Book a Demo!
CoCalc Logo Icon
StoreFeaturesDocsShareSupportNewsAboutPoliciesSign UpSign In
amanchadha
GitHub Repository: amanchadha/coursera-natural-language-processing-specialization
 Path: blob/master/4 - Natural Language Processing with Attention Models/Week 3/data/squad/plain_text/1.0.0/dataset_info.json
65 views
1
{

2
  "citation": "@article{2016arXiv160605250R,\n       author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},\n                 Konstantin and {Liang}, Percy},\n        title = \"{SQuAD: 100,000+ Questions for Machine Comprehension of Text}\",\n      journal = {arXiv e-prints},\n         year = 2016,\n          eid = {arXiv:1606.05250},\n        pages = {arXiv:1606.05250},\narchivePrefix = {arXiv},\n       eprint = {1606.05250},\n}",

3
  "description": "Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.",

4
  "downloadSize": "35142551",

5
  "location": {

6
    "urls": [

7
      "https://rajpurkar.github.io/SQuAD-explorer/"

8
    ]

9
  },

10
  "name": "squad",

11
  "schema": {

12
    "feature": [

13
      {

14
        "name": "answers"

15
      },

16
      {

17
        "name": "context",

18
        "type": "BYTES"

19
      },

20
      {

21
        "name": "id",

22
        "type": "BYTES"

23
      },

24
      {

25
        "name": "question",

26
        "type": "BYTES"

27
      },

28
      {

29
        "name": "title",

30
        "type": "BYTES"

31
      }

32
    ]

33
  },

34
  "sizeInBytes": "35142551",

35
  "splits": [

36
    {

37
      "name": "train",

38
      "numShards": "10",

39
      "shardLengths": [

40
        "87599"

41
      ],

42
      "statistics": {

43
        "features": [

44
          {

45
            "bytesStats": {

46
              "commonStats": {

47
                "numNonMissing": "87599"

48
              }

49
            },

50
            "name": "context",

51
            "type": "BYTES"

52
          },

53
          {

54
            "bytesStats": {

55
              "commonStats": {

56
                "numNonMissing": "87599"

57
              }

58
            },

59
            "name": "id",

60
            "type": "BYTES"

61
          },

62
          {

63
            "bytesStats": {

64
              "commonStats": {

65
                "numNonMissing": "87599"

66
              }

67
            },

68
            "name": "question",

69
            "type": "BYTES"

70
          },

71
          {

72
            "bytesStats": {

73
              "commonStats": {

74
                "numNonMissing": "87599"

75
              }

76
            },

77
            "name": "title",

78
            "type": "BYTES"

79
          }

80
        ],

81
        "numExamples": "87599"

82
      }

83
    },

84
    {

85
      "name": "validation",

86
      "numShards": "1",

87
      "shardLengths": [

88
        "10570"

89
      ],

90
      "statistics": {

91
        "features": [

92
          {

93
            "bytesStats": {

94
              "commonStats": {

95
                "numNonMissing": "10570"

96
              }

97
            },

98
            "name": "context",

99
            "type": "BYTES"

100
          },

101
          {

102
            "bytesStats": {

103
              "commonStats": {

104
                "numNonMissing": "10570"

105
              }

106
            },

107
            "name": "id",

108
            "type": "BYTES"

109
          },

110
          {

111
            "bytesStats": {

112
              "commonStats": {

113
                "numNonMissing": "10570"

114
              }

115
            },

116
            "name": "question",

117
            "type": "BYTES"

118
          },

119
          {

120
            "bytesStats": {

121
              "commonStats": {

122
                "numNonMissing": "10570"

123
              }

124
            },

125
            "name": "title",

126
            "type": "BYTES"

127
          }

128
        ],

129
        "numExamples": "10570"

130
      }

131
    }

132
  ],

133
  "version": "1.0.0"

134
}

135