librarian-bot commited on
Commit
f7c2cd4
·
verified ·
1 Parent(s): 259d5e1

Librarian Bot: Add language metadata for dataset

Browse files

This pull request aims to enrich the metadata of your dataset by adding language metadata to `YAML` block of your dataset card `README.md`.

How did we find this information?

- The librarian-bot downloaded a sample of rows from your dataset using the [dataset-server](https://huggingface.co/docs/datasets-server/) library
- The librarian-bot used a language detection model to predict the likely language of your dataset. This was done on columns likely to contain text data.
- Predictions for rows are aggregated by language and a filter is applied to remove languages which are very infrequently predicted
- A confidence threshold is applied to remove languages which are not confidently predicted

The following languages were detected with the following mean probabilities:

- Thai (th): 94.96%


If this PR is merged, the language metadata will be added to your dataset card. This will allow users to filter datasets by language on the [Hub](https://huggingface.co/datasets).
If the language metadata is incorrect, please feel free to close this PR.

To merge this PR, you can use the merge button below the PR:
![Screenshot 2024-02-06 at 15.27.46.png](https://cdn-uploads.huggingface.co/production/uploads/63d3e0e8ff1384ce6c5dd17d/1PRE3CoDpg_wfThC6U1w0.png)

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bots). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to

@davanstrien
.

Files changed (1) hide show
  1. README.md +176 -174
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  dataset_info:
3
  features:
4
  - name: text
@@ -6,180 +8,180 @@ dataset_info:
6
  - name: label
7
  dtype:
8
  class_label:
9
- names:
10
- '171': X9
11
- '34': AAA
12
- '4': 810
13
- '63': EE
14
- '65': EN
15
- '3': 20
16
- '100': MI
17
- '51': DI
18
- '147': SI
19
- '87': IMW
20
- '89': ISV
21
- '1': 12
22
- '156': SWC
23
- '154': SUB
24
- '2': 15
25
- '157': TAK
26
- '158': TIA
27
- '98': KP
28
- '167': X5
29
- '166': X4
30
- '97': KM
31
- '54': DS
32
- '71': EY
33
- '130': RN
34
- '55': DS1
35
- '159': TN
36
- '43': BP
37
- '44': BP3
38
- '45': BP4
39
- '46': BP5
40
- '47': BPS
41
- '124': PK
42
- '125': PKB
43
- '126': PKL
44
- '123': PEE
45
- '53': DP
46
- '128': PS
47
- '127': PM
48
- '149': SL
49
- '0': 0
50
- '148': SK
51
- '152': SM
52
- '146': SF
53
- '129': PTL
54
- '144': SB
55
- '153': ST
56
- '155': SW
57
- '79': GP1
58
- '80': GP2
59
- '78': GP
60
- '75': GB
61
- '77': GL
62
- '76': GK
63
- '70': ER
64
- '106': OR
65
- '122': OS
66
- '104': OB
67
- '105': OB3
68
- '101': MM
69
- '99': MF
70
- '172': Z
71
- '164': X2
72
- '168': X6
73
- '165': X3
74
- '160': X1
75
- '170': X8
76
- '85': IM
77
- '81': IA
78
- '83': IK
79
- '84': IL
80
- '88': IP
81
- '90': IT
82
- '95': IVT
83
- '91': IV
84
- '92': IVD
85
- '93': IVF
86
- '94': IVS
87
- '108': OR10
88
- '121': ORC
89
- '119': OR8
90
- '118': OR7
91
- '113': OR2
92
- '17': A20
93
- '18': A21
94
- '52': DL
95
- '82': ID
96
- '145': SC
97
- '96': IW
98
- '163': X12
99
- '42': AV6
100
- '9': A13
101
- '23': A26
102
- '103': NC1
103
- '38': AV2
104
- '15': A19
105
- '117': OR6
106
- '116': OR5
107
- '5': A1
108
- '29': A5
109
- '21': A24
110
- '27': A3
111
- '14': A18
112
- '22': A25
113
- '143': S92
114
- '16': A2
115
- '10': A14
116
- '8': A12
117
- '33': A9
118
- '32': A8
119
- '6': A10
120
- '31': A7
121
- '11': A15
122
- '7': A11
123
- '28': A4
124
- '30': A6
125
- '161': X10
126
- '69': EOR
127
- '68': EOP
128
- '67': EOL
129
- '66': EOB
130
- '13': A17
131
- '12': A16
132
- '36': AT2
133
- '35': AT1
134
- '41': AV5
135
- '86': IMP
136
- '132': S10
137
- '141': S8
138
- '136': S3
139
- '135': S2
140
- '142': S9
141
- '133': S11
142
- '138': S5
143
- '137': S4
144
- '131': S1
145
- '134': S12
146
- '19': A22
147
- '26': A29
148
- '25': A28
149
- '24': A27
150
- '107': OR1
151
- '120': OR9
152
- '169': X7
153
- '102': NC
154
- '62': ECR
155
- '61': ECL
156
- '60': ECB
157
- '20': A23
158
- '37': AV1
159
- '40': AV4
160
- '39': AV3
161
- '139': S6
162
- '140': S7
163
- '162': X11
164
- '48': D1
165
- '151': SLD
166
- '49': D2
167
- '50': D3
168
- '74': EYR
169
- '64': EEP
170
- '73': EYL
171
- '72': EYB
172
- '59': EAR
173
- '58': EAP
174
- '57': EAL
175
- '56': EAB
176
- '115': OR4
177
- '112': OR14
178
- '109': OR11
179
- '110': OR12
180
- '150': SL1
181
- '114': OR3
182
- '111': OR13
183
  splits:
184
  - name: train
185
  num_bytes: 154796
 
1
  ---
2
+ language:
3
+ - th
4
  dataset_info:
5
  features:
6
  - name: text
 
8
  - name: label
9
  dtype:
10
  class_label:
11
+ names:
12
+ '171': X9
13
+ '34': AAA
14
+ '4': 810
15
+ '63': EE
16
+ '65': EN
17
+ '3': 20
18
+ '100': MI
19
+ '51': DI
20
+ '147': SI
21
+ '87': IMW
22
+ '89': ISV
23
+ '1': 12
24
+ '156': SWC
25
+ '154': SUB
26
+ '2': 15
27
+ '157': TAK
28
+ '158': TIA
29
+ '98': KP
30
+ '167': X5
31
+ '166': X4
32
+ '97': KM
33
+ '54': DS
34
+ '71': EY
35
+ '130': RN
36
+ '55': DS1
37
+ '159': TN
38
+ '43': BP
39
+ '44': BP3
40
+ '45': BP4
41
+ '46': BP5
42
+ '47': BPS
43
+ '124': PK
44
+ '125': PKB
45
+ '126': PKL
46
+ '123': PEE
47
+ '53': DP
48
+ '128': PS
49
+ '127': PM
50
+ '149': SL
51
+ '0': 0
52
+ '148': SK
53
+ '152': SM
54
+ '146': SF
55
+ '129': PTL
56
+ '144': SB
57
+ '153': ST
58
+ '155': SW
59
+ '79': GP1
60
+ '80': GP2
61
+ '78': GP
62
+ '75': GB
63
+ '77': GL
64
+ '76': GK
65
+ '70': ER
66
+ '106': OR
67
+ '122': OS
68
+ '104': OB
69
+ '105': OB3
70
+ '101': MM
71
+ '99': MF
72
+ '172': Z
73
+ '164': X2
74
+ '168': X6
75
+ '165': X3
76
+ '160': X1
77
+ '170': X8
78
+ '85': IM
79
+ '81': IA
80
+ '83': IK
81
+ '84': IL
82
+ '88': IP
83
+ '90': IT
84
+ '95': IVT
85
+ '91': IV
86
+ '92': IVD
87
+ '93': IVF
88
+ '94': IVS
89
+ '108': OR10
90
+ '121': ORC
91
+ '119': OR8
92
+ '118': OR7
93
+ '113': OR2
94
+ '17': A20
95
+ '18': A21
96
+ '52': DL
97
+ '82': ID
98
+ '145': SC
99
+ '96': IW
100
+ '163': X12
101
+ '42': AV6
102
+ '9': A13
103
+ '23': A26
104
+ '103': NC1
105
+ '38': AV2
106
+ '15': A19
107
+ '117': OR6
108
+ '116': OR5
109
+ '5': A1
110
+ '29': A5
111
+ '21': A24
112
+ '27': A3
113
+ '14': A18
114
+ '22': A25
115
+ '143': S92
116
+ '16': A2
117
+ '10': A14
118
+ '8': A12
119
+ '33': A9
120
+ '32': A8
121
+ '6': A10
122
+ '31': A7
123
+ '11': A15
124
+ '7': A11
125
+ '28': A4
126
+ '30': A6
127
+ '161': X10
128
+ '69': EOR
129
+ '68': EOP
130
+ '67': EOL
131
+ '66': EOB
132
+ '13': A17
133
+ '12': A16
134
+ '36': AT2
135
+ '35': AT1
136
+ '41': AV5
137
+ '86': IMP
138
+ '132': S10
139
+ '141': S8
140
+ '136': S3
141
+ '135': S2
142
+ '142': S9
143
+ '133': S11
144
+ '138': S5
145
+ '137': S4
146
+ '131': S1
147
+ '134': S12
148
+ '19': A22
149
+ '26': A29
150
+ '25': A28
151
+ '24': A27
152
+ '107': OR1
153
+ '120': OR9
154
+ '169': X7
155
+ '102': NC
156
+ '62': ECR
157
+ '61': ECL
158
+ '60': ECB
159
+ '20': A23
160
+ '37': AV1
161
+ '40': AV4
162
+ '39': AV3
163
+ '139': S6
164
+ '140': S7
165
+ '162': X11
166
+ '48': D1
167
+ '151': SLD
168
+ '49': D2
169
+ '50': D3
170
+ '74': EYR
171
+ '64': EEP
172
+ '73': EYL
173
+ '72': EYB
174
+ '59': EAR
175
+ '58': EAP
176
+ '57': EAL
177
+ '56': EAB
178
+ '115': OR4
179
+ '112': OR14
180
+ '109': OR11
181
+ '110': OR12
182
+ '150': SL1
183
+ '114': OR3
184
+ '111': OR13
185
  splits:
186
  - name: train
187
  num_bytes: 154796