मल्टी_रे_क्यूए

सन्दर्भ:

खोजेंQA

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/SearchQA')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'train' 3163801
'validation' 454836
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

सामान्य ज्ञानQA

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'train' 1893674
'validation' 238339
  • विशेषताएँ :
{
    "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

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'train' 508879
'validation' 52191
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

दस्ता

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/SQuAD')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'train' 95659
'validation' 10642
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

प्राकृतिक प्रश्न

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'train' 448355
'validation' 22118
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

बायोएएसक्यू

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/BioASQ')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'test' 14158
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

संबंधनिष्कर्षण

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'test' 3301
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

पाठ्यपुस्तकQA

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'test' 71147
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

डुओआरसी

इस डेटासेट को TFDS में लोड करने के लिए निम्नलिखित कमांड का उपयोग करें:

ds = tfds.load('huggingface:multi_re_qa/DuoRC')
  • विवरण :
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
  • लाइसेंस : कोई ज्ञात लाइसेंस नहीं
  • संस्करण : 1.0.0
  • विभाजन :
विभाजित करना उदाहरण
'test' 5525
  • विशेषताएँ :
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}