multi_re_qa

参考文献:

検索QA

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/SearchQA')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'train' 3163801
'validation' 454836
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

トリビアQA

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'train' 1893674
'validation' 238339
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

ホットポットQA

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'train' 508879
'validation' 52191
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

分隊

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/SQuAD')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'train' 95659
'validation' 10642
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

自然な質問

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'train' 448355
'validation' 22118
  • 特徴： 
{
    "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

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/BioASQ')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'test' 14158
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

関係抽出

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'test' 3301
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

教科書QA

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'test' 71147
  • 特徴： 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

デュオRC

次のコマンドを使用して、このデータセットを TFDS にロードします。

ds = tfds.load('huggingface:multi_re_qa/DuoRC')
  • 説明：
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
  • ライセンス: 既知のライセンスはありません
  • バージョン: 1.0.0
  • 分割:
スプリット例
'test' 5525
  • 特徴：
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}