caratteristiche :

{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

Squadra

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/SQuAD')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'train'	95659
'validation'	10642

• Caratteristiche :

{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

Domande naturali

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'train'	448355
'validation'	22118

• Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/BioASQ')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'test'	14158

• Caratteristiche :

{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

RelationExtraction

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'test'	3301

• Caratteristiche :

{
    "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 di testoQA

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/TextbookQA')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'test'	71147

• Caratteristiche :

{
    "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

Utilizzare il comando seguente per caricare questo set di dati in TFDS:

ds = tfds.load('huggingface:multi_re_qa/DuoRC')

• Descrizione :

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

• Licenza : nessuna licenza conosciuta
• Versione : 1.0.0
• Divide :

Diviso	Esempi
'test'	5525

• Caratteristiche :

{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}