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Datasets:
SEACrowd
/
tico_19

Languages:
Indonesian
Arabic
Spanish
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Tags:
machine-translation
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1

Convert dataset to Parquet

#1
by evie-8 - opened
base: refs/heads/main
←
from: refs/pr/1
Discussion Files changed
+1726
-292
This view is limited to 50 files because it contains too many changes. See the raw diff here.
Files changed (50) hide show
  1. LICENSE +0 -1
  2. README.md +1486 -4
  3. __init__.py +0 -0
  4. requirements.txt +0 -1
  5. tico_19.py +0 -286
  6. tico_19_ara_ind_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  7. tico_19_ara_ind_source/train-00000-of-00001.parquet +3 -0
  8. tico_19_eng_ind_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  9. tico_19_eng_ind_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  10. tico_19_eng_ind_source/test-00000-of-00001.parquet +3 -0
  11. tico_19_eng_ind_source/validation-00000-of-00001.parquet +3 -0
  12. tico_19_eng_khm_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  13. tico_19_eng_khm_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  14. tico_19_eng_khm_source/test-00000-of-00001.parquet +3 -0
  15. tico_19_eng_khm_source/validation-00000-of-00001.parquet +3 -0
  16. tico_19_eng_mya_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  17. tico_19_eng_mya_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  18. tico_19_eng_mya_source/test-00000-of-00001.parquet +3 -0
  19. tico_19_eng_mya_source/validation-00000-of-00001.parquet +3 -0
  20. tico_19_eng_tam_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  21. tico_19_eng_tam_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  22. tico_19_eng_tam_source/test-00000-of-00001.parquet +3 -0
  23. tico_19_eng_tam_source/validation-00000-of-00001.parquet +3 -0
  24. tico_19_eng_tgl_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  25. tico_19_eng_tgl_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  26. tico_19_eng_tgl_source/test-00000-of-00001.parquet +3 -0
  27. tico_19_eng_tgl_source/validation-00000-of-00001.parquet +3 -0
  28. tico_19_eng_zlm_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  29. tico_19_eng_zlm_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  30. tico_19_eng_zlm_source/test-00000-of-00001.parquet +3 -0
  31. tico_19_eng_zlm_source/validation-00000-of-00001.parquet +3 -0
  32. tico_19_fra_ind_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  33. tico_19_fra_ind_source/train-00000-of-00001.parquet +3 -0
  34. tico_19_hin_ind_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  35. tico_19_hin_ind_source/train-00000-of-00001.parquet +3 -0
  36. tico_19_ind_ara_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  37. tico_19_ind_ara_source/train-00000-of-00001.parquet +3 -0
  38. tico_19_ind_eng_seacrowd_t2t/test-00000-of-00001.parquet +3 -0
  39. tico_19_ind_eng_seacrowd_t2t/validation-00000-of-00001.parquet +3 -0
  40. tico_19_ind_eng_source/test-00000-of-00001.parquet +3 -0
  41. tico_19_ind_eng_source/validation-00000-of-00001.parquet +3 -0
  42. tico_19_ind_fra_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  43. tico_19_ind_fra_source/train-00000-of-00001.parquet +3 -0
  44. tico_19_ind_hin_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  45. tico_19_ind_hin_source/train-00000-of-00001.parquet +3 -0
  46. tico_19_ind_por_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  47. tico_19_ind_por_source/train-00000-of-00001.parquet +3 -0
  48. tico_19_ind_rus_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
  49. tico_19_ind_rus_source/train-00000-of-00001.parquet +3 -0
  50. tico_19_ind_spa_seacrowd_t2t/train-00000-of-00001.parquet +3 -0
LICENSE DELETED
@@ -1 +0,0 @@
1
- CC0
 
 
README.md CHANGED
@@ -1,6 +1,5 @@
1
-
2
  ---
3
- language:
4
  - ind
5
  - ara
6
  - spa
@@ -16,10 +15,1493 @@ language:
16
  - tgl
17
  - tam
18
  pretty_name: Tico 19
19
- task_categories:
20
  - machine-translation
21
- tags:
22
  - machine-translation
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
23
  ---
24
 
25
  TICO-19 (Translation Initiative for COVID-19) is sampled from a variety of public sources containing
 
 
1
  ---
2
+ language:
3
  - ind
4
  - ara
5
  - spa
 
15
  - tgl
16
  - tam
17
  pretty_name: Tico 19
18
+ task_categories:
19
  - machine-translation
20
+ tags:
21
  - machine-translation
22
+ configs:
23
+ - config_name: tico_19_ara_ind_seacrowd_t2t
24
+ data_files:
25
+ - split: train
26
+ path: tico_19_ara_ind_seacrowd_t2t/train-*
27
+ - config_name: tico_19_ara_ind_source
28
+ data_files:
29
+ - split: train
30
+ path: tico_19_ara_ind_source/train-*
31
+ - config_name: tico_19_eng_ind_seacrowd_t2t
32
+ data_files:
33
+ - split: test
34
+ path: tico_19_eng_ind_seacrowd_t2t/test-*
35
+ - split: validation
36
+ path: tico_19_eng_ind_seacrowd_t2t/validation-*
37
+ - config_name: tico_19_eng_ind_source
38
+ data_files:
39
+ - split: test
40
+ path: tico_19_eng_ind_source/test-*
41
+ - split: validation
42
+ path: tico_19_eng_ind_source/validation-*
43
+ - config_name: tico_19_eng_khm_seacrowd_t2t
44
+ data_files:
45
+ - split: test
46
+ path: tico_19_eng_khm_seacrowd_t2t/test-*
47
+ - split: validation
48
+ path: tico_19_eng_khm_seacrowd_t2t/validation-*
49
+ - config_name: tico_19_eng_khm_source
50
+ data_files:
51
+ - split: test
52
+ path: tico_19_eng_khm_source/test-*
53
+ - split: validation
54
+ path: tico_19_eng_khm_source/validation-*
55
+ - config_name: tico_19_eng_mya_seacrowd_t2t
56
+ data_files:
57
+ - split: test
58
+ path: tico_19_eng_mya_seacrowd_t2t/test-*
59
+ - split: validation
60
+ path: tico_19_eng_mya_seacrowd_t2t/validation-*
61
+ - config_name: tico_19_eng_mya_source
62
+ data_files:
63
+ - split: test
64
+ path: tico_19_eng_mya_source/test-*
65
+ - split: validation
66
+ path: tico_19_eng_mya_source/validation-*
67
+ - config_name: tico_19_eng_tam_seacrowd_t2t
68
+ data_files:
69
+ - split: test
70
+ path: tico_19_eng_tam_seacrowd_t2t/test-*
71
+ - split: validation
72
+ path: tico_19_eng_tam_seacrowd_t2t/validation-*
73
+ - config_name: tico_19_eng_tam_source
74
+ data_files:
75
+ - split: test
76
+ path: tico_19_eng_tam_source/test-*
77
+ - split: validation
78
+ path: tico_19_eng_tam_source/validation-*
79
+ - config_name: tico_19_eng_tgl_seacrowd_t2t
80
+ data_files:
81
+ - split: test
82
+ path: tico_19_eng_tgl_seacrowd_t2t/test-*
83
+ - split: validation
84
+ path: tico_19_eng_tgl_seacrowd_t2t/validation-*
85
+ - config_name: tico_19_eng_tgl_source
86
+ data_files:
87
+ - split: test
88
+ path: tico_19_eng_tgl_source/test-*
89
+ - split: validation
90
+ path: tico_19_eng_tgl_source/validation-*
91
+ - config_name: tico_19_eng_zlm_seacrowd_t2t
92
+ data_files:
93
+ - split: test
94
+ path: tico_19_eng_zlm_seacrowd_t2t/test-*
95
+ - split: validation
96
+ path: tico_19_eng_zlm_seacrowd_t2t/validation-*
97
+ - config_name: tico_19_eng_zlm_source
98
+ data_files:
99
+ - split: test
100
+ path: tico_19_eng_zlm_source/test-*
101
+ - split: validation
102
+ path: tico_19_eng_zlm_source/validation-*
103
+ - config_name: tico_19_fra_ind_seacrowd_t2t
104
+ data_files:
105
+ - split: train
106
+ path: tico_19_fra_ind_seacrowd_t2t/train-*
107
+ - config_name: tico_19_fra_ind_source
108
+ data_files:
109
+ - split: train
110
+ path: tico_19_fra_ind_source/train-*
111
+ - config_name: tico_19_hin_ind_seacrowd_t2t
112
+ data_files:
113
+ - split: train
114
+ path: tico_19_hin_ind_seacrowd_t2t/train-*
115
+ - config_name: tico_19_hin_ind_source
116
+ data_files:
117
+ - split: train
118
+ path: tico_19_hin_ind_source/train-*
119
+ - config_name: tico_19_ind_ara_seacrowd_t2t
120
+ data_files:
121
+ - split: train
122
+ path: tico_19_ind_ara_seacrowd_t2t/train-*
123
+ - config_name: tico_19_ind_ara_source
124
+ data_files:
125
+ - split: train
126
+ path: tico_19_ind_ara_source/train-*
127
+ - config_name: tico_19_ind_eng_seacrowd_t2t
128
+ data_files:
129
+ - split: test
130
+ path: tico_19_ind_eng_seacrowd_t2t/test-*
131
+ - split: validation
132
+ path: tico_19_ind_eng_seacrowd_t2t/validation-*
133
+ - config_name: tico_19_ind_eng_source
134
+ data_files:
135
+ - split: test
136
+ path: tico_19_ind_eng_source/test-*
137
+ - split: validation
138
+ path: tico_19_ind_eng_source/validation-*
139
+ - config_name: tico_19_ind_fra_seacrowd_t2t
140
+ data_files:
141
+ - split: train
142
+ path: tico_19_ind_fra_seacrowd_t2t/train-*
143
+ - config_name: tico_19_ind_fra_source
144
+ data_files:
145
+ - split: train
146
+ path: tico_19_ind_fra_source/train-*
147
+ - config_name: tico_19_ind_hin_seacrowd_t2t
148
+ data_files:
149
+ - split: train
150
+ path: tico_19_ind_hin_seacrowd_t2t/train-*
151
+ - config_name: tico_19_ind_hin_source
152
+ data_files:
153
+ - split: train
154
+ path: tico_19_ind_hin_source/train-*
155
+ - config_name: tico_19_ind_por_seacrowd_t2t
156
+ data_files:
157
+ - split: train
158
+ path: tico_19_ind_por_seacrowd_t2t/train-*
159
+ - config_name: tico_19_ind_por_source
160
+ data_files:
161
+ - split: train
162
+ path: tico_19_ind_por_source/train-*
163
+ - config_name: tico_19_ind_rus_seacrowd_t2t
164
+ data_files:
165
+ - split: train
166
+ path: tico_19_ind_rus_seacrowd_t2t/train-*
167
+ - config_name: tico_19_ind_rus_source
168
+ data_files:
169
+ - split: train
170
+ path: tico_19_ind_rus_source/train-*
171
+ - config_name: tico_19_ind_spa_seacrowd_t2t
172
+ data_files:
173
+ - split: train
174
+ path: tico_19_ind_spa_seacrowd_t2t/train-*
175
+ - config_name: tico_19_ind_spa_source
176
+ data_files:
177
+ - split: train
178
+ path: tico_19_ind_spa_source/train-*
179
+ - config_name: tico_19_ind_zho_seacrowd_t2t
180
+ data_files:
181
+ - split: train
182
+ path: tico_19_ind_zho_seacrowd_t2t/train-*
183
+ - config_name: tico_19_ind_zho_source
184
+ data_files:
185
+ - split: train
186
+ path: tico_19_ind_zho_source/train-*
187
+ - config_name: tico_19_khm_eng_seacrowd_t2t
188
+ data_files:
189
+ - split: test
190
+ path: tico_19_khm_eng_seacrowd_t2t/test-*
191
+ - split: validation
192
+ path: tico_19_khm_eng_seacrowd_t2t/validation-*
193
+ - config_name: tico_19_khm_eng_source
194
+ data_files:
195
+ - split: test
196
+ path: tico_19_khm_eng_source/test-*
197
+ - split: validation
198
+ path: tico_19_khm_eng_source/validation-*
199
+ - config_name: tico_19_mya_eng_seacrowd_t2t
200
+ data_files:
201
+ - split: test
202
+ path: tico_19_mya_eng_seacrowd_t2t/test-*
203
+ - split: validation
204
+ path: tico_19_mya_eng_seacrowd_t2t/validation-*
205
+ - config_name: tico_19_mya_eng_source
206
+ data_files:
207
+ - split: test
208
+ path: tico_19_mya_eng_source/test-*
209
+ - split: validation
210
+ path: tico_19_mya_eng_source/validation-*
211
+ - config_name: tico_19_por_ind_seacrowd_t2t
212
+ data_files:
213
+ - split: train
214
+ path: tico_19_por_ind_seacrowd_t2t/train-*
215
+ - config_name: tico_19_por_ind_source
216
+ data_files:
217
+ - split: train
218
+ path: tico_19_por_ind_source/train-*
219
+ - config_name: tico_19_rus_ind_seacrowd_t2t
220
+ data_files:
221
+ - split: train
222
+ path: tico_19_rus_ind_seacrowd_t2t/train-*
223
+ - config_name: tico_19_rus_ind_source
224
+ data_files:
225
+ - split: train
226
+ path: tico_19_rus_ind_source/train-*
227
+ - config_name: tico_19_seacrowd_t2t
228
+ data_files:
229
+ - split: test
230
+ path: tico_19_seacrowd_t2t/test-*
231
+ - split: validation
232
+ path: tico_19_seacrowd_t2t/validation-*
233
+ - config_name: tico_19_source
234
+ data_files:
235
+ - split: test
236
+ path: tico_19_source/test-*
237
+ - split: validation
238
+ path: tico_19_source/validation-*
239
+ default: true
240
+ - config_name: tico_19_spa_ind_seacrowd_t2t
241
+ data_files:
242
+ - split: train
243
+ path: tico_19_spa_ind_seacrowd_t2t/train-*
244
+ - config_name: tico_19_spa_ind_source
245
+ data_files:
246
+ - split: train
247
+ path: tico_19_spa_ind_source/train-*
248
+ - config_name: tico_19_tam_eng_seacrowd_t2t
249
+ data_files:
250
+ - split: test
251
+ path: tico_19_tam_eng_seacrowd_t2t/test-*
252
+ - split: validation
253
+ path: tico_19_tam_eng_seacrowd_t2t/validation-*
254
+ - config_name: tico_19_tam_eng_source
255
+ data_files:
256
+ - split: test
257
+ path: tico_19_tam_eng_source/test-*
258
+ - split: validation
259
+ path: tico_19_tam_eng_source/validation-*
260
+ - config_name: tico_19_tgl_eng_seacrowd_t2t
261
+ data_files:
262
+ - split: test
263
+ path: tico_19_tgl_eng_seacrowd_t2t/test-*
264
+ - split: validation
265
+ path: tico_19_tgl_eng_seacrowd_t2t/validation-*
266
+ - config_name: tico_19_tgl_eng_source
267
+ data_files:
268
+ - split: test
269
+ path: tico_19_tgl_eng_source/test-*
270
+ - split: validation
271
+ path: tico_19_tgl_eng_source/validation-*
272
+ - config_name: tico_19_zho_ind_seacrowd_t2t
273
+ data_files:
274
+ - split: train
275
+ path: tico_19_zho_ind_seacrowd_t2t/train-*
276
+ - config_name: tico_19_zho_ind_source
277
+ data_files:
278
+ - split: train
279
+ path: tico_19_zho_ind_source/train-*
280
+ - config_name: tico_19_zlm_eng_seacrowd_t2t
281
+ data_files:
282
+ - split: test
283
+ path: tico_19_zlm_eng_seacrowd_t2t/test-*
284
+ - split: validation
285
+ path: tico_19_zlm_eng_seacrowd_t2t/validation-*
286
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  ---
1506
 
1507
  TICO-19 (Translation Initiative for COVID-19) is sampled from a variety of public sources containing
__init__.py DELETED
File without changes
requirements.txt DELETED
@@ -1 +0,0 @@
1
- seacrowd>=0.2.0
 
 
tico_19.py DELETED
@@ -1,286 +0,0 @@
1
- # coding=utf-8
2
- # Copyright 2022 The HuggingFace Datasets Authors and the current dataset script contributor.
3
- #
4
- # Licensed under the Apache License, Version 2.0 (the "License");
5
- # you may not use this file except in compliance with the License.
6
- # You may obtain a copy of the License at
7
- #
8
- # http://www.apache.org/licenses/LICENSE-2.0
9
- #
10
- # Unless required by applicable law or agreed to in writing, software
11
- # distributed under the License is distributed on an "AS IS" BASIS,
12
- # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13
- # See the License for the specific language governing permissions and
14
- # limitations under the License.
15
-
16
- import csv
17
- import os
18
- import re
19
- from pathlib import Path
20
- from typing import Dict, List, Tuple
21
-
22
- import datasets
23
- from translate.storage.tmx import tmxfile
24
-
25
- from seacrowd.utils import schemas
26
- from seacrowd.utils.configs import SEACrowdConfig
27
- from seacrowd.utils.constants import Tasks
28
-
29
- _CITATION = """\
30
- @inproceedings{anastasopoulos-etal-2020-tico,
31
- title = "{TICO}-19: the Translation Initiative for {CO}vid-19",
32
- author = {Anastasopoulos, Antonios and
33
- Cattelan, Alessandro and
34
- Dou, Zi-Yi and
35
- Federico, Marcello and
36
- Federmann, Christian and
37
- Genzel, Dmitriy and
38
- Guzm{\'a}n, Franscisco and
39
- Hu, Junjie and
40
- Hughes, Macduff and
41
- Koehn, Philipp and
42
- Lazar, Rosie and
43
- Lewis, Will and
44
- Neubig, Graham and
45
- Niu, Mengmeng and
46
- {\"O}ktem, Alp and
47
- Paquin, Eric and
48
- Tang, Grace and
49
- Tur, Sylwia},
50
- booktitle = "Proceedings of the 1st Workshop on {NLP} for {COVID}-19 (Part 2) at {EMNLP} 2020",
51
- month = dec,
52
- year = "2020",
53
- address = "Online",
54
- publisher = "Association for Computational Linguistics",
55
- url = "https://aclanthology.org/2020.nlpcovid19-2.5",
56
- doi = "10.18653/v1/2020.nlpcovid19-2.5",
57
- }
58
- """
59
-
60
- # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
61
- _LANGUAGES = ["ind", "ara", "spa", "fra", "hin", "por", "rus", "zho", "eng", "khm", "zlm", "mya", "tgl", "tam"]
62
- _LOCAL = False
63
- _SUPPORTED_LANG_PAIRS = [
64
- ("ind", "ara"),
65
- ("ind", "spa"),
66
- ("ind", "fra"),
67
- ("ind", "hin"),
68
- ("ind", "por"),
69
- ("ind", "rus"),
70
- ("ind", "zho"),
71
- ("ind", "eng"),
72
- ("ara", "ind"),
73
- ("spa", "ind"),
74
- ("fra", "ind"),
75
- ("hin", "ind"),
76
- ("por", "ind"),
77
- ("rus", "ind"),
78
- ("zho", "ind"),
79
- ("eng", "ind"),
80
- ("khm", "eng"),
81
- ("eng", "khm"),
82
- ("mya", "eng"),
83
- ("eng", "mya"),
84
- ("zlm", "eng"),
85
- ("eng", "zlm"),
86
- ("tgl", "eng"),
87
- ("eng", "tgl"),
88
- ("tam", "eng"),
89
- ("eng", "tam"),
90
- ]
91
-
92
- _LANG_CODE_MAP = {"ind": "id", "ara": "ar", "spa": "es-LA", "fra": "fr", "hin": "hi", "por": "pt-BR", "rus": "ru", "zho": "zh", "eng": "en", "khm": "km", "zlm": "ms", "mya": "my", "tgl": "tl", "tam": "ta"}
93
-
94
- _DEVTEST_LANG_PAIRS = [_LANG_CODE_MAP[source_lang] + "-" + _LANG_CODE_MAP[target_lang] for (source_lang, target_lang) in _SUPPORTED_LANG_PAIRS if (source_lang == "eng" or target_lang == "eng")]
95
-
96
- _DATASETNAME = "tico_19"
97
-
98
- _DESCRIPTION = """\
99
- TICO-19 (Translation Initiative for COVID-19) is sampled from a variety of public sources containing
100
- COVID-19 related content, representing different domains (e.g., news, wiki articles, and others). TICO-19
101
- includes 30 documents (3071 sentences, 69.7k words) translated from English into 36 languages: Amharic,
102
- Arabic (Modern Standard), Bengali, Chinese (Simplified), Dari, Dinka, Farsi, French (European), Hausa,
103
- Hindi, Indonesian, Kanuri, Khmer (Central), Kinyarwanda, Kurdish Kurmanji, Kurdish Sorani, Lingala,
104
- Luganda, Malay, Marathi, Myanmar, Nepali, Nigerian Fulfulde, Nuer, Oromo, Pashto, Portuguese (Brazilian),
105
- Russian, Somali, Spanish (Latin American), Swahili, Congolese Swahili, Tagalog, Tamil, Tigrinya, Urdu, Zulu.
106
- """
107
-
108
- _HOMEPAGE = "https://tico-19.github.io"
109
-
110
- _LICENSE = "CC0"
111
-
112
- _URLS = {"evaluation": "https://tico-19.github.io/data/tico19-testset.zip", "all": "https://tico-19.github.io/data/TM/all.{lang_pairs}.tmx.zip"}
113
-
114
- _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
115
-
116
- _SOURCE_VERSION = "1.0.0"
117
-
118
- _SEACROWD_VERSION = "2024.06.20"
119
-
120
-
121
- def seacrowd_config_constructor(lang_source, lang_target, schema, version):
122
- """Construct SEACrowdConfig with tico_19_{lang_source}_{lang_target}_{schema} as the name format"""
123
- if schema != "source" and schema != "seacrowd_t2t":
124
- raise ValueError(f"Invalid schema: {schema}")
125
-
126
- if lang_source == "" and lang_target == "":
127
- return SEACrowdConfig(
128
- name="tico_19_{schema}".format(schema=schema),
129
- version=datasets.Version(version),
130
- description="tico_19 {schema} schema for default language pair (eng-ind)".format(schema=schema),
131
- schema=schema,
132
- subset_id="tico_19",
133
- )
134
- else:
135
- return SEACrowdConfig(
136
- name="tico_19_{src}_{tgt}_{schema}".format(src=lang_source, tgt=lang_target, schema=schema),
137
- version=datasets.Version(version),
138
- description="tico_19 {schema} schema for {src}-{tgt} language pair".format(src=lang_source, tgt=lang_target, schema=schema),
139
- schema=schema,
140
- subset_id="tico_19",
141
- )
142
-
143
-
144
- class Tico19(datasets.GeneratorBasedBuilder):
145
- """TICO-19 is MT dataset sampled from a variety of public sources containing COVID-19 related content"""
146
-
147
- SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
148
- SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
149
-
150
- BUILDER_CONFIGS = [seacrowd_config_constructor(src, tgt, schema, version) for src, tgt in [("", "")] + _SUPPORTED_LANG_PAIRS for schema, version in zip(["source", "seacrowd_t2t"], [_SOURCE_VERSION, _SEACROWD_VERSION])]
151
-
152
- DEFAULT_CONFIG_NAME = "tico_19_source"
153
-
154
- def _info(self) -> datasets.DatasetInfo:
155
- if self.config.schema == "source":
156
- features = datasets.Features(
157
- {
158
- "sourceLang": datasets.Value("string"),
159
- "targetLang": datasets.Value("string"),
160
- "sourceString": datasets.Value("string"),
161
- "targetString": datasets.Value("string"),
162
- "stringID": datasets.Value("string"),
163
- "url": datasets.Value("string"),
164
- "license": datasets.Value("string"),
165
- "translatorId": datasets.Value("string"),
166
- }
167
- )
168
- elif self.config.schema == "seacrowd_t2t":
169
- features = schemas.text2text_features
170
-
171
- return datasets.DatasetInfo(
172
- description=_DESCRIPTION,
173
- features=features,
174
- homepage=_HOMEPAGE,
175
- license=_LICENSE,
176
- citation=_CITATION,
177
- )
178
-
179
- def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
180
- """Returns SplitGenerators."""
181
-
182
- try:
183
- lang_pairs_config = re.search("tico_19_(.+?)_(source|seacrowd_t2t)", self.config.name).group(1)
184
- lang_src, lang_tgt = lang_pairs_config.split("_")
185
- except AttributeError:
186
- lang_src, lang_tgt = "eng", "ind"
187
-
188
- lang_pairs = _LANG_CODE_MAP[lang_src] + "-" + _LANG_CODE_MAP[lang_tgt]
189
-
190
- # dev & test split only applicable to eng-[sea language] language pair
191
- if lang_pairs in set(_DEVTEST_LANG_PAIRS):
192
- lang_sea = _LANG_CODE_MAP[lang_tgt] if lang_src == "eng" else _LANG_CODE_MAP[lang_src]
193
-
194
- data_dir = dl_manager.download_and_extract(_URLS["evaluation"])
195
- return [
196
- datasets.SplitGenerator(
197
- name=datasets.Split.TEST,
198
- gen_kwargs={"filepath": os.path.join(data_dir, "tico19-testset", "test", f"test.en-{lang_sea}.tsv"), "lang_source": lang_src, "lang_target": lang_tgt},
199
- ),
200
- datasets.SplitGenerator(
201
- name=datasets.Split.VALIDATION,
202
- gen_kwargs={"filepath": os.path.join(data_dir, "tico19-testset", "dev", f"dev.en-{lang_sea}.tsv"), "lang_source": lang_src, "lang_target": lang_tgt},
203
- ),
204
- ]
205
- else:
206
- data_dir = dl_manager.download_and_extract(_URLS["all"].format(lang_pairs=lang_pairs))
207
- return [
208
- datasets.SplitGenerator(
209
- name=datasets.Split.TRAIN,
210
- gen_kwargs={"filepath": os.path.join(data_dir, f"all.{lang_pairs}.tmx"), "lang_source": lang_src, "lang_target": lang_tgt},
211
- )
212
- ]
213
-
214
- def _generate_examples(self, filepath: Path, lang_source: str, lang_target: str) -> Tuple[int, Dict]:
215
- """Yields examples as (key, example) tuples."""
216
-
217
- if self.config.schema == "source":
218
- # eng-[sea language] language pair dataset provided in .tsv format
219
- if f"{_LANG_CODE_MAP[lang_source]}-{_LANG_CODE_MAP[lang_target]}" in set(_DEVTEST_LANG_PAIRS):
220
- with open(filepath, encoding="utf-8") as f:
221
- reader = csv.reader(f, delimiter="\t", quotechar='"')
222
- for id_, row in enumerate(reader):
223
- if id_ == 0:
224
- continue
225
- if lang_source == "eng":
226
- source_lang = row[0]
227
- target_lang = row[1]
228
- source_string = row[2]
229
- target_string = row[3]
230
- else:
231
- source_lang = row[1]
232
- target_lang = row[0]
233
- source_string = row[3]
234
- target_string = row[2]
235
- yield id_, {
236
- "sourceLang": source_lang,
237
- "targetLang": target_lang,
238
- "sourceString": source_string,
239
- "targetString": target_string,
240
- "stringID": row[4],
241
- "url": row[5],
242
- "license": row[6],
243
- "translatorId": row[7],
244
- }
245
-
246
- # all language pairs except eng-ind dataset provided in .tmx format
247
- else:
248
- with open(filepath, "rb") as f:
249
- tmx_file = tmxfile(f)
250
-
251
- for id_, node in enumerate(tmx_file.unit_iter()):
252
- try:
253
- url = [text for text in node.xmlelement.itertext("prop")][0]
254
- except Exception:
255
- url = ""
256
- yield id_, {
257
- "sourceLang": _LANG_CODE_MAP[lang_source],
258
- "targetLang": _LANG_CODE_MAP[lang_target],
259
- "sourceString": node.source,
260
- "targetString": node.target,
261
- "stringID": node.getid(),
262
- "url": url,
263
- "license": "",
264
- "translatorId": "",
265
- }
266
-
267
- elif self.config.schema == "seacrowd_t2t":
268
- if f"{_LANG_CODE_MAP[lang_source]}-{_LANG_CODE_MAP[lang_target]}" in set(_DEVTEST_LANG_PAIRS):
269
- with open(filepath, encoding="utf-8") as f:
270
- reader = csv.reader(f, delimiter="\t", quotechar='"')
271
- for id_, row in enumerate(reader):
272
- if id_ == 0:
273
- continue
274
- if lang_source == "eng":
275
- source_string = row[2]
276
- target_string = row[3]
277
- else:
278
- source_string = row[3]
279
- target_string = row[2]
280
- yield id_, {"id": row[4], "text_1": source_string, "text_2": target_string, "text_1_name": lang_source, "text_2_name": lang_target}
281
- else:
282
- with open(filepath, "rb") as f:
283
- tmx_file = tmxfile(f)
284
-
285
- for id_, node in enumerate(tmx_file.unit_iter()):
286
- yield id_, {"id": node.getid(), "text_1": node.source, "text_2": node.target, "text_1_name": lang_source, "text_2_name": lang_target}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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