multi_re_qa

Riferimenti:

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"
    }
}