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update url base

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  1. dataset_infos.json +0 -0
  2. wmt22_african.py +286 -20
dataset_infos.json CHANGED
The diff for this file is too large to render. See raw diff
 
wmt22_african.py CHANGED
@@ -17,25 +17,282 @@
17
  import datasets
18
  import csv
19
 
20
- _CITATION = "" # TODO
21
 
22
 
23
  _DESCRIPTION = ""
24
 
25
- _HOMEPAGE = "https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html"
 
 
26
 
27
- _LICENSE = "https://github.com/facebookresearch/LASER/blob/main/data/wmt22_african/LICENSE"
 
 
28
 
29
 
30
- _LANGUAGE_PAIRS = [('afr', 'eng'), ('afr', 'som'), ('amh', 'eng'), ('amh', 'fra'), ('amh', 'nya'), ('amh', 'orm'), ('amh', 'sna'), ('amh', 'som'), ('amh', 'ssw'), ('amh', 'swh'), ('amh', 'tsn'), ('amh', 'tso'), ('amh', 'umb'), ('amh', 'xho'), ('amh', 'yor'), ('amh', 'zul'), ('eng', 'fuv'), ('eng', 'hau'), ('eng', 'ibo'), ('eng', 'kam'), ('eng', 'kin'), ('eng', 'lin'), ('eng', 'lug'), ('eng', 'luo'), ('eng', 'nso'), ('eng', 'nya'), ('eng', 'orm'), ('eng', 'sna'), ('eng', 'som'), ('eng', 'ssw'), ('eng', 'swh'), ('eng', 'tsn'), ('eng', 'tso'), ('eng', 'umb'), ('eng', 'wol'), ('eng', 'xho'), ('eng', 'yor'), ('eng', 'zul'), ('fra', 'hau'), ('fra', 'ibo'), ('fra', 'kam'), ('fra', 'kin'), ('fra', 'lin'), ('fra', 'lug'), ('fra', 'luo'), ('fra', 'nso'), ('fra', 'nya'), ('fra', 'orm'), ('fra', 'som'), ('fra', 'ssw'), ('fra', 'swh'), ('fra', 'tsn'), ('fra', 'tso'), ('fra', 'umb'), ('fra', 'wol'), ('fra', 'xho'), ('fra', 'zul'), ('fuv', 'hau'), ('fuv', 'ibo'), ('fuv', 'kam'), ('fuv', 'kin'), ('fuv', 'lug'), ('fuv', 'luo'), ('fuv', 'nso'), ('fuv', 'nya'), ('fuv', 'orm'), ('fuv', 'sna'), ('fuv', 'som'), ('fuv', 'ssw'), ('fuv', 'swh'), ('fuv', 'tsn'), ('fuv', 'tso'), ('fuv', 'umb'), ('fuv', 'xho'), ('fuv', 'yor'), ('fuv', 'zul'), ('hau', 'ibo'), ('hau', 'kam'), ('hau', 'kin'), ('hau', 'lug'), ('hau', 'luo'), ('hau', 'nso'), ('hau', 'nya'), ('hau', 'orm'), ('hau', 'sna'), ('hau', 'som'), ('hau', 'ssw'), ('hau', 'swh'), ('hau', 'tsn'), ('hau', 'tso'), ('hau', 'umb'), ('hau', 'xho'), ('hau', 'yor'), ('hau', 'zul'), ('ibo', 'kam'), ('ibo', 'kin'), ('ibo', 'lug'), ('ibo', 'luo'), ('ibo', 'nso'), ('ibo', 'nya'), ('ibo', 'orm'), ('ibo', 'sna'), ('ibo', 'som'), ('ibo', 'ssw'), ('ibo', 'swh'), ('ibo', 'tsn'), ('ibo', 'tso'), ('ibo', 'umb'), ('ibo', 'xho'), ('ibo', 'yor'), ('ibo', 'zul'), ('kam', 'kin'), ('kam', 'lug'), ('kam', 'luo'), ('kam', 'nso'), ('kam', 'nya'), ('kam', 'orm'), ('kam', 'sna'), ('kam', 'som'), ('kam', 'ssw'), ('kam', 'swh'), ('kam', 'tsn'), ('kam', 'tso'), ('kam', 'umb'), ('kam', 'xho'), ('kam', 'yor'), ('kam', 'zul'), ('kin', 'lug'), ('kin', 'luo'), ('kin', 'nso'), ('kin', 'nya'), ('kin', 'orm'), ('kin', 'sna'), ('kin', 'som'), ('kin', 'ssw'), ('kin', 'swh'), ('kin', 'tsn'), ('kin', 'tso'), ('kin', 'umb'), ('kin', 'xho'), ('kin', 'yor'), ('kin', 'zul'), ('lug', 'luo'), ('lug', 'nso'), ('lug', 'nya'), ('lug', 'orm'), ('lug', 'sna'), ('lug', 'som'), ('lug', 'ssw'), ('lug', 'swh'), ('lug', 'tsn'), ('lug', 'tso'), ('lug', 'umb'), ('lug', 'xho'), ('lug', 'yor'), ('lug', 'zul'), ('luo', 'nso'), ('luo', 'nya'), ('luo', 'orm'), ('luo', 'sna'), ('luo', 'som'), ('luo', 'ssw'), ('luo', 'swh'), ('luo', 'tsn'), ('luo', 'tso'), ('luo', 'umb'), ('luo', 'xho'), ('luo', 'yor'), ('luo', 'zul'), ('nso', 'nya'), ('nso', 'orm'), ('nso', 'sna'), ('nso', 'som'), ('nso', 'ssw'), ('nso', 'swh'), ('nso', 'tsn'), ('nso', 'tso'), ('nso', 'umb'), ('nso', 'xho'), ('nso', 'yor'), ('nso', 'zul'), ('nya', 'orm'), ('nya', 'sna'), ('nya', 'som'), ('nya', 'ssw'), ('nya', 'swh'), ('nya', 'tsn'), ('nya', 'tso'), ('nya', 'umb'), ('nya', 'xho'), ('nya', 'yor'), ('nya', 'zul'), ('orm', 'sna'), ('orm', 'som'), ('orm', 'ssw'), ('orm', 'swh'), ('orm', 'tsn'), ('orm', 'tso'), ('orm', 'umb'), ('orm', 'xho'), ('orm', 'yor'), ('orm', 'zul'), ('sna', 'som'), ('sna', 'ssw'), ('sna', 'swh'), ('sna', 'tsn'), ('sna', 'tso'), ('sna', 'umb'), ('sna', 'xho'), ('sna', 'yor'), ('sna', 'zul'), ('som', 'ssw'), ('som', 'swh'), ('som', 'tsn'), ('som', 'tso'), ('som', 'umb'), ('som', 'wol'), ('som', 'xho'), ('som', 'yor'), ('som', 'zul'), ('ssw', 'swh'), ('ssw', 'tsn'), ('ssw', 'tso'), ('ssw', 'umb'), ('ssw', 'xho'), ('ssw', 'yor'), ('ssw', 'zul'), ('swh', 'tsn'), ('swh', 'tso'), ('swh', 'umb'), ('swh', 'xho'), ('swh', 'yor'), ('swh', 'zul'), ('tsn', 'tso'), ('tsn', 'umb'), ('tsn', 'xho'), ('tsn', 'yor'), ('tsn', 'zul'), ('tso', 'umb'), ('tso', 'xho'), ('tso', 'yor'), ('tso', 'zul'), ('umb', 'xho'), ('umb', 'yor'), ('umb', 'zul'), ('xho', 'yor'), ('xho', 'zul'), ('yor', 'zul')]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
31
 
32
- # _URL_BASE = "https://huggingface.co/datasets/allenai/wmt22_african/tree/main/"
33
- _URL_BASE = "./"
34
- _URLs = {f"{src_lg}-{trg_lg}": f"{_URL_BASE}wmt22_african_{src_lg}-{trg_lg}.gz" for src_lg, trg_lg in _LANGUAGE_PAIRS}
 
 
 
35
 
36
 
37
  class Wmt22AfricanTaskConfig(datasets.BuilderConfig):
38
  """BuilderConfig for WMT22 African Shared Task."""
 
39
  def __init__(self, src_lg, tgt_lg, **kwargs):
40
  super(Wmt22AfricanTaskConfig, self).__init__(**kwargs)
41
  self.src_lg = src_lg
@@ -48,7 +305,7 @@ class Wmt22African(datasets.GeneratorBasedBuilder):
48
  BUILDER_CONFIGS = [
49
  Wmt22AfricanTaskConfig(
50
  name=f"{src_lg}-{tgt_lg}",
51
- version=datasets.Version("1.1.0"),
52
  description=f"WMT 2022 African Languages: {src_lg} - {tgt_lg}",
53
  src_lg=src_lg,
54
  tgt_lg=tgt_lg,
@@ -61,10 +318,12 @@ class Wmt22African(datasets.GeneratorBasedBuilder):
61
  # define feature types
62
  features = datasets.Features(
63
  {
64
- 'translation': datasets.Translation(languages=(self.config.src_lg, self.config.tgt_lg)),
65
- 'laser_score':datasets.Value("float32"),
66
- 'source_sentence_lid':datasets.Value("float32"),
67
- 'target_sentence_lid':datasets.Value("float32"),
 
 
68
  }
69
  )
70
 
@@ -79,9 +338,11 @@ class Wmt22African(datasets.GeneratorBasedBuilder):
79
 
80
  def _split_generators(self, dl_manager):
81
  """Returns SplitGenerators."""
82
- pair = f"{self.config.src_lg}-{self.config.tgt_lg}" # string identifier for language pair
83
- url = _URLs[pair] # url for download of pair-specific file
84
- data_file = dl_manager.download_and_extract(url) # extract downloaded data and store path in data_file
 
 
85
 
86
  return [
87
  datasets.SplitGenerator(
@@ -90,10 +351,10 @@ class Wmt22African(datasets.GeneratorBasedBuilder):
90
  "filepath": data_file,
91
  "source_lg": self.config.src_lg,
92
  "target_lg": self.config.tgt_lg,
93
- }
94
  )
95
  ]
96
-
97
  def _generate_examples(self, filepath, source_lg, target_lg):
98
  with open(filepath, encoding="utf-8") as f:
99
  # reader = csv.reader(f, delimiter="\t")
@@ -101,17 +362,22 @@ class Wmt22African(datasets.GeneratorBasedBuilder):
101
  try:
102
  datarow = example.split("\t")
103
  row = {}
104
- row["translation"] = {source_lg : datarow[0], target_lg: datarow[1]} # create translation json
 
 
 
105
  scores = datarow[2].split(" ")
106
  row["laser_score"] = float(scores[0])
107
  row["source_sentence_lid"] = float(scores[1])
108
  row["target_sentence_lid"] = float(scores[2])
109
- row = {k: None if not v else v for k, v in row.items()} # replace empty values
 
 
110
  except:
111
  print(datarow)
112
  raise
113
  yield id_, row
114
 
 
115
  # to test the script, go to the root folder of the repo (wmt22_african) and run:
116
  # datasets-cli test wmt22_african --save_infos --all_configs
117
-
 
17
  import datasets
18
  import csv
19
 
20
+ _CITATION = "" # TODO
21
 
22
 
23
  _DESCRIPTION = ""
24
 
25
+ _HOMEPAGE = (
26
+ "https://www.statmt.org/wmt22/large-scale-multilingual-translation-task.html"
27
+ )
28
 
29
+ _LICENSE = (
30
+ "https://github.com/facebookresearch/LASER/blob/main/data/wmt22_african/LICENSE"
31
+ )
32
 
33
 
34
+ _LANGUAGE_PAIRS = [
35
+ ("afr", "eng"),
36
+ ("afr", "som"),
37
+ ("amh", "eng"),
38
+ ("amh", "fra"),
39
+ ("amh", "nya"),
40
+ ("amh", "orm"),
41
+ ("amh", "sna"),
42
+ ("amh", "som"),
43
+ ("amh", "ssw"),
44
+ ("amh", "swh"),
45
+ ("amh", "tsn"),
46
+ ("amh", "tso"),
47
+ ("amh", "umb"),
48
+ ("amh", "xho"),
49
+ ("amh", "yor"),
50
+ ("amh", "zul"),
51
+ ("eng", "fuv"),
52
+ ("eng", "hau"),
53
+ ("eng", "ibo"),
54
+ ("eng", "kam"),
55
+ ("eng", "kin"),
56
+ ("eng", "lin"),
57
+ ("eng", "lug"),
58
+ ("eng", "luo"),
59
+ ("eng", "nso"),
60
+ ("eng", "nya"),
61
+ ("eng", "orm"),
62
+ ("eng", "sna"),
63
+ ("eng", "som"),
64
+ ("eng", "ssw"),
65
+ ("eng", "swh"),
66
+ ("eng", "tsn"),
67
+ ("eng", "tso"),
68
+ ("eng", "umb"),
69
+ ("eng", "wol"),
70
+ ("eng", "xho"),
71
+ ("eng", "yor"),
72
+ ("eng", "zul"),
73
+ ("fra", "hau"),
74
+ ("fra", "ibo"),
75
+ ("fra", "kam"),
76
+ ("fra", "kin"),
77
+ ("fra", "lin"),
78
+ ("fra", "lug"),
79
+ ("fra", "luo"),
80
+ ("fra", "nso"),
81
+ ("fra", "nya"),
82
+ ("fra", "orm"),
83
+ ("fra", "som"),
84
+ ("fra", "ssw"),
85
+ ("fra", "swh"),
86
+ ("fra", "tsn"),
87
+ ("fra", "tso"),
88
+ ("fra", "umb"),
89
+ ("fra", "wol"),
90
+ ("fra", "xho"),
91
+ ("fra", "zul"),
92
+ ("fuv", "hau"),
93
+ ("fuv", "ibo"),
94
+ ("fuv", "kam"),
95
+ ("fuv", "kin"),
96
+ ("fuv", "lug"),
97
+ ("fuv", "luo"),
98
+ ("fuv", "nso"),
99
+ ("fuv", "nya"),
100
+ ("fuv", "orm"),
101
+ ("fuv", "sna"),
102
+ ("fuv", "som"),
103
+ ("fuv", "ssw"),
104
+ ("fuv", "swh"),
105
+ ("fuv", "tsn"),
106
+ ("fuv", "tso"),
107
+ ("fuv", "umb"),
108
+ ("fuv", "xho"),
109
+ ("fuv", "yor"),
110
+ ("fuv", "zul"),
111
+ ("hau", "ibo"),
112
+ ("hau", "kam"),
113
+ ("hau", "kin"),
114
+ ("hau", "lug"),
115
+ ("hau", "luo"),
116
+ ("hau", "nso"),
117
+ ("hau", "nya"),
118
+ ("hau", "orm"),
119
+ ("hau", "sna"),
120
+ ("hau", "som"),
121
+ ("hau", "ssw"),
122
+ ("hau", "swh"),
123
+ ("hau", "tsn"),
124
+ ("hau", "tso"),
125
+ ("hau", "umb"),
126
+ ("hau", "xho"),
127
+ ("hau", "yor"),
128
+ ("hau", "zul"),
129
+ ("ibo", "kam"),
130
+ ("ibo", "kin"),
131
+ ("ibo", "lug"),
132
+ ("ibo", "luo"),
133
+ ("ibo", "nso"),
134
+ ("ibo", "nya"),
135
+ ("ibo", "orm"),
136
+ ("ibo", "sna"),
137
+ ("ibo", "som"),
138
+ ("ibo", "ssw"),
139
+ ("ibo", "swh"),
140
+ ("ibo", "tsn"),
141
+ ("ibo", "tso"),
142
+ ("ibo", "umb"),
143
+ ("ibo", "xho"),
144
+ ("ibo", "yor"),
145
+ ("ibo", "zul"),
146
+ ("kam", "kin"),
147
+ ("kam", "lug"),
148
+ ("kam", "luo"),
149
+ ("kam", "nso"),
150
+ ("kam", "nya"),
151
+ ("kam", "orm"),
152
+ ("kam", "sna"),
153
+ ("kam", "som"),
154
+ ("kam", "ssw"),
155
+ ("kam", "swh"),
156
+ ("kam", "tsn"),
157
+ ("kam", "tso"),
158
+ ("kam", "umb"),
159
+ ("kam", "xho"),
160
+ ("kam", "yor"),
161
+ ("kam", "zul"),
162
+ ("kin", "lug"),
163
+ ("kin", "luo"),
164
+ ("kin", "nso"),
165
+ ("kin", "nya"),
166
+ ("kin", "orm"),
167
+ ("kin", "sna"),
168
+ ("kin", "som"),
169
+ ("kin", "ssw"),
170
+ ("kin", "swh"),
171
+ ("kin", "tsn"),
172
+ ("kin", "tso"),
173
+ ("kin", "umb"),
174
+ ("kin", "xho"),
175
+ ("kin", "yor"),
176
+ ("kin", "zul"),
177
+ ("lug", "luo"),
178
+ ("lug", "nso"),
179
+ ("lug", "nya"),
180
+ ("lug", "orm"),
181
+ ("lug", "sna"),
182
+ ("lug", "som"),
183
+ ("lug", "ssw"),
184
+ ("lug", "swh"),
185
+ ("lug", "tsn"),
186
+ ("lug", "tso"),
187
+ ("lug", "umb"),
188
+ ("lug", "xho"),
189
+ ("lug", "yor"),
190
+ ("lug", "zul"),
191
+ ("luo", "nso"),
192
+ ("luo", "nya"),
193
+ ("luo", "orm"),
194
+ ("luo", "sna"),
195
+ ("luo", "som"),
196
+ ("luo", "ssw"),
197
+ ("luo", "swh"),
198
+ ("luo", "tsn"),
199
+ ("luo", "tso"),
200
+ ("luo", "umb"),
201
+ ("luo", "xho"),
202
+ ("luo", "yor"),
203
+ ("luo", "zul"),
204
+ ("nso", "nya"),
205
+ ("nso", "orm"),
206
+ ("nso", "sna"),
207
+ ("nso", "som"),
208
+ ("nso", "ssw"),
209
+ ("nso", "swh"),
210
+ ("nso", "tsn"),
211
+ ("nso", "tso"),
212
+ ("nso", "umb"),
213
+ ("nso", "xho"),
214
+ ("nso", "yor"),
215
+ ("nso", "zul"),
216
+ ("nya", "orm"),
217
+ ("nya", "sna"),
218
+ ("nya", "som"),
219
+ ("nya", "ssw"),
220
+ ("nya", "swh"),
221
+ ("nya", "tsn"),
222
+ ("nya", "tso"),
223
+ ("nya", "umb"),
224
+ ("nya", "xho"),
225
+ ("nya", "yor"),
226
+ ("nya", "zul"),
227
+ ("orm", "sna"),
228
+ ("orm", "som"),
229
+ ("orm", "ssw"),
230
+ ("orm", "swh"),
231
+ ("orm", "tsn"),
232
+ ("orm", "tso"),
233
+ ("orm", "umb"),
234
+ ("orm", "xho"),
235
+ ("orm", "yor"),
236
+ ("orm", "zul"),
237
+ ("sna", "som"),
238
+ ("sna", "ssw"),
239
+ ("sna", "swh"),
240
+ ("sna", "tsn"),
241
+ ("sna", "tso"),
242
+ ("sna", "umb"),
243
+ ("sna", "xho"),
244
+ ("sna", "yor"),
245
+ ("sna", "zul"),
246
+ ("som", "ssw"),
247
+ ("som", "swh"),
248
+ ("som", "tsn"),
249
+ ("som", "tso"),
250
+ ("som", "umb"),
251
+ ("som", "wol"),
252
+ ("som", "xho"),
253
+ ("som", "yor"),
254
+ ("som", "zul"),
255
+ ("ssw", "swh"),
256
+ ("ssw", "tsn"),
257
+ ("ssw", "tso"),
258
+ ("ssw", "umb"),
259
+ ("ssw", "xho"),
260
+ ("ssw", "yor"),
261
+ ("ssw", "zul"),
262
+ ("swh", "tsn"),
263
+ ("swh", "tso"),
264
+ ("swh", "umb"),
265
+ ("swh", "xho"),
266
+ ("swh", "yor"),
267
+ ("swh", "zul"),
268
+ ("tsn", "tso"),
269
+ ("tsn", "umb"),
270
+ ("tsn", "xho"),
271
+ ("tsn", "yor"),
272
+ ("tsn", "zul"),
273
+ ("tso", "umb"),
274
+ ("tso", "xho"),
275
+ ("tso", "yor"),
276
+ ("tso", "zul"),
277
+ ("umb", "xho"),
278
+ ("umb", "yor"),
279
+ ("umb", "zul"),
280
+ ("xho", "yor"),
281
+ ("xho", "zul"),
282
+ ("yor", "zul"),
283
+ ]
284
 
285
+ _URL_BASE = "https://huggingface.co/datasets/allenai/wmt22_african/resolve/main/"
286
+
287
+ _URLs = {
288
+ f"{src_lg}-{trg_lg}": f"{_URL_BASE}wmt22_african_{src_lg}-{trg_lg}.gz"
289
+ for src_lg, trg_lg in _LANGUAGE_PAIRS
290
+ }
291
 
292
 
293
  class Wmt22AfricanTaskConfig(datasets.BuilderConfig):
294
  """BuilderConfig for WMT22 African Shared Task."""
295
+
296
  def __init__(self, src_lg, tgt_lg, **kwargs):
297
  super(Wmt22AfricanTaskConfig, self).__init__(**kwargs)
298
  self.src_lg = src_lg
 
305
  BUILDER_CONFIGS = [
306
  Wmt22AfricanTaskConfig(
307
  name=f"{src_lg}-{tgt_lg}",
308
+ version=datasets.Version("1.0.0"),
309
  description=f"WMT 2022 African Languages: {src_lg} - {tgt_lg}",
310
  src_lg=src_lg,
311
  tgt_lg=tgt_lg,
 
318
  # define feature types
319
  features = datasets.Features(
320
  {
321
+ "translation": datasets.Translation(
322
+ languages=(self.config.src_lg, self.config.tgt_lg)
323
+ ),
324
+ "laser_score": datasets.Value("float32"),
325
+ "source_sentence_lid": datasets.Value("float32"),
326
+ "target_sentence_lid": datasets.Value("float32"),
327
  }
328
  )
329
 
 
338
 
339
  def _split_generators(self, dl_manager):
340
  """Returns SplitGenerators."""
341
+ pair = f"{self.config.src_lg}-{self.config.tgt_lg}" # string identifier for language pair
342
+ url = _URLs[pair] # url for download of pair-specific file
343
+ data_file = dl_manager.download_and_extract(
344
+ url
345
+ ) # extract downloaded data and store path in data_file
346
 
347
  return [
348
  datasets.SplitGenerator(
 
351
  "filepath": data_file,
352
  "source_lg": self.config.src_lg,
353
  "target_lg": self.config.tgt_lg,
354
+ },
355
  )
356
  ]
357
+
358
  def _generate_examples(self, filepath, source_lg, target_lg):
359
  with open(filepath, encoding="utf-8") as f:
360
  # reader = csv.reader(f, delimiter="\t")
 
362
  try:
363
  datarow = example.split("\t")
364
  row = {}
365
+ row["translation"] = {
366
+ source_lg: datarow[0],
367
+ target_lg: datarow[1],
368
+ } # create translation json
369
  scores = datarow[2].split(" ")
370
  row["laser_score"] = float(scores[0])
371
  row["source_sentence_lid"] = float(scores[1])
372
  row["target_sentence_lid"] = float(scores[2])
373
+ row = {
374
+ k: None if not v else v for k, v in row.items()
375
+ } # replace empty values
376
  except:
377
  print(datarow)
378
  raise
379
  yield id_, row
380
 
381
+
382
  # to test the script, go to the root folder of the repo (wmt22_african) and run:
383
  # datasets-cli test wmt22_african --save_infos --all_configs