Update README.md

README.md

@@ -121,7 +121,7 @@ The model was trained using shards of 10 million sentences, for a total of 13.00
 
 ### Variable and metrics
 
-We use the BLEU score for evaluation on test sets: [Flores-101](https://github.com/facebookresearch/flores), [TaCon](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/), [United Nations](https://zenodo.org/record/3888414#.Y33-_tLMIW0), [Cybersecurity](https://elrc-share.eu/repository/browse/cyber-mt-test-set/2bd93faab98c11ec9c1a00155d026706b96a490ed3e140f0a29a80a08c46e91e/), [wmt19 biomedical test set](), [wmt13 news test set](https://elrc-share.eu/repository/browse/catalan-wmt2013-machine-translation-shared-task-test-set/84a96139b98611ec9c1a00155d0267061a0aa1b62e2248e89aab4952f3c230fc/), [aina aapp]()
+We use the BLEU score for evaluation on test sets: [Flores-101](https://github.com/facebookresearch/flores), [TaCon](https://elrc-share.eu/repository/browse/tacon-spanish-constitution-mt-test-set/84a96138b98611ec9c1a00155d02670628f3e6857b0f422abd82abc3795ec8c2/), [United Nations](https://zenodo.org/record/3888414#.Y33-_tLMIW0), [Cybersecurity](https://elrc-share.eu/repository/browse/cyber-mt-test-set/2bd93faab98c11ec9c1a00155d026706b96a490ed3e140f0a29a80a08c46e91e/), [wmt19 biomedical test set](), [wmt13 news test set](https://elrc-share.eu/repository/browse/catalan-wmt2013-machine-translation-shared-task-test-set/84a96139b98611ec9c1a00155d0267061a0aa1b62e2248e89aab4952f3c230fc/)
 
 ### Evaluation results
 
@@ -129,15 +129,14 @@ Below are the evaluation results on the machine translation from Catalan to Span
 
 | Test set             | SoftCatalà | Google Translate | mt-aina-ca-es |
 |----------------------|------------|------------------|---------------|
-| Spanish Constitution | 66,2       | **77,1**         | 75,5          |
-| United Nations       | 72,0       | 84,3             | **86,3**      |
-| aina_aapp            | 78,1       | 80,8             | **81,8**      |
-| Flores 101 dev       | 23,8       | 24               | **24,1**      |
-| Flores 101 devtest   | 23,9       | 24,2             | **24,4**      |
-| Cybersecurity        | 73,5       | **76,9**         | 75,1          |
-| wmt 19 biomedical    | 60,0       | 62,7             | **63,0**      |
-| wmt 13 news          | 22,7       | 23,1             | **23,4**      |
-| Average              | 52,5       | 56,6             | **56,7**      |
+| Spanish Constitution | 70,7       | **77,1**         | 75,5          |
+| United Nations       | 78,1       | 84,3             | **86,3**      |
+| Flores 101 dev       | 23,5       | 24               | **24,1**      |
+| Flores 101 devtest   | 24,1       | 24,2             | **24,4**      |
+| Cybersecurity        | 67,3       | **76,9**         | 75,1          |
+| wmt 19 biomedical    | 60,4       | 62,7             | **63,0**      |
+| wmt 13 news          | 22,5       | 23,1             | **23,4**      |
+| Average              | 49,5       | 53,2             | **53,1**      |
 
 
 ## Additional information