multi_re_qa

הפניות:

חיפושQA

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:multi_re_qa/SearchQA')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'train' 3163801
'validation' 454836
  • תכונות : 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

TriviaQA

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:multi_re_qa/TriviaQA')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'train' 1893674
'validation' 238339
  • תכונות : 
{
    "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

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS:

ds = tfds.load('huggingface:multi_re_qa/HotpotQA')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'train' 508879
'validation' 52191
  • תכונות : 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

חוּלִיָה

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS: 

ds = tfds.load('huggingface:multi_re_qa/SQuAD')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'train' 95659
'validation' 10642
  • תכונות : 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

שאלות טבעיות

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS: 

ds = tfds.load('huggingface:multi_re_qa/NaturalQuestions')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'train' 448355
'validation' 22118
  • תכונות : 
{
    "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

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS: 

ds = tfds.load('huggingface:multi_re_qa/BioASQ')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'test' 14158
  • תכונות : 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

חילוץ יחסים

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS: 

ds = tfds.load('huggingface:multi_re_qa/RelationExtraction')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'test' 3301
  • תכונות : 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}

ספר לימודQA

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS: 

ds = tfds.load('huggingface:multi_re_qa/TextbookQA')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'test' 71147
  • תכונות : 
{
    "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

השתמש בפקודה הבאה כדי לטעון מערך נתונים זה ב-TFDS: 

ds = tfds.load('huggingface:multi_re_qa/DuoRC')
  • תיאור : 
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
  • רישיון : אין רישיון ידוע
  • גרסה : 1.0.0
  • פיצולים :
לְפַצֵל דוגמאות
'test' 5525
  • תכונות : 
{
    "candidate_id": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    },
    "response_start": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    },
    "response_end": {
        "dtype": "int32",
        "id": null,
        "_type": "Value"
    }
}