मल्टी_रे_क्यूए

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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