Initial commit
Browse files- .gitattributes +1 -0
- README.md +2529 -0
- benchmark_results.txt +178 -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 +1,2529 @@
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|
1 |
+
---
|
2 |
+
library_name: transformers
|
3 |
+
language:
|
4 |
+
- anp
|
5 |
+
- as
|
6 |
+
- awa
|
7 |
+
- bho
|
8 |
+
- bn
|
9 |
+
- bpy
|
10 |
+
- de
|
11 |
+
- dv
|
12 |
+
- en
|
13 |
+
- es
|
14 |
+
- fr
|
15 |
+
- gbm
|
16 |
+
- gu
|
17 |
+
- hi
|
18 |
+
- hif
|
19 |
+
- hne
|
20 |
+
- hns
|
21 |
+
- kok
|
22 |
+
- ks
|
23 |
+
- lah
|
24 |
+
- mag
|
25 |
+
- mai
|
26 |
+
- mr
|
27 |
+
- ne
|
28 |
+
- or
|
29 |
+
- pa
|
30 |
+
- pi
|
31 |
+
- pt
|
32 |
+
- rhg
|
33 |
+
- rmy
|
34 |
+
- rom
|
35 |
+
- sa
|
36 |
+
- sd
|
37 |
+
- si
|
38 |
+
- skr
|
39 |
+
- syl
|
40 |
+
- ur
|
41 |
+
|
42 |
+
tags:
|
43 |
+
- translation
|
44 |
+
- opus-mt-tc-bible
|
45 |
+
|
46 |
+
license: apache-2.0
|
47 |
+
model-index:
|
48 |
+
- name: opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa
|
49 |
+
results:
|
50 |
+
- task:
|
51 |
+
name: Translation asm-eng
|
52 |
+
type: translation
|
53 |
+
args: asm-eng
|
54 |
+
dataset:
|
55 |
+
name: flores200-devtest
|
56 |
+
type: flores200-devtest
|
57 |
+
args: asm-eng
|
58 |
+
metrics:
|
59 |
+
- name: BLEU
|
60 |
+
type: bleu
|
61 |
+
value: 21.9
|
62 |
+
- name: chr-F
|
63 |
+
type: chrf
|
64 |
+
value: 0.48584
|
65 |
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- task:
|
66 |
+
name: Translation asm-por
|
67 |
+
type: translation
|
68 |
+
args: asm-por
|
69 |
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dataset:
|
70 |
+
name: flores200-devtest
|
71 |
+
type: flores200-devtest
|
72 |
+
args: asm-por
|
73 |
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metrics:
|
74 |
+
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|
75 |
+
type: bleu
|
76 |
+
value: 10.1
|
77 |
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- name: chr-F
|
78 |
+
type: chrf
|
79 |
+
value: 0.35028
|
80 |
+
- task:
|
81 |
+
name: Translation awa-deu
|
82 |
+
type: translation
|
83 |
+
args: awa-deu
|
84 |
+
dataset:
|
85 |
+
name: flores200-devtest
|
86 |
+
type: flores200-devtest
|
87 |
+
args: awa-deu
|
88 |
+
metrics:
|
89 |
+
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|
90 |
+
type: bleu
|
91 |
+
value: 16.5
|
92 |
+
- name: chr-F
|
93 |
+
type: chrf
|
94 |
+
value: 0.47173
|
95 |
+
- task:
|
96 |
+
name: Translation awa-eng
|
97 |
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type: translation
|
98 |
+
args: awa-eng
|
99 |
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dataset:
|
100 |
+
name: flores200-devtest
|
101 |
+
type: flores200-devtest
|
102 |
+
args: awa-eng
|
103 |
+
metrics:
|
104 |
+
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|
105 |
+
type: bleu
|
106 |
+
value: 24.5
|
107 |
+
- name: chr-F
|
108 |
+
type: chrf
|
109 |
+
value: 0.50582
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110 |
+
- task:
|
111 |
+
name: Translation awa-fra
|
112 |
+
type: translation
|
113 |
+
args: awa-fra
|
114 |
+
dataset:
|
115 |
+
name: flores200-devtest
|
116 |
+
type: flores200-devtest
|
117 |
+
args: awa-fra
|
118 |
+
metrics:
|
119 |
+
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|
120 |
+
type: bleu
|
121 |
+
value: 21.4
|
122 |
+
- name: chr-F
|
123 |
+
type: chrf
|
124 |
+
value: 0.49682
|
125 |
+
- task:
|
126 |
+
name: Translation awa-por
|
127 |
+
type: translation
|
128 |
+
args: awa-por
|
129 |
+
dataset:
|
130 |
+
name: flores200-devtest
|
131 |
+
type: flores200-devtest
|
132 |
+
args: awa-por
|
133 |
+
metrics:
|
134 |
+
- name: BLEU
|
135 |
+
type: bleu
|
136 |
+
value: 21.5
|
137 |
+
- name: chr-F
|
138 |
+
type: chrf
|
139 |
+
value: 0.49663
|
140 |
+
- task:
|
141 |
+
name: Translation awa-spa
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142 |
+
type: translation
|
143 |
+
args: awa-spa
|
144 |
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dataset:
|
145 |
+
name: flores200-devtest
|
146 |
+
type: flores200-devtest
|
147 |
+
args: awa-spa
|
148 |
+
metrics:
|
149 |
+
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|
150 |
+
type: bleu
|
151 |
+
value: 15.1
|
152 |
+
- name: chr-F
|
153 |
+
type: chrf
|
154 |
+
value: 0.43740
|
155 |
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- task:
|
156 |
+
name: Translation ben-deu
|
157 |
+
type: translation
|
158 |
+
args: ben-deu
|
159 |
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dataset:
|
160 |
+
name: flores200-devtest
|
161 |
+
type: flores200-devtest
|
162 |
+
args: ben-deu
|
163 |
+
metrics:
|
164 |
+
- name: BLEU
|
165 |
+
type: bleu
|
166 |
+
value: 16.6
|
167 |
+
- name: chr-F
|
168 |
+
type: chrf
|
169 |
+
value: 0.47330
|
170 |
+
- task:
|
171 |
+
name: Translation ben-eng
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172 |
+
type: translation
|
173 |
+
args: ben-eng
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174 |
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dataset:
|
175 |
+
name: flores200-devtest
|
176 |
+
type: flores200-devtest
|
177 |
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args: ben-eng
|
178 |
+
metrics:
|
179 |
+
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|
180 |
+
type: bleu
|
181 |
+
value: 30.5
|
182 |
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183 |
+
type: chrf
|
184 |
+
value: 0.58077
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185 |
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- task:
|
186 |
+
name: Translation ben-fra
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187 |
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type: translation
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188 |
+
args: ben-fra
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189 |
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dataset:
|
190 |
+
name: flores200-devtest
|
191 |
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type: flores200-devtest
|
192 |
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args: ben-fra
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193 |
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metrics:
|
194 |
+
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195 |
+
type: bleu
|
196 |
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|
197 |
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198 |
+
type: chrf
|
199 |
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value: 0.50884
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200 |
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- task:
|
201 |
+
name: Translation ben-por
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202 |
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type: translation
|
203 |
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args: ben-por
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204 |
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dataset:
|
205 |
+
name: flores200-devtest
|
206 |
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type: flores200-devtest
|
207 |
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args: ben-por
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208 |
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metrics:
|
209 |
+
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|
210 |
+
type: bleu
|
211 |
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|
212 |
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|
213 |
+
type: chrf
|
214 |
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value: 0.50054
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215 |
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- task:
|
216 |
+
name: Translation ben-spa
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217 |
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type: translation
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218 |
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args: ben-spa
|
219 |
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dataset:
|
220 |
+
name: flores200-devtest
|
221 |
+
type: flores200-devtest
|
222 |
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args: ben-spa
|
223 |
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metrics:
|
224 |
+
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|
225 |
+
type: bleu
|
226 |
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|
227 |
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- name: chr-F
|
228 |
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type: chrf
|
229 |
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value: 0.44159
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230 |
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- task:
|
231 |
+
name: Translation bho-deu
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232 |
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type: translation
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233 |
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args: bho-deu
|
234 |
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dataset:
|
235 |
+
name: flores200-devtest
|
236 |
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type: flores200-devtest
|
237 |
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args: bho-deu
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238 |
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metrics:
|
239 |
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240 |
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type: bleu
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241 |
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|
242 |
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- name: chr-F
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243 |
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type: chrf
|
244 |
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value: 0.42660
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245 |
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- task:
|
246 |
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name: Translation bho-eng
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247 |
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type: translation
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248 |
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args: bho-eng
|
249 |
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dataset:
|
250 |
+
name: flores200-devtest
|
251 |
+
type: flores200-devtest
|
252 |
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args: bho-eng
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253 |
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metrics:
|
254 |
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|
255 |
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type: bleu
|
256 |
+
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|
257 |
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- name: chr-F
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258 |
+
type: chrf
|
259 |
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value: 0.50609
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260 |
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- task:
|
261 |
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name: Translation bho-fra
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262 |
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type: translation
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263 |
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args: bho-fra
|
264 |
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dataset:
|
265 |
+
name: flores200-devtest
|
266 |
+
type: flores200-devtest
|
267 |
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args: bho-fra
|
268 |
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metrics:
|
269 |
+
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|
270 |
+
type: bleu
|
271 |
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|
272 |
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- name: chr-F
|
273 |
+
type: chrf
|
274 |
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value: 0.44889
|
275 |
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- task:
|
276 |
+
name: Translation bho-por
|
277 |
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type: translation
|
278 |
+
args: bho-por
|
279 |
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dataset:
|
280 |
+
name: flores200-devtest
|
281 |
+
type: flores200-devtest
|
282 |
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args: bho-por
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283 |
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metrics:
|
284 |
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|
285 |
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type: bleu
|
286 |
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|
287 |
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|
288 |
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type: chrf
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289 |
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value: 0.44582
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290 |
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- task:
|
291 |
+
name: Translation bho-spa
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292 |
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type: translation
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293 |
+
args: bho-spa
|
294 |
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dataset:
|
295 |
+
name: flores200-devtest
|
296 |
+
type: flores200-devtest
|
297 |
+
args: bho-spa
|
298 |
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metrics:
|
299 |
+
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|
300 |
+
type: bleu
|
301 |
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|
302 |
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303 |
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type: chrf
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304 |
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value: 0.40581
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305 |
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- task:
|
306 |
+
name: Translation guj-deu
|
307 |
+
type: translation
|
308 |
+
args: guj-deu
|
309 |
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dataset:
|
310 |
+
name: flores200-devtest
|
311 |
+
type: flores200-devtest
|
312 |
+
args: guj-deu
|
313 |
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metrics:
|
314 |
+
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315 |
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type: bleu
|
316 |
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|
317 |
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318 |
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type: chrf
|
319 |
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value: 0.46665
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320 |
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- task:
|
321 |
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name: Translation guj-eng
|
322 |
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type: translation
|
323 |
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args: guj-eng
|
324 |
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dataset:
|
325 |
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name: flores200-devtest
|
326 |
+
type: flores200-devtest
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327 |
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args: guj-eng
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328 |
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metrics:
|
329 |
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330 |
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type: bleu
|
331 |
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|
332 |
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333 |
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334 |
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value: 0.61383
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335 |
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- task:
|
336 |
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337 |
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type: translation
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338 |
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args: guj-fra
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339 |
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dataset:
|
340 |
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name: flores200-devtest
|
341 |
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type: flores200-devtest
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342 |
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args: guj-fra
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343 |
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metrics:
|
344 |
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345 |
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346 |
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347 |
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348 |
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349 |
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350 |
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- task:
|
351 |
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352 |
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353 |
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args: guj-por
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354 |
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dataset:
|
355 |
+
name: flores200-devtest
|
356 |
+
type: flores200-devtest
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357 |
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args: guj-por
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358 |
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metrics:
|
359 |
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360 |
+
type: bleu
|
361 |
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362 |
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363 |
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364 |
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365 |
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- task:
|
366 |
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name: Translation guj-spa
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367 |
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type: translation
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368 |
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args: guj-spa
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369 |
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dataset:
|
370 |
+
name: flores200-devtest
|
371 |
+
type: flores200-devtest
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372 |
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args: guj-spa
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373 |
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metrics:
|
374 |
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375 |
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376 |
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|
377 |
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378 |
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379 |
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380 |
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- task:
|
381 |
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name: Translation hin-deu
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382 |
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type: translation
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383 |
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args: hin-deu
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384 |
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dataset:
|
385 |
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name: flores200-devtest
|
386 |
+
type: flores200-devtest
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387 |
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args: hin-deu
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388 |
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metrics:
|
389 |
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|
390 |
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type: bleu
|
391 |
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|
392 |
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- name: chr-F
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393 |
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394 |
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value: 0.50226
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395 |
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- task:
|
396 |
+
name: Translation hin-eng
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397 |
+
type: translation
|
398 |
+
args: hin-eng
|
399 |
+
dataset:
|
400 |
+
name: flores200-devtest
|
401 |
+
type: flores200-devtest
|
402 |
+
args: hin-eng
|
403 |
+
metrics:
|
404 |
+
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|
405 |
+
type: bleu
|
406 |
+
value: 37.3
|
407 |
+
- name: chr-F
|
408 |
+
type: chrf
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409 |
+
value: 0.63336
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410 |
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- task:
|
411 |
+
name: Translation hin-fra
|
412 |
+
type: translation
|
413 |
+
args: hin-fra
|
414 |
+
dataset:
|
415 |
+
name: flores200-devtest
|
416 |
+
type: flores200-devtest
|
417 |
+
args: hin-fra
|
418 |
+
metrics:
|
419 |
+
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|
420 |
+
type: bleu
|
421 |
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|
422 |
+
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|
423 |
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424 |
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value: 0.53701
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425 |
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- task:
|
426 |
+
name: Translation hin-por
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427 |
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type: translation
|
428 |
+
args: hin-por
|
429 |
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dataset:
|
430 |
+
name: flores200-devtest
|
431 |
+
type: flores200-devtest
|
432 |
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args: hin-por
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433 |
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|
434 |
+
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|
435 |
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type: bleu
|
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:
|
441 |
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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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type: flores200-devtest
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447 |
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args: hin-spa
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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:
|
456 |
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457 |
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458 |
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args: hne-deu
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459 |
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dataset:
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460 |
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461 |
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type: flores200-devtest
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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:
|
471 |
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472 |
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473 |
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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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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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486 |
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487 |
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488 |
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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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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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500 |
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|
501 |
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502 |
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503 |
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504 |
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dataset:
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505 |
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506 |
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507 |
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508 |
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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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516 |
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517 |
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518 |
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519 |
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dataset:
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520 |
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521 |
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522 |
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523 |
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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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530 |
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- task:
|
531 |
+
name: Translation mag-deu
|
532 |
+
type: translation
|
533 |
+
args: mag-deu
|
534 |
+
dataset:
|
535 |
+
name: flores200-devtest
|
536 |
+
type: flores200-devtest
|
537 |
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args: mag-deu
|
538 |
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metrics:
|
539 |
+
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|
540 |
+
type: bleu
|
541 |
+
value: 19.7
|
542 |
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- name: chr-F
|
543 |
+
type: chrf
|
544 |
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value: 0.50359
|
545 |
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- task:
|
546 |
+
name: Translation mag-eng
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547 |
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type: translation
|
548 |
+
args: mag-eng
|
549 |
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dataset:
|
550 |
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name: flores200-devtest
|
551 |
+
type: flores200-devtest
|
552 |
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args: mag-eng
|
553 |
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metrics:
|
554 |
+
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|
555 |
+
type: bleu
|
556 |
+
value: 38.0
|
557 |
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558 |
+
type: chrf
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559 |
+
value: 0.63906
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560 |
+
- task:
|
561 |
+
name: Translation mag-fra
|
562 |
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type: translation
|
563 |
+
args: mag-fra
|
564 |
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dataset:
|
565 |
+
name: flores200-devtest
|
566 |
+
type: flores200-devtest
|
567 |
+
args: mag-fra
|
568 |
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metrics:
|
569 |
+
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|
570 |
+
type: bleu
|
571 |
+
value: 25.8
|
572 |
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- name: chr-F
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573 |
+
type: chrf
|
574 |
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value: 0.53616
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575 |
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- task:
|
576 |
+
name: Translation mag-por
|
577 |
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type: translation
|
578 |
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args: mag-por
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579 |
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dataset:
|
580 |
+
name: flores200-devtest
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581 |
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type: flores200-devtest
|
582 |
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args: mag-por
|
583 |
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metrics:
|
584 |
+
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585 |
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type: bleu
|
586 |
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value: 25.9
|
587 |
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- name: chr-F
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588 |
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type: chrf
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589 |
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value: 0.53537
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590 |
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- task:
|
591 |
+
name: Translation mag-spa
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592 |
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type: translation
|
593 |
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args: mag-spa
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594 |
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dataset:
|
595 |
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name: flores200-devtest
|
596 |
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type: flores200-devtest
|
597 |
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args: mag-spa
|
598 |
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metrics:
|
599 |
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|
600 |
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type: bleu
|
601 |
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value: 16.9
|
602 |
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603 |
+
type: chrf
|
604 |
+
value: 0.45822
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605 |
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- task:
|
606 |
+
name: Translation mai-deu
|
607 |
+
type: translation
|
608 |
+
args: mai-deu
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609 |
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dataset:
|
610 |
+
name: flores200-devtest
|
611 |
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type: flores200-devtest
|
612 |
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args: mai-deu
|
613 |
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metrics:
|
614 |
+
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|
615 |
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type: bleu
|
616 |
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|
617 |
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618 |
+
type: chrf
|
619 |
+
value: 0.46791
|
620 |
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- task:
|
621 |
+
name: Translation mai-eng
|
622 |
+
type: translation
|
623 |
+
args: mai-eng
|
624 |
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dataset:
|
625 |
+
name: flores200-devtest
|
626 |
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type: flores200-devtest
|
627 |
+
args: mai-eng
|
628 |
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metrics:
|
629 |
+
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|
630 |
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type: bleu
|
631 |
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value: 30.4
|
632 |
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633 |
+
type: chrf
|
634 |
+
value: 0.57461
|
635 |
+
- task:
|
636 |
+
name: Translation mai-fra
|
637 |
+
type: translation
|
638 |
+
args: mai-fra
|
639 |
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dataset:
|
640 |
+
name: flores200-devtest
|
641 |
+
type: flores200-devtest
|
642 |
+
args: mai-fra
|
643 |
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metrics:
|
644 |
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645 |
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type: bleu
|
646 |
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|
647 |
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- name: chr-F
|
648 |
+
type: chrf
|
649 |
+
value: 0.50585
|
650 |
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- task:
|
651 |
+
name: Translation mai-por
|
652 |
+
type: translation
|
653 |
+
args: mai-por
|
654 |
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dataset:
|
655 |
+
name: flores200-devtest
|
656 |
+
type: flores200-devtest
|
657 |
+
args: mai-por
|
658 |
+
metrics:
|
659 |
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|
660 |
+
type: bleu
|
661 |
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|
662 |
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|
663 |
+
type: chrf
|
664 |
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value: 0.50490
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665 |
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- task:
|
666 |
+
name: Translation mai-spa
|
667 |
+
type: translation
|
668 |
+
args: mai-spa
|
669 |
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dataset:
|
670 |
+
name: flores200-devtest
|
671 |
+
type: flores200-devtest
|
672 |
+
args: mai-spa
|
673 |
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metrics:
|
674 |
+
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675 |
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type: bleu
|
676 |
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|
677 |
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|
678 |
+
type: chrf
|
679 |
+
value: 0.44366
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680 |
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- task:
|
681 |
+
name: Translation mar-deu
|
682 |
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type: translation
|
683 |
+
args: mar-deu
|
684 |
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dataset:
|
685 |
+
name: flores200-devtest
|
686 |
+
type: flores200-devtest
|
687 |
+
args: mar-deu
|
688 |
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metrics:
|
689 |
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690 |
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type: bleu
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691 |
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|
692 |
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693 |
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type: chrf
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694 |
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value: 0.44725
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695 |
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- task:
|
696 |
+
name: Translation mar-eng
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697 |
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type: translation
|
698 |
+
args: mar-eng
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699 |
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dataset:
|
700 |
+
name: flores200-devtest
|
701 |
+
type: flores200-devtest
|
702 |
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args: mar-eng
|
703 |
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metrics:
|
704 |
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705 |
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type: bleu
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706 |
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|
707 |
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708 |
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type: chrf
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709 |
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value: 0.58500
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710 |
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- task:
|
711 |
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name: Translation mar-fra
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712 |
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713 |
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args: mar-fra
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714 |
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dataset:
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715 |
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name: flores200-devtest
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716 |
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717 |
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args: mar-fra
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718 |
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metrics:
|
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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value: 0.47027
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725 |
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- task:
|
726 |
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name: Translation mar-por
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727 |
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type: translation
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728 |
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args: mar-por
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729 |
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dataset:
|
730 |
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731 |
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732 |
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args: mar-por
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733 |
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metrics:
|
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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type: chrf
|
739 |
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value: 0.47216
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740 |
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- task:
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741 |
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name: Translation mar-spa
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742 |
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type: translation
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743 |
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args: mar-spa
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744 |
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dataset:
|
745 |
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name: flores200-devtest
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746 |
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type: flores200-devtest
|
747 |
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args: mar-spa
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748 |
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metrics:
|
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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type: chrf
|
754 |
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value: 0.42178
|
755 |
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- task:
|
756 |
+
name: Translation npi-deu
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757 |
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type: translation
|
758 |
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args: npi-deu
|
759 |
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dataset:
|
760 |
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name: flores200-devtest
|
761 |
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type: flores200-devtest
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762 |
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args: npi-deu
|
763 |
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metrics:
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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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type: chrf
|
769 |
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value: 0.46631
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770 |
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- task:
|
771 |
+
name: Translation npi-eng
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772 |
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type: translation
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773 |
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args: npi-eng
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774 |
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dataset:
|
775 |
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name: flores200-devtest
|
776 |
+
type: flores200-devtest
|
777 |
+
args: npi-eng
|
778 |
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metrics:
|
779 |
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780 |
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type: bleu
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781 |
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|
782 |
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783 |
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type: chrf
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784 |
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value: 0.59776
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785 |
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- task:
|
786 |
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name: Translation npi-fra
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787 |
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type: translation
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788 |
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args: npi-fra
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789 |
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dataset:
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790 |
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name: flores200-devtest
|
791 |
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type: flores200-devtest
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792 |
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args: npi-fra
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793 |
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metrics:
|
794 |
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795 |
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type: bleu
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796 |
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|
797 |
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798 |
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type: chrf
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799 |
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value: 0.50548
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800 |
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- task:
|
801 |
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name: Translation npi-por
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802 |
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type: translation
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803 |
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args: npi-por
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804 |
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dataset:
|
805 |
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name: flores200-devtest
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806 |
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type: flores200-devtest
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807 |
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args: npi-por
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808 |
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metrics:
|
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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type: chrf
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814 |
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value: 0.50202
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815 |
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- task:
|
816 |
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817 |
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type: translation
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818 |
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args: npi-spa
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819 |
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dataset:
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820 |
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name: flores200-devtest
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821 |
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type: flores200-devtest
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822 |
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args: npi-spa
|
823 |
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metrics:
|
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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type: chrf
|
829 |
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value: 0.43804
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830 |
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- task:
|
831 |
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name: Translation pan-deu
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832 |
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type: translation
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833 |
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args: pan-deu
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834 |
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dataset:
|
835 |
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name: flores200-devtest
|
836 |
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type: flores200-devtest
|
837 |
+
args: pan-deu
|
838 |
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metrics:
|
839 |
+
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840 |
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type: bleu
|
841 |
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|
842 |
+
- name: chr-F
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843 |
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type: chrf
|
844 |
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value: 0.48421
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845 |
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- task:
|
846 |
+
name: Translation pan-eng
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847 |
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type: translation
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848 |
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args: pan-eng
|
849 |
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dataset:
|
850 |
+
name: flores200-devtest
|
851 |
+
type: flores200-devtest
|
852 |
+
args: pan-eng
|
853 |
+
metrics:
|
854 |
+
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|
855 |
+
type: bleu
|
856 |
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value: 33.8
|
857 |
+
- name: chr-F
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858 |
+
type: chrf
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859 |
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value: 0.60676
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860 |
+
- task:
|
861 |
+
name: Translation pan-fra
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862 |
+
type: translation
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863 |
+
args: pan-fra
|
864 |
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dataset:
|
865 |
+
name: flores200-devtest
|
866 |
+
type: flores200-devtest
|
867 |
+
args: pan-fra
|
868 |
+
metrics:
|
869 |
+
- name: BLEU
|
870 |
+
type: bleu
|
871 |
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value: 23.5
|
872 |
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- name: chr-F
|
873 |
+
type: chrf
|
874 |
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value: 0.51368
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875 |
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- task:
|
876 |
+
name: Translation pan-por
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877 |
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type: translation
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878 |
+
args: pan-por
|
879 |
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dataset:
|
880 |
+
name: flores200-devtest
|
881 |
+
type: flores200-devtest
|
882 |
+
args: pan-por
|
883 |
+
metrics:
|
884 |
+
- name: BLEU
|
885 |
+
type: bleu
|
886 |
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value: 22.7
|
887 |
+
- name: chr-F
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888 |
+
type: chrf
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889 |
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value: 0.50586
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890 |
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- task:
|
891 |
+
name: Translation pan-spa
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892 |
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type: translation
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893 |
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args: pan-spa
|
894 |
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dataset:
|
895 |
+
name: flores200-devtest
|
896 |
+
type: flores200-devtest
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897 |
+
args: pan-spa
|
898 |
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metrics:
|
899 |
+
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900 |
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type: bleu
|
901 |
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value: 16.5
|
902 |
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- name: chr-F
|
903 |
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type: chrf
|
904 |
+
value: 0.44653
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905 |
+
- task:
|
906 |
+
name: Translation san-eng
|
907 |
+
type: translation
|
908 |
+
args: san-eng
|
909 |
+
dataset:
|
910 |
+
name: flores200-devtest
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911 |
+
type: flores200-devtest
|
912 |
+
args: san-eng
|
913 |
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metrics:
|
914 |
+
- name: BLEU
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915 |
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type: bleu
|
916 |
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value: 11.8
|
917 |
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- name: chr-F
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918 |
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type: chrf
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919 |
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value: 0.36887
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920 |
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- task:
|
921 |
+
name: Translation sin-deu
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922 |
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type: translation
|
923 |
+
args: sin-deu
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924 |
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dataset:
|
925 |
+
name: flores200-devtest
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926 |
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type: flores200-devtest
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927 |
+
args: sin-deu
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928 |
+
metrics:
|
929 |
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930 |
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type: bleu
|
931 |
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value: 14.2
|
932 |
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- name: chr-F
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933 |
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type: chrf
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934 |
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value: 0.44676
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935 |
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- task:
|
936 |
+
name: Translation sin-eng
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937 |
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type: translation
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938 |
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args: sin-eng
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939 |
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dataset:
|
940 |
+
name: flores200-devtest
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941 |
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type: flores200-devtest
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942 |
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args: sin-eng
|
943 |
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metrics:
|
944 |
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- name: BLEU
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945 |
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type: bleu
|
946 |
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value: 26.8
|
947 |
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- name: chr-F
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948 |
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type: chrf
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949 |
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value: 0.54777
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950 |
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- task:
|
951 |
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name: Translation sin-fra
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952 |
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type: translation
|
953 |
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args: sin-fra
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954 |
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dataset:
|
955 |
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name: flores200-devtest
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956 |
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type: flores200-devtest
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957 |
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args: sin-fra
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958 |
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metrics:
|
959 |
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960 |
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type: bleu
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961 |
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value: 19.0
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962 |
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963 |
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type: chrf
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964 |
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value: 0.47283
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965 |
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- task:
|
966 |
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name: Translation sin-por
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967 |
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type: translation
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968 |
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args: sin-por
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969 |
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dataset:
|
970 |
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name: flores200-devtest
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971 |
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type: flores200-devtest
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972 |
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args: sin-por
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973 |
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metrics:
|
974 |
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975 |
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type: bleu
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976 |
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value: 18.4
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977 |
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978 |
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type: chrf
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979 |
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value: 0.46935
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980 |
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- task:
|
981 |
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name: Translation sin-spa
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982 |
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type: translation
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983 |
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args: sin-spa
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984 |
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dataset:
|
985 |
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name: flores200-devtest
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986 |
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type: flores200-devtest
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987 |
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args: sin-spa
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988 |
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metrics:
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989 |
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990 |
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type: bleu
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991 |
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992 |
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- name: chr-F
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993 |
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type: chrf
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994 |
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value: 0.42143
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995 |
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- task:
|
996 |
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name: Translation urd-deu
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997 |
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type: translation
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998 |
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args: urd-deu
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999 |
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dataset:
|
1000 |
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name: flores200-devtest
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1001 |
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type: flores200-devtest
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1002 |
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args: urd-deu
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1003 |
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metrics:
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1004 |
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1005 |
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type: bleu
|
1006 |
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value: 17.1
|
1007 |
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1008 |
+
type: chrf
|
1009 |
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value: 0.46542
|
1010 |
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- task:
|
1011 |
+
name: Translation urd-eng
|
1012 |
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type: translation
|
1013 |
+
args: urd-eng
|
1014 |
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dataset:
|
1015 |
+
name: flores200-devtest
|
1016 |
+
type: flores200-devtest
|
1017 |
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args: urd-eng
|
1018 |
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metrics:
|
1019 |
+
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|
1020 |
+
type: bleu
|
1021 |
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value: 29.3
|
1022 |
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1023 |
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type: chrf
|
1024 |
+
value: 0.56935
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1025 |
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- task:
|
1026 |
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name: Translation urd-fra
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1027 |
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type: translation
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1028 |
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args: urd-fra
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1029 |
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dataset:
|
1030 |
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name: flores200-devtest
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1031 |
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type: flores200-devtest
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1032 |
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args: urd-fra
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1033 |
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metrics:
|
1034 |
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1035 |
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type: bleu
|
1036 |
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|
1037 |
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1038 |
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type: chrf
|
1039 |
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value: 0.50276
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1040 |
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- task:
|
1041 |
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name: Translation urd-por
|
1042 |
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type: translation
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1043 |
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args: urd-por
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1044 |
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dataset:
|
1045 |
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name: flores200-devtest
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1046 |
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|
1047 |
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args: urd-por
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1048 |
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metrics:
|
1049 |
+
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|
1050 |
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type: bleu
|
1051 |
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value: 20.3
|
1052 |
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1053 |
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type: chrf
|
1054 |
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value: 0.48010
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1055 |
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- task:
|
1056 |
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name: Translation urd-spa
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1057 |
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type: translation
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1058 |
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args: urd-spa
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1059 |
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dataset:
|
1060 |
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name: flores200-devtest
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1061 |
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type: flores200-devtest
|
1062 |
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args: urd-spa
|
1063 |
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metrics:
|
1064 |
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1065 |
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1066 |
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1067 |
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1068 |
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type: chrf
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1069 |
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value: 0.43032
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1070 |
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- task:
|
1071 |
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name: Translation asm-por
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1072 |
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type: translation
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1073 |
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args: asm-por
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1074 |
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dataset:
|
1075 |
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name: flores101-devtest
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1076 |
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type: flores_101
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1077 |
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args: asm por devtest
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1078 |
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metrics:
|
1079 |
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1080 |
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type: bleu
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1081 |
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value: 10.0
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1082 |
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1083 |
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type: chrf
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1084 |
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value: 0.34689
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1085 |
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- task:
|
1086 |
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name: Translation ben-eng
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1087 |
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type: translation
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1088 |
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args: ben-eng
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1089 |
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dataset:
|
1090 |
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name: flores101-devtest
|
1091 |
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type: flores_101
|
1092 |
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args: ben eng devtest
|
1093 |
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metrics:
|
1094 |
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1095 |
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type: bleu
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1096 |
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value: 30.4
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1097 |
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1098 |
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type: chrf
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1099 |
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value: 0.57906
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1100 |
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- task:
|
1101 |
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name: Translation ben-fra
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1102 |
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type: translation
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1103 |
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args: ben-fra
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1104 |
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dataset:
|
1105 |
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name: flores101-devtest
|
1106 |
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type: flores_101
|
1107 |
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args: ben fra devtest
|
1108 |
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metrics:
|
1109 |
+
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1110 |
+
type: bleu
|
1111 |
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value: 21.9
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1112 |
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1113 |
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type: chrf
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1114 |
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value: 0.50109
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1115 |
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- task:
|
1116 |
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name: Translation guj-spa
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1117 |
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type: translation
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1118 |
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args: guj-spa
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1119 |
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dataset:
|
1120 |
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name: flores101-devtest
|
1121 |
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type: flores_101
|
1122 |
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args: guj spa devtest
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1123 |
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metrics:
|
1124 |
+
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1125 |
+
type: bleu
|
1126 |
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value: 15.2
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1127 |
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1128 |
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type: chrf
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1129 |
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value: 0.44065
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1130 |
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- task:
|
1131 |
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name: Translation mar-deu
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1132 |
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type: translation
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1133 |
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args: mar-deu
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1134 |
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dataset:
|
1135 |
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name: flores101-devtest
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1136 |
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type: flores_101
|
1137 |
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args: mar deu devtest
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1138 |
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metrics:
|
1139 |
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1140 |
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type: bleu
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1141 |
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value: 13.8
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1142 |
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1143 |
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type: chrf
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1144 |
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value: 0.44067
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1145 |
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- task:
|
1146 |
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name: Translation mar-por
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1147 |
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type: translation
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1148 |
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args: mar-por
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1149 |
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dataset:
|
1150 |
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name: flores101-devtest
|
1151 |
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type: flores_101
|
1152 |
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args: mar por devtest
|
1153 |
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metrics:
|
1154 |
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1155 |
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type: bleu
|
1156 |
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1157 |
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1158 |
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type: chrf
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1159 |
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value: 0.46685
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1160 |
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- task:
|
1161 |
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name: Translation mar-spa
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1162 |
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type: translation
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1163 |
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args: mar-spa
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1164 |
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dataset:
|
1165 |
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name: flores101-devtest
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1166 |
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type: flores_101
|
1167 |
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args: mar spa devtest
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1168 |
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metrics:
|
1169 |
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1170 |
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type: bleu
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1171 |
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1172 |
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1173 |
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type: chrf
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1174 |
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value: 0.41662
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1175 |
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- task:
|
1176 |
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name: Translation pan-eng
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1177 |
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type: translation
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1178 |
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args: pan-eng
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1179 |
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dataset:
|
1180 |
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name: flores101-devtest
|
1181 |
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type: flores_101
|
1182 |
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args: pan eng devtest
|
1183 |
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metrics:
|
1184 |
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1185 |
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type: bleu
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1186 |
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1187 |
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1188 |
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type: chrf
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1189 |
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value: 0.59922
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1190 |
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- task:
|
1191 |
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name: Translation pan-por
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1192 |
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type: translation
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1193 |
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args: pan-por
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1194 |
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dataset:
|
1195 |
+
name: flores101-devtest
|
1196 |
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type: flores_101
|
1197 |
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args: pan por devtest
|
1198 |
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metrics:
|
1199 |
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1200 |
+
type: bleu
|
1201 |
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value: 21.9
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1202 |
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1203 |
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type: chrf
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1204 |
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value: 0.49373
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1205 |
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- task:
|
1206 |
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name: Translation pan-spa
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1207 |
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type: translation
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1208 |
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args: pan-spa
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1209 |
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dataset:
|
1210 |
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name: flores101-devtest
|
1211 |
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type: flores_101
|
1212 |
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args: pan spa devtest
|
1213 |
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metrics:
|
1214 |
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1215 |
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type: bleu
|
1216 |
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value: 15.4
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1217 |
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1218 |
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type: chrf
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1219 |
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value: 0.43910
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1220 |
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- task:
|
1221 |
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name: Translation ben-deu
|
1222 |
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type: translation
|
1223 |
+
args: ben-deu
|
1224 |
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dataset:
|
1225 |
+
name: ntrex128
|
1226 |
+
type: ntrex128
|
1227 |
+
args: ben-deu
|
1228 |
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metrics:
|
1229 |
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1230 |
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type: bleu
|
1231 |
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value: 14.6
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1232 |
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1233 |
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type: chrf
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1234 |
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value: 0.45180
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1235 |
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- task:
|
1236 |
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name: Translation ben-eng
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1237 |
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type: translation
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1238 |
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args: ben-eng
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1239 |
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dataset:
|
1240 |
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name: ntrex128
|
1241 |
+
type: ntrex128
|
1242 |
+
args: ben-eng
|
1243 |
+
metrics:
|
1244 |
+
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1245 |
+
type: bleu
|
1246 |
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value: 29.5
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1247 |
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1248 |
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type: chrf
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1249 |
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value: 0.57247
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1250 |
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- task:
|
1251 |
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name: Translation ben-fra
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1252 |
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type: translation
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1253 |
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args: ben-fra
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1254 |
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dataset:
|
1255 |
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name: ntrex128
|
1256 |
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type: ntrex128
|
1257 |
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args: ben-fra
|
1258 |
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metrics:
|
1259 |
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1260 |
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1261 |
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1262 |
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1263 |
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type: chrf
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1264 |
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value: 0.46475
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1265 |
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|
1266 |
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name: Translation ben-por
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1267 |
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type: translation
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1268 |
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args: ben-por
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1269 |
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dataset:
|
1270 |
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name: ntrex128
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1271 |
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type: ntrex128
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1272 |
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args: ben-por
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1273 |
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metrics:
|
1274 |
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1275 |
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1276 |
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1277 |
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1278 |
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1279 |
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value: 0.45486
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1280 |
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1281 |
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name: Translation ben-spa
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1282 |
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type: translation
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1283 |
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args: ben-spa
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1284 |
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dataset:
|
1285 |
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name: ntrex128
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1286 |
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type: ntrex128
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1287 |
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args: ben-spa
|
1288 |
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metrics:
|
1289 |
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1290 |
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type: bleu
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1291 |
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value: 21.1
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1292 |
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1293 |
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type: chrf
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1294 |
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value: 0.48738
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1295 |
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- task:
|
1296 |
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name: Translation guj-deu
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1297 |
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type: translation
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1298 |
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args: guj-deu
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1299 |
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dataset:
|
1300 |
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name: ntrex128
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1301 |
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type: ntrex128
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1302 |
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args: guj-deu
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1303 |
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metrics:
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1304 |
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1305 |
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1306 |
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1307 |
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1308 |
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type: chrf
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1309 |
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value: 0.43539
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1310 |
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- task:
|
1311 |
+
name: Translation guj-eng
|
1312 |
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type: translation
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1313 |
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args: guj-eng
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1314 |
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dataset:
|
1315 |
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name: ntrex128
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1316 |
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type: ntrex128
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1317 |
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args: guj-eng
|
1318 |
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metrics:
|
1319 |
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1320 |
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type: bleu
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1321 |
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1322 |
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1323 |
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type: chrf
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1324 |
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value: 0.58894
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1325 |
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- task:
|
1326 |
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name: Translation guj-fra
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1327 |
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type: translation
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1328 |
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args: guj-fra
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1329 |
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dataset:
|
1330 |
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name: ntrex128
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1331 |
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type: ntrex128
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1332 |
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args: guj-fra
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1333 |
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metrics:
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1334 |
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1335 |
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1336 |
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1337 |
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1338 |
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type: chrf
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1339 |
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value: 0.45075
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1340 |
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- task:
|
1341 |
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name: Translation guj-por
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1342 |
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type: translation
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1343 |
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args: guj-por
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1344 |
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dataset:
|
1345 |
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name: ntrex128
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1346 |
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type: ntrex128
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1347 |
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args: guj-por
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1348 |
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metrics:
|
1349 |
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1350 |
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type: bleu
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1351 |
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value: 15.2
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1352 |
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1353 |
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type: chrf
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1354 |
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value: 0.43567
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1355 |
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- task:
|
1356 |
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name: Translation guj-spa
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1357 |
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type: translation
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1358 |
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args: guj-spa
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1359 |
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dataset:
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1360 |
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name: ntrex128
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1361 |
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type: ntrex128
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1362 |
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args: guj-spa
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1363 |
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metrics:
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1364 |
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1365 |
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1366 |
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1367 |
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1368 |
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type: chrf
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1369 |
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value: 0.47525
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1370 |
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- task:
|
1371 |
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name: Translation hin-deu
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1372 |
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type: translation
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1373 |
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args: hin-deu
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1374 |
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dataset:
|
1375 |
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name: ntrex128
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1376 |
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type: ntrex128
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1377 |
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args: hin-deu
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1378 |
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metrics:
|
1379 |
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1380 |
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1381 |
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value: 15.0
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1382 |
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1383 |
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type: chrf
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1384 |
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value: 0.46336
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1385 |
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- task:
|
1386 |
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name: Translation hin-eng
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1387 |
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type: translation
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1388 |
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args: hin-eng
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1389 |
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dataset:
|
1390 |
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name: ntrex128
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1391 |
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type: ntrex128
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1392 |
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args: hin-eng
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1393 |
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metrics:
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1394 |
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1395 |
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1396 |
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1397 |
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1398 |
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type: chrf
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1399 |
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value: 0.59842
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1400 |
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- task:
|
1401 |
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name: Translation hin-fra
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1402 |
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type: translation
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1403 |
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args: hin-fra
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1404 |
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dataset:
|
1405 |
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name: ntrex128
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1406 |
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type: ntrex128
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1407 |
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args: hin-fra
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1408 |
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metrics:
|
1409 |
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1410 |
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1411 |
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1412 |
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1413 |
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1414 |
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1415 |
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1416 |
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1417 |
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1418 |
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1419 |
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dataset:
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1420 |
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1421 |
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1422 |
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1423 |
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1424 |
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1425 |
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1426 |
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1427 |
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1428 |
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1429 |
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1430 |
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1431 |
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name: Translation hin-spa
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1432 |
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1433 |
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1434 |
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dataset:
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1435 |
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1436 |
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1437 |
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args: hin-spa
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1438 |
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metrics:
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1439 |
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1440 |
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1441 |
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1442 |
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1443 |
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1444 |
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1445 |
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1446 |
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name: Translation mar-deu
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1447 |
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1448 |
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args: mar-deu
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1449 |
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dataset:
|
1450 |
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name: ntrex128
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1451 |
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1452 |
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args: mar-deu
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1453 |
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metrics:
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1454 |
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1455 |
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1456 |
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1457 |
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1458 |
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1459 |
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1460 |
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|
1461 |
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name: Translation mar-eng
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1462 |
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1463 |
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args: mar-eng
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1464 |
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dataset:
|
1465 |
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name: ntrex128
|
1466 |
+
type: ntrex128
|
1467 |
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args: mar-eng
|
1468 |
+
metrics:
|
1469 |
+
- name: BLEU
|
1470 |
+
type: bleu
|
1471 |
+
value: 27.3
|
1472 |
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- name: chr-F
|
1473 |
+
type: chrf
|
1474 |
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value: 0.55151
|
1475 |
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- task:
|
1476 |
+
name: Translation mar-fra
|
1477 |
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type: translation
|
1478 |
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args: mar-fra
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1479 |
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dataset:
|
1480 |
+
name: ntrex128
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1481 |
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type: ntrex128
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1482 |
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args: mar-fra
|
1483 |
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metrics:
|
1484 |
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|
1485 |
+
type: bleu
|
1486 |
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value: 16.2
|
1487 |
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1488 |
+
type: chrf
|
1489 |
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value: 0.43957
|
1490 |
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- task:
|
1491 |
+
name: Translation mar-por
|
1492 |
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type: translation
|
1493 |
+
args: mar-por
|
1494 |
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dataset:
|
1495 |
+
name: ntrex128
|
1496 |
+
type: ntrex128
|
1497 |
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args: mar-por
|
1498 |
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metrics:
|
1499 |
+
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|
1500 |
+
type: bleu
|
1501 |
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value: 15.4
|
1502 |
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- name: chr-F
|
1503 |
+
type: chrf
|
1504 |
+
value: 0.43555
|
1505 |
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- task:
|
1506 |
+
name: Translation mar-spa
|
1507 |
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type: translation
|
1508 |
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args: mar-spa
|
1509 |
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dataset:
|
1510 |
+
name: ntrex128
|
1511 |
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type: ntrex128
|
1512 |
+
args: mar-spa
|
1513 |
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metrics:
|
1514 |
+
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|
1515 |
+
type: bleu
|
1516 |
+
value: 19.1
|
1517 |
+
- name: chr-F
|
1518 |
+
type: chrf
|
1519 |
+
value: 0.46271
|
1520 |
+
- task:
|
1521 |
+
name: Translation nep-deu
|
1522 |
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type: translation
|
1523 |
+
args: nep-deu
|
1524 |
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dataset:
|
1525 |
+
name: ntrex128
|
1526 |
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type: ntrex128
|
1527 |
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args: nep-deu
|
1528 |
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metrics:
|
1529 |
+
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|
1530 |
+
type: bleu
|
1531 |
+
value: 13.0
|
1532 |
+
- name: chr-F
|
1533 |
+
type: chrf
|
1534 |
+
value: 0.42940
|
1535 |
+
- task:
|
1536 |
+
name: Translation nep-eng
|
1537 |
+
type: translation
|
1538 |
+
args: nep-eng
|
1539 |
+
dataset:
|
1540 |
+
name: ntrex128
|
1541 |
+
type: ntrex128
|
1542 |
+
args: nep-eng
|
1543 |
+
metrics:
|
1544 |
+
- name: BLEU
|
1545 |
+
type: bleu
|
1546 |
+
value: 29.1
|
1547 |
+
- name: chr-F
|
1548 |
+
type: chrf
|
1549 |
+
value: 0.56277
|
1550 |
+
- task:
|
1551 |
+
name: Translation nep-fra
|
1552 |
+
type: translation
|
1553 |
+
args: nep-fra
|
1554 |
+
dataset:
|
1555 |
+
name: ntrex128
|
1556 |
+
type: ntrex128
|
1557 |
+
args: nep-fra
|
1558 |
+
metrics:
|
1559 |
+
- name: BLEU
|
1560 |
+
type: bleu
|
1561 |
+
value: 16.5
|
1562 |
+
- name: chr-F
|
1563 |
+
type: chrf
|
1564 |
+
value: 0.44663
|
1565 |
+
- task:
|
1566 |
+
name: Translation nep-por
|
1567 |
+
type: translation
|
1568 |
+
args: nep-por
|
1569 |
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dataset:
|
1570 |
+
name: ntrex128
|
1571 |
+
type: ntrex128
|
1572 |
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args: nep-por
|
1573 |
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metrics:
|
1574 |
+
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|
1575 |
+
type: bleu
|
1576 |
+
value: 15.4
|
1577 |
+
- name: chr-F
|
1578 |
+
type: chrf
|
1579 |
+
value: 0.43686
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1580 |
+
- task:
|
1581 |
+
name: Translation nep-spa
|
1582 |
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type: translation
|
1583 |
+
args: nep-spa
|
1584 |
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dataset:
|
1585 |
+
name: ntrex128
|
1586 |
+
type: ntrex128
|
1587 |
+
args: nep-spa
|
1588 |
+
metrics:
|
1589 |
+
- name: BLEU
|
1590 |
+
type: bleu
|
1591 |
+
value: 19.3
|
1592 |
+
- name: chr-F
|
1593 |
+
type: chrf
|
1594 |
+
value: 0.46553
|
1595 |
+
- task:
|
1596 |
+
name: Translation pan-deu
|
1597 |
+
type: translation
|
1598 |
+
args: pan-deu
|
1599 |
+
dataset:
|
1600 |
+
name: ntrex128
|
1601 |
+
type: ntrex128
|
1602 |
+
args: pan-deu
|
1603 |
+
metrics:
|
1604 |
+
- name: BLEU
|
1605 |
+
type: bleu
|
1606 |
+
value: 14.1
|
1607 |
+
- name: chr-F
|
1608 |
+
type: chrf
|
1609 |
+
value: 0.44036
|
1610 |
+
- task:
|
1611 |
+
name: Translation pan-eng
|
1612 |
+
type: translation
|
1613 |
+
args: pan-eng
|
1614 |
+
dataset:
|
1615 |
+
name: ntrex128
|
1616 |
+
type: ntrex128
|
1617 |
+
args: pan-eng
|
1618 |
+
metrics:
|
1619 |
+
- name: BLEU
|
1620 |
+
type: bleu
|
1621 |
+
value: 31.6
|
1622 |
+
- name: chr-F
|
1623 |
+
type: chrf
|
1624 |
+
value: 0.58427
|
1625 |
+
- task:
|
1626 |
+
name: Translation pan-fra
|
1627 |
+
type: translation
|
1628 |
+
args: pan-fra
|
1629 |
+
dataset:
|
1630 |
+
name: ntrex128
|
1631 |
+
type: ntrex128
|
1632 |
+
args: pan-fra
|
1633 |
+
metrics:
|
1634 |
+
- name: BLEU
|
1635 |
+
type: bleu
|
1636 |
+
value: 17.3
|
1637 |
+
- name: chr-F
|
1638 |
+
type: chrf
|
1639 |
+
value: 0.45593
|
1640 |
+
- task:
|
1641 |
+
name: Translation pan-por
|
1642 |
+
type: translation
|
1643 |
+
args: pan-por
|
1644 |
+
dataset:
|
1645 |
+
name: ntrex128
|
1646 |
+
type: ntrex128
|
1647 |
+
args: pan-por
|
1648 |
+
metrics:
|
1649 |
+
- name: BLEU
|
1650 |
+
type: bleu
|
1651 |
+
value: 15.9
|
1652 |
+
- name: chr-F
|
1653 |
+
type: chrf
|
1654 |
+
value: 0.44264
|
1655 |
+
- task:
|
1656 |
+
name: Translation pan-spa
|
1657 |
+
type: translation
|
1658 |
+
args: pan-spa
|
1659 |
+
dataset:
|
1660 |
+
name: ntrex128
|
1661 |
+
type: ntrex128
|
1662 |
+
args: pan-spa
|
1663 |
+
metrics:
|
1664 |
+
- name: BLEU
|
1665 |
+
type: bleu
|
1666 |
+
value: 20.0
|
1667 |
+
- name: chr-F
|
1668 |
+
type: chrf
|
1669 |
+
value: 0.47199
|
1670 |
+
- task:
|
1671 |
+
name: Translation sin-deu
|
1672 |
+
type: translation
|
1673 |
+
args: sin-deu
|
1674 |
+
dataset:
|
1675 |
+
name: ntrex128
|
1676 |
+
type: ntrex128
|
1677 |
+
args: sin-deu
|
1678 |
+
metrics:
|
1679 |
+
- name: BLEU
|
1680 |
+
type: bleu
|
1681 |
+
value: 12.4
|
1682 |
+
- name: chr-F
|
1683 |
+
type: chrf
|
1684 |
+
value: 0.42280
|
1685 |
+
- task:
|
1686 |
+
name: Translation sin-eng
|
1687 |
+
type: translation
|
1688 |
+
args: sin-eng
|
1689 |
+
dataset:
|
1690 |
+
name: ntrex128
|
1691 |
+
type: ntrex128
|
1692 |
+
args: sin-eng
|
1693 |
+
metrics:
|
1694 |
+
- name: BLEU
|
1695 |
+
type: bleu
|
1696 |
+
value: 24.6
|
1697 |
+
- name: chr-F
|
1698 |
+
type: chrf
|
1699 |
+
value: 0.52576
|
1700 |
+
- task:
|
1701 |
+
name: Translation sin-fra
|
1702 |
+
type: translation
|
1703 |
+
args: sin-fra
|
1704 |
+
dataset:
|
1705 |
+
name: ntrex128
|
1706 |
+
type: ntrex128
|
1707 |
+
args: sin-fra
|
1708 |
+
metrics:
|
1709 |
+
- name: BLEU
|
1710 |
+
type: bleu
|
1711 |
+
value: 15.6
|
1712 |
+
- name: chr-F
|
1713 |
+
type: chrf
|
1714 |
+
value: 0.43594
|
1715 |
+
- task:
|
1716 |
+
name: Translation sin-por
|
1717 |
+
type: translation
|
1718 |
+
args: sin-por
|
1719 |
+
dataset:
|
1720 |
+
name: ntrex128
|
1721 |
+
type: ntrex128
|
1722 |
+
args: sin-por
|
1723 |
+
metrics:
|
1724 |
+
- name: BLEU
|
1725 |
+
type: bleu
|
1726 |
+
value: 14.4
|
1727 |
+
- name: chr-F
|
1728 |
+
type: chrf
|
1729 |
+
value: 0.42751
|
1730 |
+
- task:
|
1731 |
+
name: Translation sin-spa
|
1732 |
+
type: translation
|
1733 |
+
args: sin-spa
|
1734 |
+
dataset:
|
1735 |
+
name: ntrex128
|
1736 |
+
type: ntrex128
|
1737 |
+
args: sin-spa
|
1738 |
+
metrics:
|
1739 |
+
- name: BLEU
|
1740 |
+
type: bleu
|
1741 |
+
value: 18.3
|
1742 |
+
- name: chr-F
|
1743 |
+
type: chrf
|
1744 |
+
value: 0.45890
|
1745 |
+
- task:
|
1746 |
+
name: Translation urd-deu
|
1747 |
+
type: translation
|
1748 |
+
args: urd-deu
|
1749 |
+
dataset:
|
1750 |
+
name: ntrex128
|
1751 |
+
type: ntrex128
|
1752 |
+
args: urd-deu
|
1753 |
+
metrics:
|
1754 |
+
- name: BLEU
|
1755 |
+
type: bleu
|
1756 |
+
value: 15.6
|
1757 |
+
- name: chr-F
|
1758 |
+
type: chrf
|
1759 |
+
value: 0.45737
|
1760 |
+
- task:
|
1761 |
+
name: Translation urd-eng
|
1762 |
+
type: translation
|
1763 |
+
args: urd-eng
|
1764 |
+
dataset:
|
1765 |
+
name: ntrex128
|
1766 |
+
type: ntrex128
|
1767 |
+
args: urd-eng
|
1768 |
+
metrics:
|
1769 |
+
- name: BLEU
|
1770 |
+
type: bleu
|
1771 |
+
value: 28.6
|
1772 |
+
- name: chr-F
|
1773 |
+
type: chrf
|
1774 |
+
value: 0.56781
|
1775 |
+
- task:
|
1776 |
+
name: Translation urd-fra
|
1777 |
+
type: translation
|
1778 |
+
args: urd-fra
|
1779 |
+
dataset:
|
1780 |
+
name: ntrex128
|
1781 |
+
type: ntrex128
|
1782 |
+
args: urd-fra
|
1783 |
+
metrics:
|
1784 |
+
- name: BLEU
|
1785 |
+
type: bleu
|
1786 |
+
value: 18.9
|
1787 |
+
- name: chr-F
|
1788 |
+
type: chrf
|
1789 |
+
value: 0.47298
|
1790 |
+
- task:
|
1791 |
+
name: Translation urd-por
|
1792 |
+
type: translation
|
1793 |
+
args: urd-por
|
1794 |
+
dataset:
|
1795 |
+
name: ntrex128
|
1796 |
+
type: ntrex128
|
1797 |
+
args: urd-por
|
1798 |
+
metrics:
|
1799 |
+
- name: BLEU
|
1800 |
+
type: bleu
|
1801 |
+
value: 16.2
|
1802 |
+
- name: chr-F
|
1803 |
+
type: chrf
|
1804 |
+
value: 0.45273
|
1805 |
+
- task:
|
1806 |
+
name: Translation urd-spa
|
1807 |
+
type: translation
|
1808 |
+
args: urd-spa
|
1809 |
+
dataset:
|
1810 |
+
name: ntrex128
|
1811 |
+
type: ntrex128
|
1812 |
+
args: urd-spa
|
1813 |
+
metrics:
|
1814 |
+
- name: BLEU
|
1815 |
+
type: bleu
|
1816 |
+
value: 21.0
|
1817 |
+
- name: chr-F
|
1818 |
+
type: chrf
|
1819 |
+
value: 0.48644
|
1820 |
+
- task:
|
1821 |
+
name: Translation awa-eng
|
1822 |
+
type: translation
|
1823 |
+
args: awa-eng
|
1824 |
+
dataset:
|
1825 |
+
name: tatoeba-test-v2021-08-07
|
1826 |
+
type: tatoeba_mt
|
1827 |
+
args: awa-eng
|
1828 |
+
metrics:
|
1829 |
+
- name: BLEU
|
1830 |
+
type: bleu
|
1831 |
+
value: 40.8
|
1832 |
+
- name: chr-F
|
1833 |
+
type: chrf
|
1834 |
+
value: 0.60390
|
1835 |
+
- task:
|
1836 |
+
name: Translation ben-eng
|
1837 |
+
type: translation
|
1838 |
+
args: ben-eng
|
1839 |
+
dataset:
|
1840 |
+
name: tatoeba-test-v2021-08-07
|
1841 |
+
type: tatoeba_mt
|
1842 |
+
args: ben-eng
|
1843 |
+
metrics:
|
1844 |
+
- name: BLEU
|
1845 |
+
type: bleu
|
1846 |
+
value: 49.4
|
1847 |
+
- name: chr-F
|
1848 |
+
type: chrf
|
1849 |
+
value: 0.64078
|
1850 |
+
- task:
|
1851 |
+
name: Translation hin-eng
|
1852 |
+
type: translation
|
1853 |
+
args: hin-eng
|
1854 |
+
dataset:
|
1855 |
+
name: tatoeba-test-v2021-08-07
|
1856 |
+
type: tatoeba_mt
|
1857 |
+
args: hin-eng
|
1858 |
+
metrics:
|
1859 |
+
- name: BLEU
|
1860 |
+
type: bleu
|
1861 |
+
value: 49.1
|
1862 |
+
- name: chr-F
|
1863 |
+
type: chrf
|
1864 |
+
value: 0.64929
|
1865 |
+
- task:
|
1866 |
+
name: Translation mar-eng
|
1867 |
+
type: translation
|
1868 |
+
args: mar-eng
|
1869 |
+
dataset:
|
1870 |
+
name: tatoeba-test-v2021-08-07
|
1871 |
+
type: tatoeba_mt
|
1872 |
+
args: mar-eng
|
1873 |
+
metrics:
|
1874 |
+
- name: BLEU
|
1875 |
+
type: bleu
|
1876 |
+
value: 48.0
|
1877 |
+
- name: chr-F
|
1878 |
+
type: chrf
|
1879 |
+
value: 0.64074
|
1880 |
+
- task:
|
1881 |
+
name: Translation multi-multi
|
1882 |
+
type: translation
|
1883 |
+
args: multi-multi
|
1884 |
+
dataset:
|
1885 |
+
name: tatoeba-test-v2020-07-28-v2023-09-26
|
1886 |
+
type: tatoeba_mt
|
1887 |
+
args: multi-multi
|
1888 |
+
metrics:
|
1889 |
+
- name: BLEU
|
1890 |
+
type: bleu
|
1891 |
+
value: 44.6
|
1892 |
+
- name: chr-F
|
1893 |
+
type: chrf
|
1894 |
+
value: 0.61360
|
1895 |
+
- task:
|
1896 |
+
name: Translation urd-eng
|
1897 |
+
type: translation
|
1898 |
+
args: urd-eng
|
1899 |
+
dataset:
|
1900 |
+
name: tatoeba-test-v2021-08-07
|
1901 |
+
type: tatoeba_mt
|
1902 |
+
args: urd-eng
|
1903 |
+
metrics:
|
1904 |
+
- name: BLEU
|
1905 |
+
type: bleu
|
1906 |
+
value: 35.0
|
1907 |
+
- name: chr-F
|
1908 |
+
type: chrf
|
1909 |
+
value: 0.52963
|
1910 |
+
- task:
|
1911 |
+
name: Translation ben-eng
|
1912 |
+
type: translation
|
1913 |
+
args: ben-eng
|
1914 |
+
dataset:
|
1915 |
+
name: tico19-test
|
1916 |
+
type: tico19-test
|
1917 |
+
args: ben-eng
|
1918 |
+
metrics:
|
1919 |
+
- name: BLEU
|
1920 |
+
type: bleu
|
1921 |
+
value: 38.2
|
1922 |
+
- name: chr-F
|
1923 |
+
type: chrf
|
1924 |
+
value: 0.64568
|
1925 |
+
- task:
|
1926 |
+
name: Translation ben-fra
|
1927 |
+
type: translation
|
1928 |
+
args: ben-fra
|
1929 |
+
dataset:
|
1930 |
+
name: tico19-test
|
1931 |
+
type: tico19-test
|
1932 |
+
args: ben-fra
|
1933 |
+
metrics:
|
1934 |
+
- name: BLEU
|
1935 |
+
type: bleu
|
1936 |
+
value: 22.0
|
1937 |
+
- name: chr-F
|
1938 |
+
type: chrf
|
1939 |
+
value: 0.49799
|
1940 |
+
- task:
|
1941 |
+
name: Translation ben-por
|
1942 |
+
type: translation
|
1943 |
+
args: ben-por
|
1944 |
+
dataset:
|
1945 |
+
name: tico19-test
|
1946 |
+
type: tico19-test
|
1947 |
+
args: ben-por
|
1948 |
+
metrics:
|
1949 |
+
- name: BLEU
|
1950 |
+
type: bleu
|
1951 |
+
value: 27.2
|
1952 |
+
- name: chr-F
|
1953 |
+
type: chrf
|
1954 |
+
value: 0.55115
|
1955 |
+
- task:
|
1956 |
+
name: Translation ben-spa
|
1957 |
+
type: translation
|
1958 |
+
args: ben-spa
|
1959 |
+
dataset:
|
1960 |
+
name: tico19-test
|
1961 |
+
type: tico19-test
|
1962 |
+
args: ben-spa
|
1963 |
+
metrics:
|
1964 |
+
- name: BLEU
|
1965 |
+
type: bleu
|
1966 |
+
value: 29.9
|
1967 |
+
- name: chr-F
|
1968 |
+
type: chrf
|
1969 |
+
value: 0.56847
|
1970 |
+
- task:
|
1971 |
+
name: Translation hin-eng
|
1972 |
+
type: translation
|
1973 |
+
args: hin-eng
|
1974 |
+
dataset:
|
1975 |
+
name: tico19-test
|
1976 |
+
type: tico19-test
|
1977 |
+
args: hin-eng
|
1978 |
+
metrics:
|
1979 |
+
- name: BLEU
|
1980 |
+
type: bleu
|
1981 |
+
value: 46.6
|
1982 |
+
- name: chr-F
|
1983 |
+
type: chrf
|
1984 |
+
value: 0.70694
|
1985 |
+
- task:
|
1986 |
+
name: Translation hin-fra
|
1987 |
+
type: translation
|
1988 |
+
args: hin-fra
|
1989 |
+
dataset:
|
1990 |
+
name: tico19-test
|
1991 |
+
type: tico19-test
|
1992 |
+
args: hin-fra
|
1993 |
+
metrics:
|
1994 |
+
- name: BLEU
|
1995 |
+
type: bleu
|
1996 |
+
value: 26.7
|
1997 |
+
- name: chr-F
|
1998 |
+
type: chrf
|
1999 |
+
value: 0.53932
|
2000 |
+
- task:
|
2001 |
+
name: Translation hin-por
|
2002 |
+
type: translation
|
2003 |
+
args: hin-por
|
2004 |
+
dataset:
|
2005 |
+
name: tico19-test
|
2006 |
+
type: tico19-test
|
2007 |
+
args: hin-por
|
2008 |
+
metrics:
|
2009 |
+
- name: BLEU
|
2010 |
+
type: bleu
|
2011 |
+
value: 33.4
|
2012 |
+
- name: chr-F
|
2013 |
+
type: chrf
|
2014 |
+
value: 0.60581
|
2015 |
+
- task:
|
2016 |
+
name: Translation hin-spa
|
2017 |
+
type: translation
|
2018 |
+
args: hin-spa
|
2019 |
+
dataset:
|
2020 |
+
name: tico19-test
|
2021 |
+
type: tico19-test
|
2022 |
+
args: hin-spa
|
2023 |
+
metrics:
|
2024 |
+
- name: BLEU
|
2025 |
+
type: bleu
|
2026 |
+
value: 35.7
|
2027 |
+
- name: chr-F
|
2028 |
+
type: chrf
|
2029 |
+
value: 0.61585
|
2030 |
+
- task:
|
2031 |
+
name: Translation mar-eng
|
2032 |
+
type: translation
|
2033 |
+
args: mar-eng
|
2034 |
+
dataset:
|
2035 |
+
name: tico19-test
|
2036 |
+
type: tico19-test
|
2037 |
+
args: mar-eng
|
2038 |
+
metrics:
|
2039 |
+
- name: BLEU
|
2040 |
+
type: bleu
|
2041 |
+
value: 31.8
|
2042 |
+
- name: chr-F
|
2043 |
+
type: chrf
|
2044 |
+
value: 0.59329
|
2045 |
+
- task:
|
2046 |
+
name: Translation mar-fra
|
2047 |
+
type: translation
|
2048 |
+
args: mar-fra
|
2049 |
+
dataset:
|
2050 |
+
name: tico19-test
|
2051 |
+
type: tico19-test
|
2052 |
+
args: mar-fra
|
2053 |
+
metrics:
|
2054 |
+
- name: BLEU
|
2055 |
+
type: bleu
|
2056 |
+
value: 19.3
|
2057 |
+
- name: chr-F
|
2058 |
+
type: chrf
|
2059 |
+
value: 0.46574
|
2060 |
+
- task:
|
2061 |
+
name: Translation mar-por
|
2062 |
+
type: translation
|
2063 |
+
args: mar-por
|
2064 |
+
dataset:
|
2065 |
+
name: tico19-test
|
2066 |
+
type: tico19-test
|
2067 |
+
args: mar-por
|
2068 |
+
metrics:
|
2069 |
+
- name: BLEU
|
2070 |
+
type: bleu
|
2071 |
+
value: 23.6
|
2072 |
+
- name: chr-F
|
2073 |
+
type: chrf
|
2074 |
+
value: 0.51463
|
2075 |
+
- task:
|
2076 |
+
name: Translation mar-spa
|
2077 |
+
type: translation
|
2078 |
+
args: mar-spa
|
2079 |
+
dataset:
|
2080 |
+
name: tico19-test
|
2081 |
+
type: tico19-test
|
2082 |
+
args: mar-spa
|
2083 |
+
metrics:
|
2084 |
+
- name: BLEU
|
2085 |
+
type: bleu
|
2086 |
+
value: 25.7
|
2087 |
+
- name: chr-F
|
2088 |
+
type: chrf
|
2089 |
+
value: 0.52551
|
2090 |
+
- task:
|
2091 |
+
name: Translation nep-eng
|
2092 |
+
type: translation
|
2093 |
+
args: nep-eng
|
2094 |
+
dataset:
|
2095 |
+
name: tico19-test
|
2096 |
+
type: tico19-test
|
2097 |
+
args: nep-eng
|
2098 |
+
metrics:
|
2099 |
+
- name: BLEU
|
2100 |
+
type: bleu
|
2101 |
+
value: 40.7
|
2102 |
+
- name: chr-F
|
2103 |
+
type: chrf
|
2104 |
+
value: 0.66283
|
2105 |
+
- task:
|
2106 |
+
name: Translation nep-fra
|
2107 |
+
type: translation
|
2108 |
+
args: nep-fra
|
2109 |
+
dataset:
|
2110 |
+
name: tico19-test
|
2111 |
+
type: tico19-test
|
2112 |
+
args: nep-fra
|
2113 |
+
metrics:
|
2114 |
+
- name: BLEU
|
2115 |
+
type: bleu
|
2116 |
+
value: 22.8
|
2117 |
+
- name: chr-F
|
2118 |
+
type: chrf
|
2119 |
+
value: 0.50397
|
2120 |
+
- task:
|
2121 |
+
name: Translation nep-por
|
2122 |
+
type: translation
|
2123 |
+
args: nep-por
|
2124 |
+
dataset:
|
2125 |
+
name: tico19-test
|
2126 |
+
type: tico19-test
|
2127 |
+
args: nep-por
|
2128 |
+
metrics:
|
2129 |
+
- name: BLEU
|
2130 |
+
type: bleu
|
2131 |
+
value: 28.1
|
2132 |
+
- name: chr-F
|
2133 |
+
type: chrf
|
2134 |
+
value: 0.55951
|
2135 |
+
- task:
|
2136 |
+
name: Translation nep-spa
|
2137 |
+
type: translation
|
2138 |
+
args: nep-spa
|
2139 |
+
dataset:
|
2140 |
+
name: tico19-test
|
2141 |
+
type: tico19-test
|
2142 |
+
args: nep-spa
|
2143 |
+
metrics:
|
2144 |
+
- name: BLEU
|
2145 |
+
type: bleu
|
2146 |
+
value: 30.3
|
2147 |
+
- name: chr-F
|
2148 |
+
type: chrf
|
2149 |
+
value: 0.57272
|
2150 |
+
- task:
|
2151 |
+
name: Translation urd-eng
|
2152 |
+
type: translation
|
2153 |
+
args: urd-eng
|
2154 |
+
dataset:
|
2155 |
+
name: tico19-test
|
2156 |
+
type: tico19-test
|
2157 |
+
args: urd-eng
|
2158 |
+
metrics:
|
2159 |
+
- name: BLEU
|
2160 |
+
type: bleu
|
2161 |
+
value: 30.5
|
2162 |
+
- name: chr-F
|
2163 |
+
type: chrf
|
2164 |
+
value: 0.57473
|
2165 |
+
- task:
|
2166 |
+
name: Translation urd-fra
|
2167 |
+
type: translation
|
2168 |
+
args: urd-fra
|
2169 |
+
dataset:
|
2170 |
+
name: tico19-test
|
2171 |
+
type: tico19-test
|
2172 |
+
args: urd-fra
|
2173 |
+
metrics:
|
2174 |
+
- name: BLEU
|
2175 |
+
type: bleu
|
2176 |
+
value: 19.6
|
2177 |
+
- name: chr-F
|
2178 |
+
type: chrf
|
2179 |
+
value: 0.46725
|
2180 |
+
- task:
|
2181 |
+
name: Translation urd-por
|
2182 |
+
type: translation
|
2183 |
+
args: urd-por
|
2184 |
+
dataset:
|
2185 |
+
name: tico19-test
|
2186 |
+
type: tico19-test
|
2187 |
+
args: urd-por
|
2188 |
+
metrics:
|
2189 |
+
- name: BLEU
|
2190 |
+
type: bleu
|
2191 |
+
value: 23.5
|
2192 |
+
- name: chr-F
|
2193 |
+
type: chrf
|
2194 |
+
value: 0.50913
|
2195 |
+
- task:
|
2196 |
+
name: Translation urd-spa
|
2197 |
+
type: translation
|
2198 |
+
args: urd-spa
|
2199 |
+
dataset:
|
2200 |
+
name: tico19-test
|
2201 |
+
type: tico19-test
|
2202 |
+
args: urd-spa
|
2203 |
+
metrics:
|
2204 |
+
- name: BLEU
|
2205 |
+
type: bleu
|
2206 |
+
value: 25.8
|
2207 |
+
- name: chr-F
|
2208 |
+
type: chrf
|
2209 |
+
value: 0.52387
|
2210 |
+
- task:
|
2211 |
+
name: Translation hin-eng
|
2212 |
+
type: translation
|
2213 |
+
args: hin-eng
|
2214 |
+
dataset:
|
2215 |
+
name: newstest2014
|
2216 |
+
type: wmt-2014-news
|
2217 |
+
args: hin-eng
|
2218 |
+
metrics:
|
2219 |
+
- name: BLEU
|
2220 |
+
type: bleu
|
2221 |
+
value: 30.3
|
2222 |
+
- name: chr-F
|
2223 |
+
type: chrf
|
2224 |
+
value: 0.59329
|
2225 |
+
- task:
|
2226 |
+
name: Translation guj-eng
|
2227 |
+
type: translation
|
2228 |
+
args: guj-eng
|
2229 |
+
dataset:
|
2230 |
+
name: newstest2019
|
2231 |
+
type: wmt-2019-news
|
2232 |
+
args: guj-eng
|
2233 |
+
metrics:
|
2234 |
+
- name: BLEU
|
2235 |
+
type: bleu
|
2236 |
+
value: 26.9
|
2237 |
+
- name: chr-F
|
2238 |
+
type: chrf
|
2239 |
+
value: 0.53383
|
2240 |
+
---
|
2241 |
+
# opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa
|
2242 |
+
|
2243 |
+
## Table of Contents
|
2244 |
+
- [Model Details](#model-details)
|
2245 |
+
- [Uses](#uses)
|
2246 |
+
- [Risks, Limitations and Biases](#risks-limitations-and-biases)
|
2247 |
+
- [How to Get Started With the Model](#how-to-get-started-with-the-model)
|
2248 |
+
- [Training](#training)
|
2249 |
+
- [Evaluation](#evaluation)
|
2250 |
+
- [Citation Information](#citation-information)
|
2251 |
+
- [Acknowledgements](#acknowledgements)
|
2252 |
+
|
2253 |
+
## Model Details
|
2254 |
+
|
2255 |
+
Neural machine translation model for translating from Indic languages (inc) to unknown (deu+eng+fra+por+spa).
|
2256 |
+
|
2257 |
+
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).
|
2258 |
+
**Model Description:**
|
2259 |
+
- **Developed by:** Language Technology Research Group at the University of Helsinki
|
2260 |
+
- **Model Type:** Translation (transformer-big)
|
2261 |
+
- **Release**: 2024-05-30
|
2262 |
+
- **License:** Apache-2.0
|
2263 |
+
- **Language(s):**
|
2264 |
+
- Source Language(s): anp asm awa ben bho bpy div dty gbm guj hif hin hne hns kas kok lah mag mai mar nep npi ori pan pli rhg rmy rom san sin skr snd syl urd
|
2265 |
+
- Target Language(s): deu eng fra por spa
|
2266 |
+
- Valid Target Language Labels: >>deu<< >>eng<< >>fra<< >>por<< >>spa<< >>xxx<<
|
2267 |
+
- **Original Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
|
2268 |
+
- **Resources for more information:**
|
2269 |
+
- [OPUS-MT dashboard](https://opus.nlpl.eu/dashboard/index.php?pkg=opusmt&test=all&scoreslang=all&chart=standard&model=Tatoeba-MT-models/inc-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
|
2270 |
+
- [OPUS-MT-train GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
2271 |
+
- [More information about MarianNMT models in the transformers library](https://huggingface.co/docs/transformers/model_doc/marian)
|
2272 |
+
- [Tatoeba Translation Challenge](https://github.com/Helsinki-NLP/Tatoeba-Challenge/)
|
2273 |
+
- [HPLT bilingual data v1 (as part of the Tatoeba Translation Challenge dataset)](https://hplt-project.org/datasets/v1)
|
2274 |
+
- [A massively parallel Bible corpus](https://aclanthology.org/L14-1215/)
|
2275 |
+
|
2276 |
+
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<<`
|
2277 |
+
|
2278 |
+
## Uses
|
2279 |
+
|
2280 |
+
This model can be used for translation and text-to-text generation.
|
2281 |
+
|
2282 |
+
## Risks, Limitations and Biases
|
2283 |
+
|
2284 |
+
**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.**
|
2285 |
+
|
2286 |
+
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)).
|
2287 |
+
|
2288 |
+
## How to Get Started With the Model
|
2289 |
+
|
2290 |
+
A short example code:
|
2291 |
+
|
2292 |
+
```python
|
2293 |
+
from transformers import MarianMTModel, MarianTokenizer
|
2294 |
+
|
2295 |
+
src_text = [
|
2296 |
+
">>deu<< Replace this with text in an accepted source language.",
|
2297 |
+
">>spa<< This is the second sentence."
|
2298 |
+
]
|
2299 |
+
|
2300 |
+
model_name = "pytorch-models/opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa"
|
2301 |
+
tokenizer = MarianTokenizer.from_pretrained(model_name)
|
2302 |
+
model = MarianMTModel.from_pretrained(model_name)
|
2303 |
+
translated = model.generate(**tokenizer(src_text, return_tensors="pt", padding=True))
|
2304 |
+
|
2305 |
+
for t in translated:
|
2306 |
+
print( tokenizer.decode(t, skip_special_tokens=True) )
|
2307 |
+
```
|
2308 |
+
|
2309 |
+
You can also use OPUS-MT models with the transformers pipelines, for example:
|
2310 |
+
|
2311 |
+
```python
|
2312 |
+
from transformers import pipeline
|
2313 |
+
pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-bible-big-inc-deu_eng_fra_por_spa")
|
2314 |
+
print(pipe(">>deu<< Replace this with text in an accepted source language."))
|
2315 |
+
```
|
2316 |
+
|
2317 |
+
## Training
|
2318 |
+
|
2319 |
+
- **Data**: opusTCv20230926max50+bt+jhubc ([source](https://github.com/Helsinki-NLP/Tatoeba-Challenge))
|
2320 |
+
- **Pre-processing**: SentencePiece (spm32k,spm32k)
|
2321 |
+
- **Model Type:** transformer-big
|
2322 |
+
- **Original MarianNMT Model**: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30.zip)
|
2323 |
+
- **Training Scripts**: [GitHub Repo](https://github.com/Helsinki-NLP/OPUS-MT-train)
|
2324 |
+
|
2325 |
+
## Evaluation
|
2326 |
+
|
2327 |
+
* [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/inc-deu%2Beng%2Bfra%2Bpor%2Bspa/opusTCv20230926max50%2Bbt%2Bjhubc_transformer-big_2024-05-30)
|
2328 |
+
* test set translations: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.test.txt)
|
2329 |
+
* test set scores: [opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt](https://object.pouta.csc.fi/Tatoeba-MT-models/inc-deu+eng+fra+por+spa/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-29.eval.txt)
|
2330 |
+
* benchmark results: [benchmark_results.txt](benchmark_results.txt)
|
2331 |
+
* benchmark output: [benchmark_translations.zip](benchmark_translations.zip)
|
2332 |
+
|
2333 |
+
| langpair | testset | chr-F | BLEU | #sent | #words |
|
2334 |
+
|----------|---------|-------|-------|-------|--------|
|
2335 |
+
| awa-eng | tatoeba-test-v2021-08-07 | 0.60390 | 40.8 | 279 | 1335 |
|
2336 |
+
| ben-eng | tatoeba-test-v2021-08-07 | 0.64078 | 49.4 | 2500 | 13978 |
|
2337 |
+
| hin-eng | tatoeba-test-v2021-08-07 | 0.64929 | 49.1 | 5000 | 33943 |
|
2338 |
+
| mar-eng | tatoeba-test-v2021-08-07 | 0.64074 | 48.0 | 10396 | 67527 |
|
2339 |
+
| urd-eng | tatoeba-test-v2021-08-07 | 0.52963 | 35.0 | 1663 | 12029 |
|
2340 |
+
| ben-eng | flores101-devtest | 0.57906 | 30.4 | 1012 | 24721 |
|
2341 |
+
| ben-fra | flores101-devtest | 0.50109 | 21.9 | 1012 | 28343 |
|
2342 |
+
| guj-spa | flores101-devtest | 0.44065 | 15.2 | 1012 | 29199 |
|
2343 |
+
| mar-deu | flores101-devtest | 0.44067 | 13.8 | 1012 | 25094 |
|
2344 |
+
| mar-por | flores101-devtest | 0.46685 | 18.6 | 1012 | 26519 |
|
2345 |
+
| mar-spa | flores101-devtest | 0.41662 | 14.0 | 1012 | 29199 |
|
2346 |
+
| pan-eng | flores101-devtest | 0.59922 | 33.0 | 1012 | 24721 |
|
2347 |
+
| pan-por | flores101-devtest | 0.49373 | 21.9 | 1012 | 26519 |
|
2348 |
+
| pan-spa | flores101-devtest | 0.43910 | 15.4 | 1012 | 29199 |
|
2349 |
+
| asm-eng | flores200-devtest | 0.48584 | 21.9 | 1012 | 24721 |
|
2350 |
+
| awa-deu | flores200-devtest | 0.47173 | 16.5 | 1012 | 25094 |
|
2351 |
+
| awa-eng | flores200-devtest | 0.50582 | 24.5 | 1012 | 24721 |
|
2352 |
+
| awa-fra | flores200-devtest | 0.49682 | 21.4 | 1012 | 28343 |
|
2353 |
+
| awa-por | flores200-devtest | 0.49663 | 21.5 | 1012 | 26519 |
|
2354 |
+
| awa-spa | flores200-devtest | 0.43740 | 15.1 | 1012 | 29199 |
|
2355 |
+
| ben-deu | flores200-devtest | 0.47330 | 16.6 | 1012 | 25094 |
|
2356 |
+
| ben-eng | flores200-devtest | 0.58077 | 30.5 | 1012 | 24721 |
|
2357 |
+
| ben-fra | flores200-devtest | 0.50884 | 22.6 | 1012 | 28343 |
|
2358 |
+
| ben-por | flores200-devtest | 0.50054 | 21.4 | 1012 | 26519 |
|
2359 |
+
| ben-spa | flores200-devtest | 0.44159 | 15.2 | 1012 | 29199 |
|
2360 |
+
| bho-deu | flores200-devtest | 0.42660 | 12.6 | 1012 | 25094 |
|
2361 |
+
| bho-eng | flores200-devtest | 0.50609 | 22.7 | 1012 | 24721 |
|
2362 |
+
| bho-fra | flores200-devtest | 0.44889 | 16.8 | 1012 | 28343 |
|
2363 |
+
| bho-por | flores200-devtest | 0.44582 | 16.9 | 1012 | 26519 |
|
2364 |
+
| bho-spa | flores200-devtest | 0.40581 | 13.1 | 1012 | 29199 |
|
2365 |
+
| guj-deu | flores200-devtest | 0.46665 | 16.8 | 1012 | 25094 |
|
2366 |
+
| guj-eng | flores200-devtest | 0.61383 | 34.3 | 1012 | 24721 |
|
2367 |
+
| guj-fra | flores200-devtest | 0.50410 | 22.3 | 1012 | 28343 |
|
2368 |
+
| guj-por | flores200-devtest | 0.49257 | 21.3 | 1012 | 26519 |
|
2369 |
+
| guj-spa | flores200-devtest | 0.44565 | 15.6 | 1012 | 29199 |
|
2370 |
+
| hin-deu | flores200-devtest | 0.50226 | 20.4 | 1012 | 25094 |
|
2371 |
+
| hin-eng | flores200-devtest | 0.63336 | 37.3 | 1012 | 24721 |
|
2372 |
+
| hin-fra | flores200-devtest | 0.53701 | 25.9 | 1012 | 28343 |
|
2373 |
+
| hin-por | flores200-devtest | 0.53448 | 25.5 | 1012 | 26519 |
|
2374 |
+
| hin-spa | flores200-devtest | 0.46171 | 17.2 | 1012 | 29199 |
|
2375 |
+
| hne-deu | flores200-devtest | 0.49698 | 19.0 | 1012 | 25094 |
|
2376 |
+
| hne-eng | flores200-devtest | 0.63936 | 38.5 | 1012 | 24721 |
|
2377 |
+
| hne-fra | flores200-devtest | 0.52835 | 25.3 | 1012 | 28343 |
|
2378 |
+
| hne-por | flores200-devtest | 0.52788 | 25.0 | 1012 | 26519 |
|
2379 |
+
| hne-spa | flores200-devtest | 0.45443 | 16.7 | 1012 | 29199 |
|
2380 |
+
| mag-deu | flores200-devtest | 0.50359 | 19.7 | 1012 | 25094 |
|
2381 |
+
| mag-eng | flores200-devtest | 0.63906 | 38.0 | 1012 | 24721 |
|
2382 |
+
| mag-fra | flores200-devtest | 0.53616 | 25.8 | 1012 | 28343 |
|
2383 |
+
| mag-por | flores200-devtest | 0.53537 | 25.9 | 1012 | 26519 |
|
2384 |
+
| mag-spa | flores200-devtest | 0.45822 | 16.9 | 1012 | 29199 |
|
2385 |
+
| mai-deu | flores200-devtest | 0.46791 | 16.2 | 1012 | 25094 |
|
2386 |
+
| mai-eng | flores200-devtest | 0.57461 | 30.4 | 1012 | 24721 |
|
2387 |
+
| mai-fra | flores200-devtest | 0.50585 | 22.1 | 1012 | 28343 |
|
2388 |
+
| mai-por | flores200-devtest | 0.50490 | 22.0 | 1012 | 26519 |
|
2389 |
+
| mai-spa | flores200-devtest | 0.44366 | 15.3 | 1012 | 29199 |
|
2390 |
+
| mar-deu | flores200-devtest | 0.44725 | 14.5 | 1012 | 25094 |
|
2391 |
+
| mar-eng | flores200-devtest | 0.58500 | 31.4 | 1012 | 24721 |
|
2392 |
+
| mar-fra | flores200-devtest | 0.47027 | 19.5 | 1012 | 28343 |
|
2393 |
+
| mar-por | flores200-devtest | 0.47216 | 19.3 | 1012 | 26519 |
|
2394 |
+
| mar-spa | flores200-devtest | 0.42178 | 14.2 | 1012 | 29199 |
|
2395 |
+
| npi-deu | flores200-devtest | 0.46631 | 16.4 | 1012 | 25094 |
|
2396 |
+
| npi-eng | flores200-devtest | 0.59776 | 32.3 | 1012 | 24721 |
|
2397 |
+
| npi-fra | flores200-devtest | 0.50548 | 22.5 | 1012 | 28343 |
|
2398 |
+
| npi-por | flores200-devtest | 0.50202 | 21.7 | 1012 | 26519 |
|
2399 |
+
| npi-spa | flores200-devtest | 0.43804 | 15.3 | 1012 | 29199 |
|
2400 |
+
| pan-deu | flores200-devtest | 0.48421 | 18.7 | 1012 | 25094 |
|
2401 |
+
| pan-eng | flores200-devtest | 0.60676 | 33.8 | 1012 | 24721 |
|
2402 |
+
| pan-fra | flores200-devtest | 0.51368 | 23.5 | 1012 | 28343 |
|
2403 |
+
| pan-por | flores200-devtest | 0.50586 | 22.7 | 1012 | 26519 |
|
2404 |
+
| pan-spa | flores200-devtest | 0.44653 | 16.5 | 1012 | 29199 |
|
2405 |
+
| sin-deu | flores200-devtest | 0.44676 | 14.2 | 1012 | 25094 |
|
2406 |
+
| sin-eng | flores200-devtest | 0.54777 | 26.8 | 1012 | 24721 |
|
2407 |
+
| sin-fra | flores200-devtest | 0.47283 | 19.0 | 1012 | 28343 |
|
2408 |
+
| sin-por | flores200-devtest | 0.46935 | 18.4 | 1012 | 26519 |
|
2409 |
+
| sin-spa | flores200-devtest | 0.42143 | 13.7 | 1012 | 29199 |
|
2410 |
+
| urd-deu | flores200-devtest | 0.46542 | 17.1 | 1012 | 25094 |
|
2411 |
+
| urd-eng | flores200-devtest | 0.56935 | 29.3 | 1012 | 24721 |
|
2412 |
+
| urd-fra | flores200-devtest | 0.50276 | 22.3 | 1012 | 28343 |
|
2413 |
+
| urd-por | flores200-devtest | 0.48010 | 20.3 | 1012 | 26519 |
|
2414 |
+
| urd-spa | flores200-devtest | 0.43032 | 14.7 | 1012 | 29199 |
|
2415 |
+
| hin-eng | newstest2014 | 0.59329 | 30.3 | 2507 | 55571 |
|
2416 |
+
| guj-eng | newstest2019 | 0.53383 | 26.9 | 1016 | 17757 |
|
2417 |
+
| ben-deu | ntrex128 | 0.45180 | 14.6 | 1997 | 48761 |
|
2418 |
+
| ben-eng | ntrex128 | 0.57247 | 29.5 | 1997 | 47673 |
|
2419 |
+
| ben-fra | ntrex128 | 0.46475 | 18.0 | 1997 | 53481 |
|
2420 |
+
| ben-por | ntrex128 | 0.45486 | 16.8 | 1997 | 51631 |
|
2421 |
+
| ben-spa | ntrex128 | 0.48738 | 21.1 | 1997 | 54107 |
|
2422 |
+
| guj-deu | ntrex128 | 0.43539 | 13.9 | 1997 | 48761 |
|
2423 |
+
| guj-eng | ntrex128 | 0.58894 | 31.6 | 1997 | 47673 |
|
2424 |
+
| guj-fra | ntrex128 | 0.45075 | 16.9 | 1997 | 53481 |
|
2425 |
+
| guj-por | ntrex128 | 0.43567 | 15.2 | 1997 | 51631 |
|
2426 |
+
| guj-spa | ntrex128 | 0.47525 | 20.2 | 1997 | 54107 |
|
2427 |
+
| hin-deu | ntrex128 | 0.46336 | 15.0 | 1997 | 48761 |
|
2428 |
+
| hin-eng | ntrex128 | 0.59842 | 31.5 | 1997 | 47673 |
|
2429 |
+
| hin-fra | ntrex128 | 0.48208 | 19.2 | 1997 | 53481 |
|
2430 |
+
| hin-por | ntrex128 | 0.46509 | 17.6 | 1997 | 51631 |
|
2431 |
+
| hin-spa | ntrex128 | 0.49436 | 21.8 | 1997 | 54107 |
|
2432 |
+
| mar-deu | ntrex128 | 0.43119 | 12.8 | 1997 | 48761 |
|
2433 |
+
| mar-eng | ntrex128 | 0.55151 | 27.3 | 1997 | 47673 |
|
2434 |
+
| mar-fra | ntrex128 | 0.43957 | 16.2 | 1997 | 53481 |
|
2435 |
+
| mar-por | ntrex128 | 0.43555 | 15.4 | 1997 | 51631 |
|
2436 |
+
| mar-spa | ntrex128 | 0.46271 | 19.1 | 1997 | 54107 |
|
2437 |
+
| nep-deu | ntrex128 | 0.42940 | 13.0 | 1997 | 48761 |
|
2438 |
+
| nep-eng | ntrex128 | 0.56277 | 29.1 | 1997 | 47673 |
|
2439 |
+
| nep-fra | ntrex128 | 0.44663 | 16.5 | 1997 | 53481 |
|
2440 |
+
| nep-por | ntrex128 | 0.43686 | 15.4 | 1997 | 51631 |
|
2441 |
+
| nep-spa | ntrex128 | 0.46553 | 19.3 | 1997 | 54107 |
|
2442 |
+
| pan-deu | ntrex128 | 0.44036 | 14.1 | 1997 | 48761 |
|
2443 |
+
| pan-eng | ntrex128 | 0.58427 | 31.6 | 1997 | 47673 |
|
2444 |
+
| pan-fra | ntrex128 | 0.45593 | 17.3 | 1997 | 53481 |
|
2445 |
+
| pan-por | ntrex128 | 0.44264 | 15.9 | 1997 | 51631 |
|
2446 |
+
| pan-spa | ntrex128 | 0.47199 | 20.0 | 1997 | 54107 |
|
2447 |
+
| sin-deu | ntrex128 | 0.42280 | 12.4 | 1997 | 48761 |
|
2448 |
+
| sin-eng | ntrex128 | 0.52576 | 24.6 | 1997 | 47673 |
|
2449 |
+
| sin-fra | ntrex128 | 0.43594 | 15.6 | 1997 | 53481 |
|
2450 |
+
| sin-por | ntrex128 | 0.42751 | 14.4 | 1997 | 51631 |
|
2451 |
+
| sin-spa | ntrex128 | 0.45890 | 18.3 | 1997 | 54107 |
|
2452 |
+
| urd-deu | ntrex128 | 0.45737 | 15.6 | 1997 | 48761 |
|
2453 |
+
| urd-eng | ntrex128 | 0.56781 | 28.6 | 1997 | 47673 |
|
2454 |
+
| urd-fra | ntrex128 | 0.47298 | 18.9 | 1997 | 53481 |
|
2455 |
+
| urd-por | ntrex128 | 0.45273 | 16.2 | 1997 | 51631 |
|
2456 |
+
| urd-spa | ntrex128 | 0.48644 | 21.0 | 1997 | 54107 |
|
2457 |
+
| ben-eng | tico19-test | 0.64568 | 38.2 | 2100 | 56824 |
|
2458 |
+
| ben-fra | tico19-test | 0.49799 | 22.0 | 2100 | 64661 |
|
2459 |
+
| ben-por | tico19-test | 0.55115 | 27.2 | 2100 | 62729 |
|
2460 |
+
| ben-spa | tico19-test | 0.56847 | 29.9 | 2100 | 66563 |
|
2461 |
+
| hin-eng | tico19-test | 0.70694 | 46.6 | 2100 | 56323 |
|
2462 |
+
| hin-fra | tico19-test | 0.53932 | 26.7 | 2100 | 64661 |
|
2463 |
+
| hin-por | tico19-test | 0.60581 | 33.4 | 2100 | 62729 |
|
2464 |
+
| hin-spa | tico19-test | 0.61585 | 35.7 | 2100 | 66563 |
|
2465 |
+
| mar-eng | tico19-test | 0.59329 | 31.8 | 2100 | 56315 |
|
2466 |
+
| mar-fra | tico19-test | 0.46574 | 19.3 | 2100 | 64661 |
|
2467 |
+
| mar-por | tico19-test | 0.51463 | 23.6 | 2100 | 62729 |
|
2468 |
+
| mar-spa | tico19-test | 0.52551 | 25.7 | 2100 | 66563 |
|
2469 |
+
| nep-eng | tico19-test | 0.66283 | 40.7 | 2100 | 56824 |
|
2470 |
+
| nep-fra | tico19-test | 0.50397 | 22.8 | 2100 | 64661 |
|
2471 |
+
| nep-por | tico19-test | 0.55951 | 28.1 | 2100 | 62729 |
|
2472 |
+
| nep-spa | tico19-test | 0.57272 | 30.3 | 2100 | 66563 |
|
2473 |
+
| urd-eng | tico19-test | 0.57473 | 30.5 | 2100 | 56315 |
|
2474 |
+
| urd-fra | tico19-test | 0.46725 | 19.6 | 2100 | 64661 |
|
2475 |
+
| urd-por | tico19-test | 0.50913 | 23.5 | 2100 | 62729 |
|
2476 |
+
| urd-spa | tico19-test | 0.52387 | 25.8 | 2100 | 66563 |
|
2477 |
+
|
2478 |
+
## Citation Information
|
2479 |
+
|
2480 |
+
* 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.)
|
2481 |
+
|
2482 |
+
```bibtex
|
2483 |
+
@article{tiedemann2023democratizing,
|
2484 |
+
title={Democratizing neural machine translation with {OPUS-MT}},
|
2485 |
+
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},
|
2486 |
+
journal={Language Resources and Evaluation},
|
2487 |
+
number={58},
|
2488 |
+
pages={713--755},
|
2489 |
+
year={2023},
|
2490 |
+
publisher={Springer Nature},
|
2491 |
+
issn={1574-0218},
|
2492 |
+
doi={10.1007/s10579-023-09704-w}
|
2493 |
+
}
|
2494 |
+
|
2495 |
+
@inproceedings{tiedemann-thottingal-2020-opus,
|
2496 |
+
title = "{OPUS}-{MT} {--} Building open translation services for the World",
|
2497 |
+
author = {Tiedemann, J{\"o}rg and Thottingal, Santhosh},
|
2498 |
+
booktitle = "Proceedings of the 22nd Annual Conference of the European Association for Machine Translation",
|
2499 |
+
month = nov,
|
2500 |
+
year = "2020",
|
2501 |
+
address = "Lisboa, Portugal",
|
2502 |
+
publisher = "European Association for Machine Translation",
|
2503 |
+
url = "https://aclanthology.org/2020.eamt-1.61",
|
2504 |
+
pages = "479--480",
|
2505 |
+
}
|
2506 |
+
|
2507 |
+
@inproceedings{tiedemann-2020-tatoeba,
|
2508 |
+
title = "The Tatoeba Translation Challenge {--} Realistic Data Sets for Low Resource and Multilingual {MT}",
|
2509 |
+
author = {Tiedemann, J{\"o}rg},
|
2510 |
+
booktitle = "Proceedings of the Fifth Conference on Machine Translation",
|
2511 |
+
month = nov,
|
2512 |
+
year = "2020",
|
2513 |
+
address = "Online",
|
2514 |
+
publisher = "Association for Computational Linguistics",
|
2515 |
+
url = "https://aclanthology.org/2020.wmt-1.139",
|
2516 |
+
pages = "1174--1182",
|
2517 |
+
}
|
2518 |
+
```
|
2519 |
+
|
2520 |
+
## Acknowledgements
|
2521 |
+
|
2522 |
+
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/).
|
2523 |
+
|
2524 |
+
## Model conversion info
|
2525 |
+
|
2526 |
+
* transformers version: 4.45.1
|
2527 |
+
* OPUS-MT git hash: 0882077
|
2528 |
+
* port time: Tue Oct 8 11:39:25 EEST 2024
|
2529 |
+
* port machine: LM0-400-22516.local
|
benchmark_results.txt
ADDED
@@ -0,0 +1,178 @@
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1 |
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multi-multi tatoeba-test-v2020-07-28-v2023-09-26 0.61360 44.6 10000 64736
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2 |
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ben-eng flores200-devtest 0.58077 30.5 1012 24721
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ben-fra flores200-devtest 0.50884 22.6 1012 28343
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ben-por flores200-devtest 0.50054 21.4 1012 26519
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33 |
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bho-spa flores200-devtest 0.40581 13.1 1012 29199
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34 |
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guj-deu flores200-devtest 0.46665 16.8 1012 25094
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35 |
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guj-eng flores200-devtest 0.61383 34.3 1012 24721
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36 |
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guj-fra flores200-devtest 0.50410 22.3 1012 28343
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hin-deu flores200-devtest 0.50226 20.4 1012 25094
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41 |
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hin-fra flores200-devtest 0.53701 25.9 1012 28343
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44 |
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46 |
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kas_Arab-deu flores200-devtest 0.30399 2.8 1012 25094
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kas_Arab-fra flores200-devtest 0.31008 4.2 1012 28343
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kas_Deva-eng flores200-devtest 0.26718 4.7 1012 24721
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kas_Deva-fra flores200-devtest 0.21000 2.5 1012 28343
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57 |
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kas_Deva-por flores200-devtest 0.21490 2.6 1012 26519
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mag-deu flores200-devtest 0.50359 19.7 1012 25094
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mag-eng flores200-devtest 0.63906 38.0 1012 24721
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mag-fra flores200-devtest 0.53616 25.8 1012 28343
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mag-por flores200-devtest 0.53537 25.9 1012 26519
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mag-spa flores200-devtest 0.45822 16.9 1012 29199
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64 |
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mai-deu flores200-devtest 0.46791 16.2 1012 25094
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mai-eng flores200-devtest 0.57461 30.4 1012 24721
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66 |
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mai-fra flores200-devtest 0.50585 22.1 1012 28343
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67 |
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mai-por flores200-devtest 0.50490 22.0 1012 26519
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68 |
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mar-deu flores200-devtest 0.44725 14.5 1012 25094
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71 |
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mar-fra flores200-devtest 0.47027 19.5 1012 28343
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72 |
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73 |
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75 |
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76 |
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77 |
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80 |
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153 |
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154 |
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ben-eng tatoeba-test-v2021-08-07 0.64078 49.4 2500 13978
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155 |
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benchmark_translations.zip
ADDED
File without changes
|
config.json
ADDED
@@ -0,0 +1,41 @@
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1 |
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|
2 |
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|
3 |
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|
4 |
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5 |
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6 |
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|
7 |
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|
27 |
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|
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|
31 |
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|
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|
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|
35 |
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|
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|
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|
40 |
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|
41 |
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|
generation_config.json
ADDED
@@ -0,0 +1,16 @@
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1 |
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oid sha256:0087b4185dd22d27ac0845007f9d0962b34f1cc55594ccfc4a7d0d2b878964b3
|
3 |
+
size 958500869
|
source.spm
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8359db949348ce17f52895c7a2fb8a8dc2e6c75715d40af75300ada75a5e72ae
|
3 |
+
size 967996
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
|
target.spm
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5f671c62bb6a04015a2889680bb26ff85c9fd98433c2157c24448403ab856aef
|
3 |
+
size 802610
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"source_lang": "inc", "target_lang": "deu+eng+fra+por+spa", "unk_token": "<unk>", "eos_token": "</s>", "pad_token": "<pad>", "model_max_length": 512, "sp_model_kwargs": {}, "separate_vocabs": false, "special_tokens_map_file": null, "name_or_path": "marian-models/opusTCv20230926max50+bt+jhubc_transformer-big_2024-05-30/inc-deu+eng+fra+por+spa", "tokenizer_class": "MarianTokenizer"}
|
vocab.json
ADDED
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|
|