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Datasets:
Sakshamrzt
/
IndicNLP-Multilingual

Tasks:
Text Classification
Modalities:
Text
Formats:
json
Languages:
Gujarati
Panjabi
Oriya
Size:
10K - 100K
Libraries:
Datasets
pandas
License:
Dataset card Data Studio Files
xet
Community
1
Sakshamrzt commited on
Commit
e481a30
·
verified ·
1 Parent(s): b497bda

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +22 -25
README.md CHANGED
@@ -10,8 +10,8 @@ dataset_info:
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  class_label:
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  names:
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  0: entertainment
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- 1: sports
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- 2: business
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  splits:
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  - name: train
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  num_bytes: 73249462
@@ -28,8 +28,8 @@ dataset_info:
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  class_label:
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  names:
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  0: entertainment
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- 1: sports
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- 6: politics
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  splits:
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  - name: train
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  num_bytes: 41558955
@@ -46,8 +46,8 @@ dataset_info:
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  class_label:
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  names:
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  0: entertainment
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- 1: sports
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- 3: lifestyle
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  splits:
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  - name: train
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  num_bytes: 30891114
@@ -63,9 +63,9 @@ dataset_info:
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  dtype:
64
  class_label:
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  names:
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- 0: entertainment
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- 1: sports
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- 2: business
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  splits:
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  - name: train
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  num_bytes: 2976818
@@ -81,10 +81,10 @@ dataset_info:
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  dtype:
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  class_label:
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  names:
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- 0: entertainment
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- 1: sports
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- 2: business
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- 6: politics
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  - name: headline
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  dtype: string
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  splits:
@@ -102,9 +102,10 @@ dataset_info:
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  dtype:
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  class_label:
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  names:
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- 0: entertainment
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- 1: sports
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- 2: business
 
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  splits:
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  - name: train
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  num_bytes: 76475793
@@ -120,9 +121,9 @@ dataset_info:
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  dtype:
121
  class_label:
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  names:
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- 0: entertainment
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- 1: sports
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- 2: business
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  4: technology
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  splits:
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  - name: train
@@ -140,12 +141,8 @@ dataset_info:
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  class_label:
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  names:
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  0: entertainment
143
- 1: sports
144
- 2: business
145
- 3: lifestyle
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- 4: technology
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- 5: crime
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- 6: politics
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  splits:
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  - name: train
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  num_bytes: 11881973
 
10
  class_label:
11
  names:
12
  0: entertainment
13
+ 1: business
14
+ 2: sports
15
  splits:
16
  - name: train
17
  num_bytes: 73249462
 
28
  class_label:
29
  names:
30
  0: entertainment
31
+ 1: politics
32
+ 2: sports
33
  splits:
34
  - name: train
35
  num_bytes: 41558955
 
46
  class_label:
47
  names:
48
  0: entertainment
49
+ 1: lifestyle
50
+ 2: sports
51
  splits:
52
  - name: train
53
  num_bytes: 30891114
 
63
  dtype:
64
  class_label:
65
  names:
66
+ 0: business
67
+ 1: entertainment
68
+ 2: sports
69
  splits:
70
  - name: train
71
  num_bytes: 2976818
 
81
  dtype:
82
  class_label:
83
  names:
84
+ 0: business
85
+ 1: entertainment
86
+ 2: sports
87
+ 3: politics
88
  - name: headline
89
  dtype: string
90
  splits:
 
102
  dtype:
103
  class_label:
104
  names:
105
+ 0: business
106
+ 1: crime
107
+ 2: entertainment
108
+ 3: sports
109
  splits:
110
  - name: train
111
  num_bytes: 76475793
 
121
  dtype:
122
  class_label:
123
  names:
124
+ 0: business
125
+ 1: entertainment
126
+ 2: sports
127
  4: technology
128
  splits:
129
  - name: train
 
141
  class_label:
142
  names:
143
  0: entertainment
144
+ 1: lifestyle
145
+ 2: sports
 
 
 
 
146
  splits:
147
  - name: train
148
  num_bytes: 11881973