Initial commit
Browse files- .gitattributes +1 -0
- README.md +1696 -0
- benchmark_results.txt +296 -0
- benchmark_translations.zip +0 -0
- config.json +41 -0
- generation_config.json +16 -0
- model.safetensors +3 -0
- pytorch_model.bin +3 -0
- source.spm +3 -0
- special_tokens_map.json +1 -0
- target.spm +3 -0
- tokenizer_config.json +1 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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+
*.spm filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
@@ -0,0 +1,1696 @@
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|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
language:
|
4 |
+
- abi
|
5 |
+
- acd
|
6 |
+
- ade
|
7 |
+
- adj
|
8 |
+
- ak
|
9 |
+
- akp
|
10 |
+
- ann
|
11 |
+
- anv
|
12 |
+
- atg
|
13 |
+
- avn
|
14 |
+
- bas
|
15 |
+
- bav
|
16 |
+
- bba
|
17 |
+
- beh
|
18 |
+
- bem
|
19 |
+
- bfd
|
20 |
+
- bfo
|
21 |
+
- bim
|
22 |
+
- biv
|
23 |
+
- bkv
|
24 |
+
- blh
|
25 |
+
- bmq
|
26 |
+
- bmv
|
27 |
+
- bom
|
28 |
+
- bov
|
29 |
+
- box
|
30 |
+
- bqj
|
31 |
+
- bss
|
32 |
+
- btt
|
33 |
+
- bud
|
34 |
+
- bwu
|
35 |
+
- cce
|
36 |
+
- cjk
|
37 |
+
- cko
|
38 |
+
- cme
|
39 |
+
- csk
|
40 |
+
- cwe
|
41 |
+
- cwt
|
42 |
+
- dag
|
43 |
+
- de
|
44 |
+
- dga
|
45 |
+
- dgi
|
46 |
+
- dig
|
47 |
+
- dop
|
48 |
+
- dug
|
49 |
+
- dyi
|
50 |
+
- dyo
|
51 |
+
- ee
|
52 |
+
- efi
|
53 |
+
- en
|
54 |
+
- es
|
55 |
+
- fal
|
56 |
+
- ff
|
57 |
+
- fon
|
58 |
+
- fr
|
59 |
+
- gej
|
60 |
+
- gkn
|
61 |
+
- gng
|
62 |
+
- gog
|
63 |
+
- gud
|
64 |
+
- gur
|
65 |
+
- guw
|
66 |
+
- gux
|
67 |
+
- gwr
|
68 |
+
- hag
|
69 |
+
- hay
|
70 |
+
- heh
|
71 |
+
- hz
|
72 |
+
- ife
|
73 |
+
- ig
|
74 |
+
- iri
|
75 |
+
- izr
|
76 |
+
- jbu
|
77 |
+
- jmc
|
78 |
+
- kam
|
79 |
+
- kbp
|
80 |
+
- kdc
|
81 |
+
- kdl
|
82 |
+
- kdn
|
83 |
+
- ken
|
84 |
+
- keu
|
85 |
+
- kez
|
86 |
+
- kg
|
87 |
+
- ki
|
88 |
+
- kia
|
89 |
+
- kj
|
90 |
+
- kki
|
91 |
+
- kkj
|
92 |
+
- kma
|
93 |
+
- kmb
|
94 |
+
- ksb
|
95 |
+
- ktj
|
96 |
+
- kub
|
97 |
+
- kus
|
98 |
+
- kyf
|
99 |
+
- las
|
100 |
+
- lee
|
101 |
+
- lef
|
102 |
+
- lem
|
103 |
+
- lg
|
104 |
+
- lia
|
105 |
+
- lip
|
106 |
+
- ln
|
107 |
+
- lob
|
108 |
+
- lon
|
109 |
+
- lua
|
110 |
+
- luy
|
111 |
+
- maw
|
112 |
+
- mcp
|
113 |
+
- mcu
|
114 |
+
- mda
|
115 |
+
- mfq
|
116 |
+
- mgo
|
117 |
+
- mnf
|
118 |
+
- mnh
|
119 |
+
- mor
|
120 |
+
- mos
|
121 |
+
- muh
|
122 |
+
- myk
|
123 |
+
- myx
|
124 |
+
- mzk
|
125 |
+
- mzm
|
126 |
+
- mzw
|
127 |
+
- ncu
|
128 |
+
- nd
|
129 |
+
- ndz
|
130 |
+
- nfr
|
131 |
+
- ng
|
132 |
+
- nhu
|
133 |
+
- nim
|
134 |
+
- nin
|
135 |
+
- nmz
|
136 |
+
- nnb
|
137 |
+
- nnh
|
138 |
+
- nnw
|
139 |
+
- nr
|
140 |
+
- nso
|
141 |
+
- ntm
|
142 |
+
- ntr
|
143 |
+
- nuj
|
144 |
+
- nwb
|
145 |
+
- ny
|
146 |
+
- nyf
|
147 |
+
- nyn
|
148 |
+
- nyo
|
149 |
+
- nyy
|
150 |
+
- nzi
|
151 |
+
- oku
|
152 |
+
- old
|
153 |
+
- ozm
|
154 |
+
- pai
|
155 |
+
- pbl
|
156 |
+
- pkb
|
157 |
+
- pt
|
158 |
+
- rim
|
159 |
+
- rn
|
160 |
+
- rw
|
161 |
+
- seh
|
162 |
+
- sg
|
163 |
+
- sig
|
164 |
+
- sil
|
165 |
+
- sld
|
166 |
+
- sn
|
167 |
+
- snw
|
168 |
+
- soy
|
169 |
+
- spp
|
170 |
+
- ss
|
171 |
+
- st
|
172 |
+
- suk
|
173 |
+
- sw
|
174 |
+
- sxb
|
175 |
+
- tbz
|
176 |
+
- tem
|
177 |
+
- thk
|
178 |
+
- tik
|
179 |
+
- tlj
|
180 |
+
- tn
|
181 |
+
- toh
|
182 |
+
- toi
|
183 |
+
- tpm
|
184 |
+
- ts
|
185 |
+
- tsw
|
186 |
+
- tum
|
187 |
+
- tw
|
188 |
+
- umb
|
189 |
+
- vag
|
190 |
+
- ve
|
191 |
+
- vmw
|
192 |
+
- vun
|
193 |
+
- wmw
|
194 |
+
- wo
|
195 |
+
- wob
|
196 |
+
- xh
|
197 |
+
- xog
|
198 |
+
- xon
|
199 |
+
- xrb
|
200 |
+
- xsm
|
201 |
+
- xuo
|
202 |
+
- yam
|
203 |
+
- yaz
|
204 |
+
- yo
|
205 |
+
- zu
|
206 |
+
|
207 |
+
tags:
|
208 |
+
- translation
|
209 |
+
- opus-mt-tc-bible
|
210 |
+
|
211 |
+
license: apache-2.0
|
212 |
+
model-index:
|
213 |
+
- name: opus-mt-tc-bible-big-alv-deu_eng_fra_por_spa
|
214 |
+
results:
|
215 |
+
- task:
|
216 |
+
name: Translation bem-eng
|
217 |
+
type: translation
|
218 |
+
args: bem-eng
|
219 |
+
dataset:
|
220 |
+
name: flores200-devtest
|
221 |
+
type: flores200-devtest
|
222 |
+
args: bem-eng
|
223 |
+
metrics:
|
224 |
+
- name: BLEU
|
225 |
+
type: bleu
|
226 |
+
value: 13.1
|
227 |
+
- name: chr-F
|
228 |
+
type: chrf
|
229 |
+
value: 0.37071
|
230 |
+
- task:
|
231 |
+
name: Translation ibo-eng
|
232 |
+
type: translation
|
233 |
+
args: ibo-eng
|
234 |
+
dataset:
|
235 |
+
name: flores200-devtest
|
236 |
+
type: flores200-devtest
|
237 |
+
args: ibo-eng
|
238 |
+
metrics:
|
239 |
+
- name: BLEU
|
240 |
+
type: bleu
|
241 |
+
value: 14.6
|
242 |
+
- name: chr-F
|
243 |
+
type: chrf
|
244 |
+
value: 0.38994
|
245 |
+
- task:
|
246 |
+
name: Translation kin-eng
|
247 |
+
type: translation
|
248 |
+
args: kin-eng
|
249 |
+
dataset:
|
250 |
+
name: flores200-devtest
|
251 |
+
type: flores200-devtest
|
252 |
+
args: kin-eng
|
253 |
+
metrics:
|
254 |
+
- name: BLEU
|
255 |
+
type: bleu
|
256 |
+
value: 18.1
|
257 |
+
- name: chr-F
|
258 |
+
type: chrf
|
259 |
+
value: 0.41964
|
260 |
+
- task:
|
261 |
+
name: Translation kin-fra
|
262 |
+
type: translation
|
263 |
+
args: kin-fra
|
264 |
+
dataset:
|
265 |
+
name: flores200-devtest
|
266 |
+
type: flores200-devtest
|
267 |
+
args: kin-fra
|
268 |
+
metrics:
|
269 |
+
- name: BLEU
|
270 |
+
type: bleu
|
271 |
+
value: 10.7
|
272 |
+
- name: chr-F
|
273 |
+
type: chrf
|
274 |
+
value: 0.34887
|
275 |
+
- task:
|
276 |
+
name: Translation kon-eng
|
277 |
+
type: translation
|
278 |
+
args: kon-eng
|
279 |
+
dataset:
|
280 |
+
name: flores200-devtest
|
281 |
+
type: flores200-devtest
|
282 |
+
args: kon-eng
|
283 |
+
metrics:
|
284 |
+
- name: BLEU
|
285 |
+
type: bleu
|
286 |
+
value: 11.3
|
287 |
+
- name: chr-F
|
288 |
+
type: chrf
|
289 |
+
value: 0.34262
|
290 |
+
- task:
|
291 |
+
name: Translation lin-eng
|
292 |
+
type: translation
|
293 |
+
args: lin-eng
|
294 |
+
dataset:
|
295 |
+
name: flores200-devtest
|
296 |
+
type: flores200-devtest
|
297 |
+
args: lin-eng
|
298 |
+
metrics:
|
299 |
+
- name: BLEU
|
300 |
+
type: bleu
|
301 |
+
value: 14.2
|
302 |
+
- name: chr-F
|
303 |
+
type: chrf
|
304 |
+
value: 0.37728
|
305 |
+
- task:
|
306 |
+
name: Translation lin-fra
|
307 |
+
type: translation
|
308 |
+
args: lin-fra
|
309 |
+
dataset:
|
310 |
+
name: flores200-devtest
|
311 |
+
type: flores200-devtest
|
312 |
+
args: lin-fra
|
313 |
+
metrics:
|
314 |
+
- name: BLEU
|
315 |
+
type: bleu
|
316 |
+
value: 11.0
|
317 |
+
- name: chr-F
|
318 |
+
type: chrf
|
319 |
+
value: 0.35052
|
320 |
+
- task:
|
321 |
+
name: Translation lug-eng
|
322 |
+
type: translation
|
323 |
+
args: lug-eng
|
324 |
+
dataset:
|
325 |
+
name: flores200-devtest
|
326 |
+
type: flores200-devtest
|
327 |
+
args: lug-eng
|
328 |
+
metrics:
|
329 |
+
- name: BLEU
|
330 |
+
type: bleu
|
331 |
+
value: 10.6
|
332 |
+
- name: chr-F
|
333 |
+
type: chrf
|
334 |
+
value: 0.31805
|
335 |
+
- task:
|
336 |
+
name: Translation nso-eng
|
337 |
+
type: translation
|
338 |
+
args: nso-eng
|
339 |
+
dataset:
|
340 |
+
name: flores200-devtest
|
341 |
+
type: flores200-devtest
|
342 |
+
args: nso-eng
|
343 |
+
metrics:
|
344 |
+
- name: BLEU
|
345 |
+
type: bleu
|
346 |
+
value: 22.3
|
347 |
+
- name: chr-F
|
348 |
+
type: chrf
|
349 |
+
value: 0.45662
|
350 |
+
- task:
|
351 |
+
name: Translation nso-fra
|
352 |
+
type: translation
|
353 |
+
args: nso-fra
|
354 |
+
dataset:
|
355 |
+
name: flores200-devtest
|
356 |
+
type: flores200-devtest
|
357 |
+
args: nso-fra
|
358 |
+
metrics:
|
359 |
+
- name: BLEU
|
360 |
+
type: bleu
|
361 |
+
value: 10.5
|
362 |
+
- name: chr-F
|
363 |
+
type: chrf
|
364 |
+
value: 0.33732
|
365 |
+
- task:
|
366 |
+
name: Translation nya-eng
|
367 |
+
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368 |
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369 |
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dataset:
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370 |
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name: flores200-devtest
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371 |
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type: flores200-devtest
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372 |
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args: nya-eng
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373 |
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metrics:
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374 |
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375 |
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type: bleu
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376 |
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377 |
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378 |
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type: chrf
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379 |
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value: 0.39887
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380 |
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- task:
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381 |
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name: Translation run-eng
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382 |
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type: translation
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383 |
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args: run-eng
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384 |
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dataset:
|
385 |
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name: flores200-devtest
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386 |
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387 |
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388 |
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metrics:
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389 |
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390 |
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391 |
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392 |
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393 |
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394 |
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value: 0.39846
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395 |
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- task:
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396 |
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name: Translation run-fra
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397 |
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type: translation
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398 |
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399 |
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dataset:
|
400 |
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name: flores200-devtest
|
401 |
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type: flores200-devtest
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402 |
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403 |
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metrics:
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404 |
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405 |
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406 |
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407 |
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408 |
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409 |
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value: 0.34845
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410 |
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- task:
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411 |
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name: Translation run-por
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412 |
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413 |
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414 |
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dataset:
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415 |
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416 |
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417 |
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418 |
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metrics:
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419 |
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420 |
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421 |
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422 |
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423 |
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424 |
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value: 0.33836
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425 |
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- task:
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426 |
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name: Translation sna-eng
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427 |
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428 |
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429 |
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dataset:
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430 |
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431 |
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432 |
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433 |
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434 |
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435 |
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436 |
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437 |
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438 |
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439 |
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440 |
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- task:
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441 |
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name: Translation sna-fra
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442 |
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443 |
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444 |
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dataset:
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445 |
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446 |
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447 |
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448 |
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449 |
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450 |
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451 |
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452 |
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453 |
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454 |
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455 |
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- task:
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456 |
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457 |
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458 |
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459 |
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460 |
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461 |
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462 |
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463 |
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464 |
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465 |
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466 |
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467 |
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468 |
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469 |
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470 |
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- task:
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471 |
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472 |
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473 |
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args: sot-eng
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474 |
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dataset:
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475 |
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476 |
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477 |
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478 |
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metrics:
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479 |
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480 |
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481 |
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482 |
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483 |
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484 |
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485 |
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- task:
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486 |
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487 |
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type: translation
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488 |
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args: sot-fra
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489 |
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dataset:
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490 |
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491 |
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492 |
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493 |
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metrics:
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494 |
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495 |
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496 |
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497 |
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498 |
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499 |
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value: 0.34608
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500 |
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- task:
|
501 |
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name: Translation ssw-eng
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502 |
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type: translation
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503 |
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args: ssw-eng
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504 |
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dataset:
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505 |
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name: flores200-devtest
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506 |
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507 |
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args: ssw-eng
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508 |
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metrics:
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509 |
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510 |
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511 |
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512 |
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513 |
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514 |
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515 |
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- task:
|
516 |
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name: Translation swh-deu
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517 |
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type: translation
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518 |
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args: swh-deu
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519 |
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dataset:
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520 |
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521 |
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type: flores200-devtest
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522 |
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args: swh-deu
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523 |
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metrics:
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524 |
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525 |
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526 |
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527 |
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528 |
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529 |
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value: 0.38892
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530 |
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- task:
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531 |
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name: Translation swh-eng
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532 |
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533 |
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args: swh-eng
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534 |
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dataset:
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535 |
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536 |
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537 |
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538 |
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metrics:
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539 |
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540 |
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541 |
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542 |
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543 |
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544 |
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545 |
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546 |
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547 |
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548 |
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549 |
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dataset:
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550 |
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551 |
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552 |
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553 |
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554 |
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555 |
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556 |
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557 |
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558 |
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559 |
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560 |
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561 |
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562 |
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563 |
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564 |
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565 |
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566 |
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567 |
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568 |
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569 |
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570 |
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571 |
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572 |
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573 |
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574 |
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575 |
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576 |
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577 |
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578 |
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579 |
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dataset:
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580 |
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581 |
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582 |
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583 |
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584 |
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585 |
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586 |
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587 |
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588 |
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589 |
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590 |
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591 |
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592 |
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593 |
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594 |
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dataset:
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595 |
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596 |
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597 |
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598 |
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599 |
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600 |
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601 |
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602 |
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603 |
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604 |
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605 |
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606 |
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607 |
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608 |
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609 |
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610 |
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611 |
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612 |
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613 |
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614 |
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615 |
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616 |
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617 |
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618 |
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619 |
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620 |
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621 |
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622 |
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623 |
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args: tso-eng
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624 |
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dataset:
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625 |
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626 |
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627 |
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628 |
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629 |
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630 |
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631 |
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632 |
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633 |
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634 |
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635 |
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636 |
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637 |
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638 |
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639 |
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dataset:
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640 |
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641 |
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642 |
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643 |
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644 |
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645 |
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646 |
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647 |
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648 |
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649 |
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650 |
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- task:
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651 |
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652 |
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653 |
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654 |
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dataset:
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655 |
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656 |
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657 |
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658 |
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659 |
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660 |
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661 |
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662 |
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663 |
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664 |
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665 |
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- task:
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666 |
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667 |
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668 |
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669 |
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dataset:
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670 |
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671 |
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672 |
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673 |
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674 |
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675 |
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676 |
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677 |
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678 |
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679 |
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680 |
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- task:
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681 |
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682 |
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683 |
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684 |
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dataset:
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685 |
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686 |
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687 |
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688 |
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689 |
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690 |
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691 |
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692 |
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693 |
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694 |
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695 |
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- task:
|
696 |
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697 |
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type: translation
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698 |
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args: zul-eng
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699 |
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dataset:
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700 |
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701 |
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702 |
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703 |
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704 |
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705 |
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706 |
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707 |
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708 |
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709 |
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710 |
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- task:
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711 |
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712 |
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713 |
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args: zul-fra
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714 |
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dataset:
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715 |
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716 |
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717 |
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718 |
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719 |
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720 |
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721 |
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722 |
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723 |
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724 |
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725 |
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- task:
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726 |
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727 |
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728 |
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729 |
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dataset:
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730 |
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731 |
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732 |
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733 |
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734 |
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735 |
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736 |
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737 |
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738 |
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739 |
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740 |
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- task:
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741 |
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742 |
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type: translation
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743 |
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args: ibo-eng
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744 |
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dataset:
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745 |
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746 |
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747 |
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748 |
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749 |
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750 |
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751 |
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752 |
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753 |
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754 |
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755 |
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- task:
|
756 |
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757 |
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type: translation
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758 |
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args: nya-eng
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759 |
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dataset:
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760 |
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761 |
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762 |
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args: nya eng devtest
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763 |
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764 |
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765 |
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766 |
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767 |
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768 |
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769 |
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770 |
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- task:
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771 |
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772 |
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773 |
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args: swh-por
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774 |
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dataset:
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775 |
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776 |
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777 |
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args: swh por devtest
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778 |
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779 |
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780 |
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781 |
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782 |
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783 |
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784 |
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785 |
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786 |
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787 |
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788 |
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789 |
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790 |
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791 |
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792 |
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793 |
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794 |
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795 |
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796 |
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797 |
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798 |
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799 |
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800 |
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801 |
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802 |
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803 |
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804 |
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dataset:
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805 |
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806 |
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807 |
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808 |
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809 |
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810 |
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811 |
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812 |
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813 |
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814 |
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815 |
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816 |
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817 |
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818 |
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819 |
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dataset:
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820 |
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821 |
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822 |
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823 |
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824 |
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825 |
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826 |
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827 |
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828 |
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829 |
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830 |
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831 |
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832 |
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833 |
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834 |
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dataset:
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835 |
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836 |
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837 |
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838 |
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839 |
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840 |
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841 |
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842 |
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843 |
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844 |
+
value: 0.33394
|
845 |
+
- task:
|
846 |
+
name: Translation ibo-eng
|
847 |
+
type: translation
|
848 |
+
args: ibo-eng
|
849 |
+
dataset:
|
850 |
+
name: ntrex128
|
851 |
+
type: ntrex128
|
852 |
+
args: ibo-eng
|
853 |
+
metrics:
|
854 |
+
- name: BLEU
|
855 |
+
type: bleu
|
856 |
+
value: 17.4
|
857 |
+
- name: chr-F
|
858 |
+
type: chrf
|
859 |
+
value: 0.42002
|
860 |
+
- task:
|
861 |
+
name: Translation ibo-fra
|
862 |
+
type: translation
|
863 |
+
args: ibo-fra
|
864 |
+
dataset:
|
865 |
+
name: ntrex128
|
866 |
+
type: ntrex128
|
867 |
+
args: ibo-fra
|
868 |
+
metrics:
|
869 |
+
- name: BLEU
|
870 |
+
type: bleu
|
871 |
+
value: 10.3
|
872 |
+
- name: chr-F
|
873 |
+
type: chrf
|
874 |
+
value: 0.34993
|
875 |
+
- task:
|
876 |
+
name: Translation ibo-spa
|
877 |
+
type: translation
|
878 |
+
args: ibo-spa
|
879 |
+
dataset:
|
880 |
+
name: ntrex128
|
881 |
+
type: ntrex128
|
882 |
+
args: ibo-spa
|
883 |
+
metrics:
|
884 |
+
- name: BLEU
|
885 |
+
type: bleu
|
886 |
+
value: 11.7
|
887 |
+
- name: chr-F
|
888 |
+
type: chrf
|
889 |
+
value: 0.36108
|
890 |
+
- task:
|
891 |
+
name: Translation kin-eng
|
892 |
+
type: translation
|
893 |
+
args: kin-eng
|
894 |
+
dataset:
|
895 |
+
name: ntrex128
|
896 |
+
type: ntrex128
|
897 |
+
args: kin-eng
|
898 |
+
metrics:
|
899 |
+
- name: BLEU
|
900 |
+
type: bleu
|
901 |
+
value: 16.9
|
902 |
+
- name: chr-F
|
903 |
+
type: chrf
|
904 |
+
value: 0.42892
|
905 |
+
- task:
|
906 |
+
name: Translation kin-fra
|
907 |
+
type: translation
|
908 |
+
args: kin-fra
|
909 |
+
dataset:
|
910 |
+
name: ntrex128
|
911 |
+
type: ntrex128
|
912 |
+
args: kin-fra
|
913 |
+
metrics:
|
914 |
+
- name: BLEU
|
915 |
+
type: bleu
|
916 |
+
value: 10.7
|
917 |
+
- name: chr-F
|
918 |
+
type: chrf
|
919 |
+
value: 0.35842
|
920 |
+
- task:
|
921 |
+
name: Translation kin-por
|
922 |
+
type: translation
|
923 |
+
args: kin-por
|
924 |
+
dataset:
|
925 |
+
name: ntrex128
|
926 |
+
type: ntrex128
|
927 |
+
args: kin-por
|
928 |
+
metrics:
|
929 |
+
- name: BLEU
|
930 |
+
type: bleu
|
931 |
+
value: 10.0
|
932 |
+
- name: chr-F
|
933 |
+
type: chrf
|
934 |
+
value: 0.34399
|
935 |
+
- task:
|
936 |
+
name: Translation kin-spa
|
937 |
+
type: translation
|
938 |
+
args: kin-spa
|
939 |
+
dataset:
|
940 |
+
name: ntrex128
|
941 |
+
type: ntrex128
|
942 |
+
args: kin-spa
|
943 |
+
metrics:
|
944 |
+
- name: BLEU
|
945 |
+
type: bleu
|
946 |
+
value: 12.5
|
947 |
+
- name: chr-F
|
948 |
+
type: chrf
|
949 |
+
value: 0.37224
|
950 |
+
- task:
|
951 |
+
name: Translation nde-eng
|
952 |
+
type: translation
|
953 |
+
args: nde-eng
|
954 |
+
dataset:
|
955 |
+
name: ntrex128
|
956 |
+
type: ntrex128
|
957 |
+
args: nde-eng
|
958 |
+
metrics:
|
959 |
+
- name: BLEU
|
960 |
+
type: bleu
|
961 |
+
value: 13.8
|
962 |
+
- name: chr-F
|
963 |
+
type: chrf
|
964 |
+
value: 0.39640
|
965 |
+
- task:
|
966 |
+
name: Translation nde-spa
|
967 |
+
type: translation
|
968 |
+
args: nde-spa
|
969 |
+
dataset:
|
970 |
+
name: ntrex128
|
971 |
+
type: ntrex128
|
972 |
+
args: nde-spa
|
973 |
+
metrics:
|
974 |
+
- name: BLEU
|
975 |
+
type: bleu
|
976 |
+
value: 10.0
|
977 |
+
- name: chr-F
|
978 |
+
type: chrf
|
979 |
+
value: 0.34638
|
980 |
+
- task:
|
981 |
+
name: Translation nso-eng
|
982 |
+
type: translation
|
983 |
+
args: nso-eng
|
984 |
+
dataset:
|
985 |
+
name: ntrex128
|
986 |
+
type: ntrex128
|
987 |
+
args: nso-eng
|
988 |
+
metrics:
|
989 |
+
- name: BLEU
|
990 |
+
type: bleu
|
991 |
+
value: 17.0
|
992 |
+
- name: chr-F
|
993 |
+
type: chrf
|
994 |
+
value: 0.42278
|
995 |
+
- task:
|
996 |
+
name: Translation nso-spa
|
997 |
+
type: translation
|
998 |
+
args: nso-spa
|
999 |
+
dataset:
|
1000 |
+
name: ntrex128
|
1001 |
+
type: ntrex128
|
1002 |
+
args: nso-spa
|
1003 |
+
metrics:
|
1004 |
+
- name: BLEU
|
1005 |
+
type: bleu
|
1006 |
+
value: 11.3
|
1007 |
+
- name: chr-F
|
1008 |
+
type: chrf
|
1009 |
+
value: 0.35027
|
1010 |
+
- task:
|
1011 |
+
name: Translation nya-eng
|
1012 |
+
type: translation
|
1013 |
+
args: nya-eng
|
1014 |
+
dataset:
|
1015 |
+
name: ntrex128
|
1016 |
+
type: ntrex128
|
1017 |
+
args: nya-eng
|
1018 |
+
metrics:
|
1019 |
+
- name: BLEU
|
1020 |
+
type: bleu
|
1021 |
+
value: 19.2
|
1022 |
+
- name: chr-F
|
1023 |
+
type: chrf
|
1024 |
+
value: 0.42702
|
1025 |
+
- task:
|
1026 |
+
name: Translation nya-fra
|
1027 |
+
type: translation
|
1028 |
+
args: nya-fra
|
1029 |
+
dataset:
|
1030 |
+
name: ntrex128
|
1031 |
+
type: ntrex128
|
1032 |
+
args: nya-fra
|
1033 |
+
metrics:
|
1034 |
+
- name: BLEU
|
1035 |
+
type: bleu
|
1036 |
+
value: 10.7
|
1037 |
+
- name: chr-F
|
1038 |
+
type: chrf
|
1039 |
+
value: 0.35503
|
1040 |
+
- task:
|
1041 |
+
name: Translation nya-por
|
1042 |
+
type: translation
|
1043 |
+
args: nya-por
|
1044 |
+
dataset:
|
1045 |
+
name: ntrex128
|
1046 |
+
type: ntrex128
|
1047 |
+
args: nya-por
|
1048 |
+
metrics:
|
1049 |
+
- name: BLEU
|
1050 |
+
type: bleu
|
1051 |
+
value: 10.4
|
1052 |
+
- name: chr-F
|
1053 |
+
type: chrf
|
1054 |
+
value: 0.33912
|
1055 |
+
- task:
|
1056 |
+
name: Translation nya-spa
|
1057 |
+
type: translation
|
1058 |
+
args: nya-spa
|
1059 |
+
dataset:
|
1060 |
+
name: ntrex128
|
1061 |
+
type: ntrex128
|
1062 |
+
args: nya-spa
|
1063 |
+
metrics:
|
1064 |
+
- name: BLEU
|
1065 |
+
type: bleu
|
1066 |
+
value: 12.5
|
1067 |
+
- name: chr-F
|
1068 |
+
type: chrf
|
1069 |
+
value: 0.36355
|
1070 |
+
- task:
|
1071 |
+
name: Translation ssw-eng
|
1072 |
+
type: translation
|
1073 |
+
args: ssw-eng
|
1074 |
+
dataset:
|
1075 |
+
name: ntrex128
|
1076 |
+
type: ntrex128
|
1077 |
+
args: ssw-eng
|
1078 |
+
metrics:
|
1079 |
+
- name: BLEU
|
1080 |
+
type: bleu
|
1081 |
+
value: 18.0
|
1082 |
+
- name: chr-F
|
1083 |
+
type: chrf
|
1084 |
+
value: 0.43041
|
1085 |
+
- task:
|
1086 |
+
name: Translation ssw-spa
|
1087 |
+
type: translation
|
1088 |
+
args: ssw-spa
|
1089 |
+
dataset:
|
1090 |
+
name: ntrex128
|
1091 |
+
type: ntrex128
|
1092 |
+
args: ssw-spa
|
1093 |
+
metrics:
|
1094 |
+
- name: BLEU
|
1095 |
+
type: bleu
|
1096 |
+
value: 11.4
|
1097 |
+
- name: chr-F
|
1098 |
+
type: chrf
|
1099 |
+
value: 0.35392
|
1100 |
+
- task:
|
1101 |
+
name: Translation swa-deu
|
1102 |
+
type: translation
|
1103 |
+
args: swa-deu
|
1104 |
+
dataset:
|
1105 |
+
name: ntrex128
|
1106 |
+
type: ntrex128
|
1107 |
+
args: swa-deu
|
1108 |
+
metrics:
|
1109 |
+
- name: BLEU
|
1110 |
+
type: bleu
|
1111 |
+
value: 11.2
|
1112 |
+
- name: chr-F
|
1113 |
+
type: chrf
|
1114 |
+
value: 0.39475
|
1115 |
+
- task:
|
1116 |
+
name: Translation swa-eng
|
1117 |
+
type: translation
|
1118 |
+
args: swa-eng
|
1119 |
+
dataset:
|
1120 |
+
name: ntrex128
|
1121 |
+
type: ntrex128
|
1122 |
+
args: swa-eng
|
1123 |
+
metrics:
|
1124 |
+
- name: BLEU
|
1125 |
+
type: bleu
|
1126 |
+
value: 30.4
|
1127 |
+
- name: chr-F
|
1128 |
+
type: chrf
|
1129 |
+
value: 0.54492
|
1130 |
+
- task:
|
1131 |
+
name: Translation swa-fra
|
1132 |
+
type: translation
|
1133 |
+
args: swa-fra
|
1134 |
+
dataset:
|
1135 |
+
name: ntrex128
|
1136 |
+
type: ntrex128
|
1137 |
+
args: swa-fra
|
1138 |
+
metrics:
|
1139 |
+
- name: BLEU
|
1140 |
+
type: bleu
|
1141 |
+
value: 15.6
|
1142 |
+
- name: chr-F
|
1143 |
+
type: chrf
|
1144 |
+
value: 0.43008
|
1145 |
+
- task:
|
1146 |
+
name: Translation swa-por
|
1147 |
+
type: translation
|
1148 |
+
args: swa-por
|
1149 |
+
dataset:
|
1150 |
+
name: ntrex128
|
1151 |
+
type: ntrex128
|
1152 |
+
args: swa-por
|
1153 |
+
metrics:
|
1154 |
+
- name: BLEU
|
1155 |
+
type: bleu
|
1156 |
+
value: 15.4
|
1157 |
+
- name: chr-F
|
1158 |
+
type: chrf
|
1159 |
+
value: 0.42343
|
1160 |
+
- task:
|
1161 |
+
name: Translation swa-spa
|
1162 |
+
type: translation
|
1163 |
+
args: swa-spa
|
1164 |
+
dataset:
|
1165 |
+
name: ntrex128
|
1166 |
+
type: ntrex128
|
1167 |
+
args: swa-spa
|
1168 |
+
metrics:
|
1169 |
+
- name: BLEU
|
1170 |
+
type: bleu
|
1171 |
+
value: 18.9
|
1172 |
+
- name: chr-F
|
1173 |
+
type: chrf
|
1174 |
+
value: 0.44892
|
1175 |
+
- task:
|
1176 |
+
name: Translation tsn-eng
|
1177 |
+
type: translation
|
1178 |
+
args: tsn-eng
|
1179 |
+
dataset:
|
1180 |
+
name: ntrex128
|
1181 |
+
type: ntrex128
|
1182 |
+
args: tsn-eng
|
1183 |
+
metrics:
|
1184 |
+
- name: BLEU
|
1185 |
+
type: bleu
|
1186 |
+
value: 20.1
|
1187 |
+
- name: chr-F
|
1188 |
+
type: chrf
|
1189 |
+
value: 0.44944
|
1190 |
+
- task:
|
1191 |
+
name: Translation tsn-fra
|
1192 |
+
type: translation
|
1193 |
+
args: tsn-fra
|
1194 |
+
dataset:
|
1195 |
+
name: ntrex128
|
1196 |
+
type: ntrex128
|
1197 |
+
args: tsn-fra
|
1198 |
+
metrics:
|
1199 |
+
- name: BLEU
|
1200 |
+
type: bleu
|
1201 |
+
value: 11.5
|
1202 |
+
- name: chr-F
|
1203 |
+
type: chrf
|
1204 |
+
value: 0.36584
|
1205 |
+
- task:
|
1206 |
+
name: Translation tsn-por
|
1207 |
+
type: translation
|
1208 |
+
args: tsn-por
|
1209 |
+
dataset:
|
1210 |
+
name: ntrex128
|
1211 |
+
type: ntrex128
|
1212 |
+
args: tsn-por
|
1213 |
+
metrics:
|
1214 |
+
- name: BLEU
|
1215 |
+
type: bleu
|
1216 |
+
value: 11.1
|
1217 |
+
- name: chr-F
|
1218 |
+
type: chrf
|
1219 |
+
value: 0.35774
|
1220 |
+
- task:
|
1221 |
+
name: Translation tsn-spa
|
1222 |
+
type: translation
|
1223 |
+
args: tsn-spa
|
1224 |
+
dataset:
|
1225 |
+
name: ntrex128
|
1226 |
+
type: ntrex128
|
1227 |
+
args: tsn-spa
|
1228 |
+
metrics:
|
1229 |
+
- name: BLEU
|
1230 |
+
type: bleu
|
1231 |
+
value: 13.8
|
1232 |
+
- name: chr-F
|
1233 |
+
type: chrf
|
1234 |
+
value: 0.38149
|
1235 |
+
- task:
|
1236 |
+
name: Translation ven-eng
|
1237 |
+
type: translation
|
1238 |
+
args: ven-eng
|
1239 |
+
dataset:
|
1240 |
+
name: ntrex128
|
1241 |
+
type: ntrex128
|
1242 |
+
args: ven-eng
|
1243 |
+
metrics:
|
1244 |
+
- name: BLEU
|
1245 |
+
type: bleu
|
1246 |
+
value: 12.7
|
1247 |
+
- name: chr-F
|
1248 |
+
type: chrf
|
1249 |
+
value: 0.36848
|
1250 |
+
- task:
|
1251 |
+
name: Translation xho-eng
|
1252 |
+
type: translation
|
1253 |
+
args: xho-eng
|
1254 |
+
dataset:
|
1255 |
+
name: ntrex128
|
1256 |
+
type: ntrex128
|
1257 |
+
args: xho-eng
|
1258 |
+
metrics:
|
1259 |
+
- name: BLEU
|
1260 |
+
type: bleu
|
1261 |
+
value: 21.8
|
1262 |
+
- name: chr-F
|
1263 |
+
type: chrf
|
1264 |
+
value: 0.46636
|
1265 |
+
- task:
|
1266 |
+
name: Translation xho-fra
|
1267 |
+
type: translation
|
1268 |
+
args: xho-fra
|
1269 |
+
dataset:
|
1270 |
+
name: ntrex128
|
1271 |
+
type: ntrex128
|
1272 |
+
args: xho-fra
|
1273 |
+
metrics:
|
1274 |
+
- name: BLEU
|
1275 |
+
type: bleu
|
1276 |
+
value: 11.6
|
1277 |
+
- name: chr-F
|
1278 |
+
type: chrf
|
1279 |
+
value: 0.36905
|
1280 |
+
- task:
|
1281 |
+
name: Translation xho-por
|
1282 |
+
type: translation
|
1283 |
+
args: xho-por
|
1284 |
+
dataset:
|
1285 |
+
name: ntrex128
|
1286 |
+
type: ntrex128
|
1287 |
+
args: xho-por
|
1288 |
+
metrics:
|
1289 |
+
- name: BLEU
|
1290 |
+
type: bleu
|
1291 |
+
value: 10.6
|
1292 |
+
- name: chr-F
|
1293 |
+
type: chrf
|
1294 |
+
value: 0.35687
|
1295 |
+
- task:
|
1296 |
+
name: Translation xho-spa
|
1297 |
+
type: translation
|
1298 |
+
args: xho-spa
|
1299 |
+
dataset:
|
1300 |
+
name: ntrex128
|
1301 |
+
type: ntrex128
|
1302 |
+
args: xho-spa
|
1303 |
+
metrics:
|
1304 |
+
- name: BLEU
|
1305 |
+
type: bleu
|
1306 |
+
value: 13.3
|
1307 |
+
- name: chr-F
|
1308 |
+
type: chrf
|
1309 |
+
value: 0.38176
|
1310 |
+
- task:
|
1311 |
+
name: Translation yor-eng
|
1312 |
+
type: translation
|
1313 |
+
args: yor-eng
|
1314 |
+
dataset:
|
1315 |
+
name: ntrex128
|
1316 |
+
type: ntrex128
|
1317 |
+
args: yor-eng
|
1318 |
+
metrics:
|
1319 |
+
- name: BLEU
|
1320 |
+
type: bleu
|
1321 |
+
value: 11.2
|
1322 |
+
- name: chr-F
|
1323 |
+
type: chrf
|
1324 |
+
value: 0.34615
|
1325 |
+
- task:
|
1326 |
+
name: Translation zul-eng
|
1327 |
+
type: translation
|
1328 |
+
args: zul-eng
|
1329 |
+
dataset:
|
1330 |
+
name: ntrex128
|
1331 |
+
type: ntrex128
|
1332 |
+
args: zul-eng
|
1333 |
+
metrics:
|
1334 |
+
- name: BLEU
|
1335 |
+
type: bleu
|
1336 |
+
value: 21.9
|
1337 |
+
- name: chr-F
|
1338 |
+
type: chrf
|
1339 |
+
value: 0.45848
|
1340 |
+
- task:
|
1341 |
+
name: Translation zul-fra
|
1342 |
+
type: translation
|
1343 |
+
args: zul-fra
|
1344 |
+
dataset:
|
1345 |
+
name: ntrex128
|
1346 |
+
type: ntrex128
|
1347 |
+
args: zul-fra
|
1348 |
+
metrics:
|
1349 |
+
- name: BLEU
|
1350 |
+
type: bleu
|
1351 |
+
value: 11.4
|
1352 |
+
- name: chr-F
|
1353 |
+
type: chrf
|
1354 |
+
value: 0.36203
|
1355 |
+
- task:
|
1356 |
+
name: Translation zul-por
|
1357 |
+
type: translation
|
1358 |
+
args: zul-por
|
1359 |
+
dataset:
|
1360 |
+
name: ntrex128
|
1361 |
+
type: ntrex128
|
1362 |
+
args: zul-por
|
1363 |
+
metrics:
|
1364 |
+
- name: BLEU
|
1365 |
+
type: bleu
|
1366 |
+
value: 10.8
|
1367 |
+
- name: chr-F
|
1368 |
+
type: chrf
|
1369 |
+
value: 0.35081
|
1370 |
+
- task:
|
1371 |
+
name: Translation zul-spa
|
1372 |
+
type: translation
|
1373 |
+
args: zul-spa
|
1374 |
+
dataset:
|
1375 |
+
name: ntrex128
|
1376 |
+
type: ntrex128
|
1377 |
+
args: zul-spa
|
1378 |
+
metrics:
|
1379 |
+
- name: BLEU
|
1380 |
+
type: bleu
|
1381 |
+
value: 13.0
|
1382 |
+
- name: chr-F
|
1383 |
+
type: chrf
|
1384 |
+
value: 0.37270
|
1385 |
+
- task:
|
1386 |
+
name: Translation multi-multi
|
1387 |
+
type: translation
|
1388 |
+
args: multi-multi
|
1389 |
+
dataset:
|
1390 |
+
name: tatoeba-test-v2020-07-28-v2023-09-26
|
1391 |
+
type: tatoeba_mt
|
1392 |
+
args: multi-multi
|
1393 |
+
metrics:
|
1394 |
+
- name: BLEU
|
1395 |
+
type: bleu
|
1396 |
+
value: 27.3
|
1397 |
+
- name: chr-F
|
1398 |
+
type: chrf
|
1399 |
+
value: 0.44751
|
1400 |
+
- task:
|
1401 |
+
name: Translation run-eng
|
1402 |
+
type: translation
|
1403 |
+
args: run-eng
|
1404 |
+
dataset:
|
1405 |
+
name: tatoeba-test-v2021-08-07
|
1406 |
+
type: tatoeba_mt
|
1407 |
+
args: run-eng
|
1408 |
+
metrics:
|
1409 |
+
- name: BLEU
|
1410 |
+
type: bleu
|
1411 |
+
value: 34.9
|
1412 |
+
- name: chr-F
|
1413 |
+
type: chrf
|
1414 |
+
value: 0.49949
|
1415 |
+
- task:
|
1416 |
+
name: Translation run-fra
|
1417 |
+
type: translation
|
1418 |
+
args: run-fra
|
1419 |
+
dataset:
|
1420 |
+
name: tatoeba-test-v2021-08-07
|
1421 |
+
type: tatoeba_mt
|
1422 |
+
args: run-fra
|
1423 |
+
metrics:
|
1424 |
+
- name: BLEU
|
1425 |
+
type: bleu
|
1426 |
+
value: 22.4
|
1427 |
+
- name: chr-F
|
1428 |
+
type: chrf
|
1429 |
+
value: 0.41431
|
1430 |
+
- task:
|
1431 |
+
name: Translation swa-eng
|
1432 |
+
type: translation
|
1433 |
+
args: swa-eng
|
1434 |
+
dataset:
|
1435 |
+
name: tatoeba-test-v2021-08-07
|
1436 |
+
type: tatoeba_mt
|
1437 |
+
args: swa-eng
|
1438 |
+
metrics:
|
1439 |
+
- name: BLEU
|
1440 |
+
type: bleu
|
1441 |
+
value: 41.5
|
1442 |
+
- name: chr-F
|
1443 |
+
type: chrf
|
1444 |
+
value: 0.57031
|
1445 |
+
- task:
|
1446 |
+
name: Translation xho-eng
|
1447 |
+
type: translation
|
1448 |
+
args: xho-eng
|
1449 |
+
dataset:
|
1450 |
+
name: tatoeba-test-v2021-03-30
|
1451 |
+
type: tatoeba_mt
|
1452 |
+
args: xho-eng
|
1453 |
+
metrics:
|
1454 |
+
- name: BLEU
|
1455 |
+
type: bleu
|
1456 |
+
value: 36.4
|
1457 |
+
- name: chr-F
|
1458 |
+
type: chrf
|
1459 |
+
value: 0.51250
|
1460 |
+
- task:
|
1461 |
+
name: Translation zul-eng
|
1462 |
+
type: translation
|
1463 |
+
args: zul-eng
|
1464 |
+
dataset:
|
1465 |
+
name: tico19-test
|
1466 |
+
type: tico19-test
|
1467 |
+
args: zul-eng
|
1468 |
+
metrics:
|
1469 |
+
- name: BLEU
|
1470 |
+
type: bleu
|
1471 |
+
value: 25.2
|
1472 |
+
- name: chr-F
|
1473 |
+
type: chrf
|
1474 |
+
value: 0.48762
|
1475 |
+
- task:
|
1476 |
+
name: Translation zul-fra
|
1477 |
+
type: translation
|
1478 |
+
args: zul-fra
|
1479 |
+
dataset:
|
1480 |
+
name: tico19-test
|
1481 |
+
type: tico19-test
|
1482 |
+
args: zul-fra
|
1483 |
+
metrics:
|
1484 |
+
- name: BLEU
|
1485 |
+
type: bleu
|
1486 |
+
value: 13.7
|
1487 |
+
- name: chr-F
|
1488 |
+
type: chrf
|
1489 |
+
value: 0.37823
|
1490 |
+
- task:
|
1491 |
+
name: Translation zul-por
|
1492 |
+
type: translation
|
1493 |
+
args: zul-por
|
1494 |
+
dataset:
|
1495 |
+
name: tico19-test
|
1496 |
+
type: tico19-test
|
1497 |
+
args: zul-por
|
1498 |
+
metrics:
|
1499 |
+
- name: BLEU
|
1500 |
+
type: bleu
|
1501 |
+
value: 14.0
|
1502 |
+
- name: chr-F
|
1503 |
+
type: chrf
|
1504 |
+
value: 0.38586
|
1505 |
+
- task:
|
1506 |
+
name: Translation zul-spa
|
1507 |
+
type: translation
|
1508 |
+
args: zul-spa
|
1509 |
+
dataset:
|
1510 |
+
name: tico19-test
|
1511 |
+
type: tico19-test
|
1512 |
+
args: zul-spa
|
1513 |
+
metrics:
|
1514 |
+
- name: BLEU
|
1515 |
+
type: bleu
|
1516 |
+
value: 15.9
|
1517 |
+
- name: chr-F
|
1518 |
+
type: chrf
|
1519 |
+
value: 0.40041
|
1520 |
+
---
|
1521 |
+
# opus-mt-tc-bible-big-alv-deu_eng_fra_por_spa
|
1522 |
+
|
1523 |
+
## Table of Contents
|
1524 |
+
- [Model Details](#model-details)
|
1525 |
+
- [Uses](#uses)
|
1526 |
+
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
|
1527 |
+
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
|
1528 |
+
- [Training](#training)
|
1529 |
+
- [Evaluation](#evaluation)
|
1530 |
+
- [Citation Information](#citation-information)
|
1531 |
+
- [Acknowledgements](#acknowledgements)
|
1532 |
+
|
1533 |
+
## Model Details
|
1534 |
+
|
1535 |
+
Neural machine translation model for translating from Atlantic-Congo languages (alv) to unknown (deu+eng+fra+por+spa).
|
1536 |
+
|
1537 |
+
This model is part of the [OPUS-MT project](https://github.com/Helsinki-NLP/Opus-MT), an effort to make neural machine translation models widely available and accessible for many languages in the world. All models are originally trained using the amazing framework of [Marian NMT](https://marian-nmt.github.io/), an efficient NMT implementation written in pure C++. The models have been converted to pyTorch using the transformers library by huggingface. Training data is taken from [OPUS](https://opus.nlpl.eu/) and training pipelines use the procedures of [OPUS-MT-train](https://github.com/Helsinki-NLP/Opus-MT-train).
|
1538 |
+
**Model Description:**
|
1539 |
+
- **Developed by:** Language Technology Research Group at the University of Helsinki
|
1540 |
+
- **Model Type:** Translation (transformer-big)
|
1541 |
+
- **Release**: 2024-05-30
|
1542 |
+
- **License:** Apache-2.0
|
1543 |
+
- **Language(s):**
|
1544 |
+
- Source Language(s): abi acd ade adj aka akp ann anv atg avn bas bav bba beh bem bfd bfo bim biv bkv blh bmq bmv bom bov box bqj bss btt bud bwu cce cjk cko cme csk cwe cwt dag dga dgi dig dop dug dyi dyo efi ewe fal fon fuc ful gej gkn gng gog gud gur guw gux gwr hag hay heh her ibo ife iri izr jbu jmc kam kbp kdc kdl kdn ken keu kez kia kik kin kki kkj kma kmb kon ksb ktj kua kub kus kyf las lee lef lem lia lin lip lob lon lua lug luy maw mcp mcu mda mfq mgo mnf mnh mor mos muh myk myx mzk mzm mzw nbl ncu nde ndo ndz nfr nhu nim nin nmz nnb nnh nnw nso ntm ntr nuj nwb nya nyf nyn nyo nyy nzi oku old ozm pai pbl pkb rim run sag seh sig sil sld sna snw sot soy spp ssw suk swa swc swh sxb tbz tem thk tik tlj toh toi tpm tsn tso tsw tum twi umb vag ven vmw vun wmw wob wol xho xog xon xrb xsm xuo yam yaz yor zul
|
1545 |
+
- Target Language(s): deu eng fra por spa
|
1546 |
+
- Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<<
|
1547 |
+
- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
|
1548 |
+
- **Resources for more information:**
|
1549 |
+
- [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/alv-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
|
1550 |
+
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
1551 |
+
- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
|
1552 |
+
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/)
|
1553 |
+
- [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1)
|
1554 |
+
- [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/)
|
1555 |
+
|
1556 |
+
This is a multilingual translation model with multiple target languages. A sentence initial language token is required in the form of `>>id<<` (id = valid target language ID), e.g. `>>deu<<`
|
1557 |
+
|
1558 |
+
## Uses
|
1559 |
+
|
1560 |
+
This model can be used for translation and text-to-text generation.
|
1561 |
+
|
1562 |
+
## Risks, Limitations and Biases
|
1563 |
+
|
1564 |
+
**CONTENT WARNING: Readers should be aware that the model is trained on various public data sets that may contain content that is disturbing, offensive, and can propagate historical and current stereotypes.**
|
1565 |
+
|
1566 |
+
Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
|
1567 |
+
|
1568 |
+
## How to Get Started With the Model
|
1569 |
+
|
1570 |
+
A short example code:
|
1571 |
+
|
1572 |
+
```python
|
1573 |
+
from transformers import MarianMTModel, MarianTokenizer
|
1574 |
+
|
1575 |
+
src_text = [
|
1576 |
+
">>deu<< Replace this with text in an accepted source language.",
|
1577 |
+
">>spa<< This is the second sentence."
|
1578 |
+
]
|
1579 |
+
|
1580 |
+
model_name = "pytorch-models/opus-mt-tc-bible-big-alv-deu_eng_fra_por_spa"
|
1581 |
+
tokenizer = MarianTokenizer.from_pretrained(model_name)
|
1582 |
+
model = MarianMTModel.from_pretrained(model_name)
|
1583 |
+
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
|
1584 |
+
|
1585 |
+
for t in translated:
|
1586 |
+
print( tokenizer.decode(t, skip_special_tokens=True) )
|
1587 |
+
```
|
1588 |
+
|
1589 |
+
You can also use OPUS-MT models with the transformers pipelines, for example:
|
1590 |
+
|
1591 |
+
```python
|
1592 |
+
from transformers import pipeline
|
1593 |
+
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-alv-deu_eng_fra_por_spa")
|
1594 |
+
print(pipe(">>deu<< Replace this with text in an accepted source language."))
|
1595 |
+
```
|
1596 |
+
|
1597 |
+
## Training
|
1598 |
+
|
1599 |
+
- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
|
1600 |
+
- **Pre-processing**: SentencePiece (spm32k,spm32k)
|
1601 |
+
- **Model Type:** transformer-big
|
1602 |
+
- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
|
1603 |
+
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
1604 |
+
|
1605 |
+
## Evaluation
|
1606 |
+
|
1607 |
+
* [Model scores at the OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/alv-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
|
1608 |
+
* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt)
|
1609 |
+
* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/alv-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt)
|
1610 |
+
* benchmark results: [benchmark_results.txt](benchmark_results.txt)
|
1611 |
+
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
|
1612 |
+
|
1613 |
+
| langpair | testset | chr-F | BLEU | #sent | #words |
|
1614 |
+
|----------|---------|-------|-------|-------|--------|
|
1615 |
+
| run-eng | tatoeba-test-v2021-08-07 | 0.49949 | 34.9 | 1703 | 10041 |
|
1616 |
+
| run-fra | tatoeba-test-v2021-08-07 | 0.41431 | 22.4 | 1274 | 7479 |
|
1617 |
+
| swa-eng | tatoeba-test-v2021-08-07 | 0.57031 | 41.5 | 387 | 2508 |
|
1618 |
+
| swh-por | flores101-devtest | 0.40847 | 14.7 | 1012 | 26519 |
|
1619 |
+
| kin-eng | flores200-devtest | 0.41964 | 18.1 | 1012 | 24721 |
|
1620 |
+
| nso-eng | flores200-devtest | 0.45662 | 22.3 | 1012 | 24721 |
|
1621 |
+
| sna-eng | flores200-devtest | 0.41974 | 17.2 | 1012 | 24721 |
|
1622 |
+
| sot-eng | flores200-devtest | 0.45415 | 20.7 | 1012 | 24721 |
|
1623 |
+
| swh-eng | flores200-devtest | 0.54048 | 29.1 | 1012 | 24721 |
|
1624 |
+
| swh-fra | flores200-devtest | 0.44837 | 18.2 | 1012 | 28343 |
|
1625 |
+
| swh-por | flores200-devtest | 0.44062 | 17.6 | 1012 | 26519 |
|
1626 |
+
| tsn-eng | flores200-devtest | 0.40410 | 15.3 | 1012 | 24721 |
|
1627 |
+
| tso-eng | flores200-devtest | 0.41504 | 17.6 | 1012 | 24721 |
|
1628 |
+
| xho-eng | flores200-devtest | 0.47667 | 23.7 | 1012 | 24721 |
|
1629 |
+
| zul-eng | flores200-devtest | 0.47798 | 23.4 | 1012 | 24721 |
|
1630 |
+
| ibo-eng | ntrex128 | 0.42002 | 17.4 | 1997 | 47673 |
|
1631 |
+
| kin-eng | ntrex128 | 0.42892 | 16.9 | 1997 | 47673 |
|
1632 |
+
| nso-eng | ntrex128 | 0.42278 | 17.0 | 1997 | 47673 |
|
1633 |
+
| nya-eng | ntrex128 | 0.42702 | 19.2 | 1997 | 47673 |
|
1634 |
+
| ssw-eng | ntrex128 | 0.43041 | 18.0 | 1997 | 47673 |
|
1635 |
+
| swa-eng | ntrex128 | 0.54492 | 30.4 | 1997 | 47673 |
|
1636 |
+
| swa-fra | ntrex128 | 0.43008 | 15.6 | 1997 | 53481 |
|
1637 |
+
| swa-por | ntrex128 | 0.42343 | 15.4 | 1997 | 51631 |
|
1638 |
+
| swa-spa | ntrex128 | 0.44892 | 18.9 | 1997 | 54107 |
|
1639 |
+
| tsn-eng | ntrex128 | 0.44944 | 20.1 | 1997 | 47673 |
|
1640 |
+
| xho-eng | ntrex128 | 0.46636 | 21.8 | 1997 | 47673 |
|
1641 |
+
| zul-eng | ntrex128 | 0.45848 | 21.9 | 1997 | 47673 |
|
1642 |
+
| zul-eng | tico19-test | 0.48762 | 25.2 | 2100 | 56804 |
|
1643 |
+
| zul-spa | tico19-test | 0.40041 | 15.9 | 2100 | 66563 |
|
1644 |
+
|
1645 |
+
## Citation Information
|
1646 |
+
|
1647 |
+
* Publications: [Democratizing neural machine translation with OPUS-MT](https://doi.org/10.1007/s10579-023-09704-w) and [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
|
1648 |
+
|
1649 |
+
```bibtex
|
1650 |
+
@article{tiedemann2023democratizing,
|
1651 |
+
title={Democratizing neural machine translation with {OPUS-MT}},
|
1652 |
+
author={Tiedemann, J{\"o}rg and Aulamo, Mikko and Bakshandaeva, Daria and Boggia, Michele and Gr{\"o}nroos, Stig-Arne and Nieminen, Tommi and Raganato, Alessandro and Scherrer, Yves and Vazquez, Raul and Virpioja, Sami},
|
1653 |
+
journal={Language Resources and Evaluation},
|
1654 |
+
number={58},
|
1655 |
+
pages={713--755},
|
1656 |
+
year={2023},
|
1657 |
+
publisher={Springer Nature},
|
1658 |
+
issn={1574-0218},
|
1659 |
+
doi={10.1007/s10579-023-09704-w}
|
1660 |
+
}
|
1661 |
+
|
1662 |
+
@inproceedings{tiedemann-thottingal-2020-opus,
|
1663 |
+
title = "{OPUS}-{MT} {--} Building open translation services for the World",
|
1664 |
+
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
|
1665 |
+
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
|
1666 |
+
month = nov,
|
1667 |
+
year = "2020",
|
1668 |
+
address = "Lisboa, Portugal",
|
1669 |
+
publisher = "European Association for Machine Translation",
|
1670 |
+
url = "https://aclanthology.org/2020.eamt-1.61",
|
1671 |
+
pages = "479--480",
|
1672 |
+
}
|
1673 |
+
|
1674 |
+
@inproceedings{tiedemann-2020-tatoeba,
|
1675 |
+
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
|
1676 |
+
author = {Tiedemann, J{\"o}rg},
|
1677 |
+
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
|
1678 |
+
month = nov,
|
1679 |
+
year = "2020",
|
1680 |
+
address = "Online",
|
1681 |
+
publisher = "Association for Computational Linguistics",
|
1682 |
+
url = "https://aclanthology.org/2020.wmt-1.139",
|
1683 |
+
pages = "1174--1182",
|
1684 |
+
}
|
1685 |
+
```
|
1686 |
+
|
1687 |
+
## Acknowledgements
|
1688 |
+
|
1689 |
+
The work is supported by the [HPLT project](https://hplt-project.org/), funded by the European Union’s Horizon Europe research and innovation programme under grant agreement No 101070350. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland, and the [EuroHPC supercomputer LUMI](https://www.lumi-supercomputer.eu/).
|
1690 |
+
|
1691 |
+
## Model conversion info
|
1692 |
+
|
1693 |
+
* transformers version: 4.45.1
|
1694 |
+
* OPUS-MT git hash: a0ea3b3
|
1695 |
+
* port time: Mon Oct 7 16:22:19 EEST 2024
|
1696 |
+
* port machine: LM0-400-22516.local
|
benchmark_results.txt
ADDED
@@ -0,0 +1,296 @@
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
1 |
+
multi-multi tatoeba-test-v2020-07-28-v2023-09-26 0.44751 27.3 6455 38460
|
2 |
+
ful-eng flores101-devtest 0.21713 3.5 1012 24721
|
3 |
+
ful-fra flores101-devtest 0.19514 2.1 1012 28343
|
4 |
+
ibo-deu flores101-devtest 0.29329 4.8 1012 25094
|
5 |
+
ibo-eng flores101-devtest 0.36320 12.5 1012 24721
|
6 |
+
kam-eng flores101-devtest 0.23819 5.3 1012 24721
|
7 |
+
kam-por flores101-devtest 0.20757 3.3 1012 26519
|
8 |
+
lin-deu flores101-devtest 0.28572 5.2 1012 25094
|
9 |
+
lin-fra flores101-devtest 0.31914 8.9 1012 28343
|
10 |
+
lin-por flores101-devtest 0.31177 8.4 1012 26519
|
11 |
+
lin-spa flores101-devtest 0.29320 6.6 1012 29199
|
12 |
+
lug-deu flores101-devtest 0.24065 3.3 1012 25094
|
13 |
+
nso-fra flores101-devtest 0.29772 7.8 1012 28343
|
14 |
+
nya-eng flores101-devtest 0.36765 13.2 1012 24721
|
15 |
+
nya-fra flores101-devtest 0.30619 8.0 1012 28343
|
16 |
+
sna-fra flores101-devtest 0.34168 9.6 1012 28343
|
17 |
+
sna-spa flores101-devtest 0.30187 6.8 1012 29199
|
18 |
+
swh-por flores101-devtest 0.40847 14.7 1012 26519
|
19 |
+
umb-deu flores101-devtest 0.20753 1.4 1012 25094
|
20 |
+
umb-eng flores101-devtest 0.22787 3.3 1012 24721
|
21 |
+
wol-fra flores101-devtest 0.23494 3.9 1012 28343
|
22 |
+
wol-por flores101-devtest 0.23358 3.7 1012 26519
|
23 |
+
xho-por flores101-devtest 0.33906 10.1 1012 26519
|
24 |
+
yor-fra flores101-devtest 0.24198 4.0 1012 28343
|
25 |
+
zul-fra flores101-devtest 0.35968 11.2 1012 28343
|
26 |
+
aka-deu flores200-devtest 0.21103 2.0 1012 25094
|
27 |
+
aka-eng flores200-devtest 0.25750 5.6 1012 24721
|
28 |
+
aka-fra flores200-devtest 0.21075 3.1 1012 28343
|
29 |
+
aka-por flores200-devtest 0.20728 3.2 1012 26519
|
30 |
+
aka-spa flores200-devtest 0.21494 3.4 1012 29199
|
31 |
+
bem-deu flores200-devtest 0.29324 4.7 1012 25094
|
32 |
+
bem-eng flores200-devtest 0.37071 13.1 1012 24721
|
33 |
+
bem-fra flores200-devtest 0.31561 8.6 1012 28343
|
34 |
+
bem-por flores200-devtest 0.30790 8.1 1012 26519
|
35 |
+
bem-spa flores200-devtest 0.29661 6.9 1012 29199
|
36 |
+
cjk-deu flores200-devtest 0.21803 1.8 1012 25094
|
37 |
+
cjk-eng flores200-devtest 0.23825 3.9 1012 24721
|
38 |
+
cjk-fra flores200-devtest 0.21484 2.8 1012 28343
|
39 |
+
cjk-por flores200-devtest 0.22811 3.3 1012 26519
|
40 |
+
cjk-spa flores200-devtest 0.23353 3.2 1012 29199
|
41 |
+
ewe-deu flores200-devtest 0.20417 1.9 1012 25094
|
42 |
+
ewe-eng flores200-devtest 0.24329 4.6 1012 24721
|
43 |
+
ewe-fra flores200-devtest 0.19872 2.7 1012 28343
|
44 |
+
ewe-por flores200-devtest 0.19574 2.4 1012 26519
|
45 |
+
ewe-spa flores200-devtest 0.20390 2.8 1012 29199
|
46 |
+
fon-deu flores200-devtest 0.21065 1.7 1012 25094
|
47 |
+
fon-eng flores200-devtest 0.23791 3.8 1012 24721
|
48 |
+
fon-fra flores200-devtest 0.20637 2.8 1012 28343
|
49 |
+
fon-por flores200-devtest 0.20322 2.5 1012 26519
|
50 |
+
fon-spa flores200-devtest 0.21140 2.8 1012 29199
|
51 |
+
ibo-deu flores200-devtest 0.31201 5.9 1012 25094
|
52 |
+
ibo-eng flores200-devtest 0.38994 14.6 1012 24721
|
53 |
+
ibo-fra flores200-devtest 0.33654 9.3 1012 28343
|
54 |
+
ibo-por flores200-devtest 0.32381 8.7 1012 26519
|
55 |
+
ibo-spa flores200-devtest 0.30903 6.8 1012 29199
|
56 |
+
kam-deu flores200-devtest 0.22623 2.4 1012 25094
|
57 |
+
kam-eng flores200-devtest 0.25176 5.9 1012 24721
|
58 |
+
kam-fra flores200-devtest 0.22149 3.8 1012 28343
|
59 |
+
kam-por flores200-devtest 0.22020 4.0 1012 26519
|
60 |
+
kam-spa flores200-devtest 0.22602 3.6 1012 29199
|
61 |
+
kbp-deu flores200-devtest 0.22271 2.3 1012 25094
|
62 |
+
kbp-eng flores200-devtest 0.26127 5.1 1012 24721
|
63 |
+
kbp-fra flores200-devtest 0.22128 3.4 1012 28343
|
64 |
+
kbp-por flores200-devtest 0.21208 3.1 1012 26519
|
65 |
+
kbp-spa flores200-devtest 0.22121 3.3 1012 29199
|
66 |
+
kik-deu flores200-devtest 0.27542 3.4 1012 25094
|
67 |
+
kik-eng flores200-devtest 0.33821 9.8 1012 24721
|
68 |
+
kik-fra flores200-devtest 0.29550 6.5 1012 28343
|
69 |
+
kik-por flores200-devtest 0.28161 5.5 1012 26519
|
70 |
+
kik-spa flores200-devtest 0.28074 5.1 1012 29199
|
71 |
+
kin-deu flores200-devtest 0.30940 6.3 1012 25094
|
72 |
+
kin-eng flores200-devtest 0.41964 18.1 1012 24721
|
73 |
+
kin-fra flores200-devtest 0.34887 10.7 1012 28343
|
74 |
+
kin-por flores200-devtest 0.32719 9.6 1012 26519
|
75 |
+
kin-spa flores200-devtest 0.31594 7.7 1012 29199
|
76 |
+
kmb-deu flores200-devtest 0.22967 2.2 1012 25094
|
77 |
+
kmb-eng flores200-devtest 0.25883 5.2 1012 24721
|
78 |
+
kmb-fra flores200-devtest 0.22897 3.9 1012 28343
|
79 |
+
kmb-por flores200-devtest 0.23387 4.5 1012 26519
|
80 |
+
kmb-spa flores200-devtest 0.24068 4.1 1012 29199
|
81 |
+
kon-deu flores200-devtest 0.29087 5.1 1012 25094
|
82 |
+
kon-eng flores200-devtest 0.34262 11.3 1012 24721
|
83 |
+
kon-fra flores200-devtest 0.31994 8.4 1012 28343
|
84 |
+
kon-por flores200-devtest 0.30547 7.8 1012 26519
|
85 |
+
kon-spa flores200-devtest 0.29534 6.4 1012 29199
|
86 |
+
lin-deu flores200-devtest 0.30708 6.4 1012 25094
|
87 |
+
lin-eng flores200-devtest 0.37728 14.2 1012 24721
|
88 |
+
lin-fra flores200-devtest 0.35052 11.0 1012 28343
|
89 |
+
lin-por flores200-devtest 0.33695 9.9 1012 26519
|
90 |
+
lin-spa flores200-devtest 0.31627 7.8 1012 29199
|
91 |
+
lua-deu flores200-devtest 0.23914 2.4 1012 25094
|
92 |
+
lua-eng flores200-devtest 0.26673 5.7 1012 24721
|
93 |
+
lua-fra flores200-devtest 0.23716 4.0 1012 28343
|
94 |
+
lua-por flores200-devtest 0.23412 4.0 1012 26519
|
95 |
+
lua-spa flores200-devtest 0.24285 3.9 1012 29199
|
96 |
+
lug-deu flores200-devtest 0.26004 4.3 1012 25094
|
97 |
+
lug-eng flores200-devtest 0.31805 10.6 1012 24721
|
98 |
+
lug-fra flores200-devtest 0.27167 6.5 1012 28343
|
99 |
+
lug-por flores200-devtest 0.25710 5.6 1012 26519
|
100 |
+
lug-spa flores200-devtest 0.25848 4.5 1012 29199
|
101 |
+
mos-deu flores200-devtest 0.19759 1.4 1012 25094
|
102 |
+
mos-eng flores200-devtest 0.23490 4.2 1012 24721
|
103 |
+
mos-fra flores200-devtest 0.19502 2.3 1012 28343
|
104 |
+
mos-por flores200-devtest 0.19102 2.6 1012 26519
|
105 |
+
mos-spa flores200-devtest 0.19918 2.4 1012 29199
|
106 |
+
nso-deu flores200-devtest 0.32125 7.4 1012 25094
|
107 |
+
nso-eng flores200-devtest 0.45662 22.3 1012 24721
|
108 |
+
nso-fra flores200-devtest 0.33732 10.5 1012 28343
|
109 |
+
nso-por flores200-devtest 0.31523 9.4 1012 26519
|
110 |
+
nso-spa flores200-devtest 0.29414 7.0 1012 29199
|
111 |
+
nya-deu flores200-devtest 0.30179 5.7 1012 25094
|
112 |
+
nya-eng flores200-devtest 0.39887 15.8 1012 24721
|
113 |
+
nya-fra flores200-devtest 0.33930 9.9 1012 28343
|
114 |
+
nya-por flores200-devtest 0.31301 8.6 1012 26519
|
115 |
+
nya-spa flores200-devtest 0.30478 7.2 1012 29199
|
116 |
+
run-deu flores200-devtest 0.31691 6.9 1012 25094
|
117 |
+
run-eng flores200-devtest 0.39846 15.5 1012 24721
|
118 |
+
run-fra flores200-devtest 0.34845 10.8 1012 28343
|
119 |
+
run-por flores200-devtest 0.33836 10.2 1012 26519
|
120 |
+
run-spa flores200-devtest 0.32116 8.0 1012 29199
|
121 |
+
sag-deu flores200-devtest 0.22221 2.4 1012 25094
|
122 |
+
sag-eng flores200-devtest 0.26423 5.4 1012 24721
|
123 |
+
sag-fra flores200-devtest 0.22575 3.8 1012 28343
|
124 |
+
sag-por flores200-devtest 0.21856 3.4 1012 26519
|
125 |
+
sag-spa flores200-devtest 0.22854 3.8 1012 29199
|
126 |
+
sna-deu flores200-devtest 0.32378 6.9 1012 25094
|
127 |
+
sna-eng flores200-devtest 0.41974 17.2 1012 24721
|
128 |
+
sna-fra flores200-devtest 0.36443 11.3 1012 28343
|
129 |
+
sna-por flores200-devtest 0.34260 10.2 1012 26519
|
130 |
+
sna-spa flores200-devtest 0.32210 8.0 1012 29199
|
131 |
+
sot-deu flores200-devtest 0.32197 6.9 1012 25094
|
132 |
+
sot-eng flores200-devtest 0.45415 20.7 1012 24721
|
133 |
+
sot-fra flores200-devtest 0.34608 10.7 1012 28343
|
134 |
+
sot-por flores200-devtest 0.32424 9.5 1012 26519
|
135 |
+
sot-spa flores200-devtest 0.30357 7.2 1012 29199
|
136 |
+
ssw-deu flores200-devtest 0.30791 5.8 1012 25094
|
137 |
+
ssw-eng flores200-devtest 0.39768 16.1 1012 24721
|
138 |
+
ssw-fra flores200-devtest 0.33603 9.8 1012 28343
|
139 |
+
ssw-por flores200-devtest 0.32413 9.2 1012 26519
|
140 |
+
ssw-spa flores200-devtest 0.30217 6.8 1012 29199
|
141 |
+
swh-deu flores200-devtest 0.38892 10.9 1012 25094
|
142 |
+
swh-eng flores200-devtest 0.54048 29.1 1012 24721
|
143 |
+
swh-fra flores200-devtest 0.44837 18.2 1012 28343
|
144 |
+
swh-por flores200-devtest 0.44062 17.6 1012 26519
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