Update README.md

README.md

@@ -477,6 +477,9 @@ Below are the evaluation results on the [Flores+200 devtest set](https://hugging
 
 </details>
 
+<details>
+<summary>English evaluation</summary>
+  
 ### English
 
 This section presents the evaluation metrics for English translation tasks.
@@ -496,6 +499,11 @@ This section presents the evaluation metrics for English translation tasks.
 
 <img src="./images/bleu_en.png" alt="English" width="100%"/>
 
+</details>
+
+<details>
+<summary>Spanish evaluation</summary>
+  
 ### Spanish
 
 This section presents the evaluation metrics for Spanish translation tasks.
@@ -515,8 +523,11 @@ This section presents the evaluation metrics for Spanish translation tasks.
 
 <img src="./images/bleu_es.png" alt="English" width="100%"/>
 
+</details>
 
-
+<details>
+<summary>Catalan evaluation</summary>
+  
 ### Catalan
 
 This section presents the evaluation metrics for Catalan translation tasks.
@@ -536,6 +547,11 @@ This section presents the evaluation metrics for Catalan translation tasks.
 
 <img src="./images/bleu_ca.png" alt="English" width="100%"/>
 
+</details>
+
+<details>
+<summary>Galician evaluation</summary>
+
 ### Galician
 
 This section presents the evaluation metrics for Galician translation tasks.
@@ -554,7 +570,11 @@ This section presents the evaluation metrics for Galician translation tasks.
 
 <img src="./images/bleu_gl.png" alt="English" width="100%"/>
 
+</details>
 
+<details>
+<summary>Basque evaluation</summary>
+  
 ### Basque
 
 This section presents the evaluation metrics for Basque translation tasks.
@@ -575,10 +595,15 @@ This section presents the evaluation metrics for Basque translation tasks.
 
 <img src="./images/bleu_eu.png" alt="English" width="100%"/>
 
+</details>
+
 ### Low-Resource Languages of Spain
 
 The tables below summarize the performance metrics for English, Spanish, and Catalan to Asturian, Aranese and Aragonese compared against [Transducens/IbRo-nllb](https://huggingface.co/Transducens/IbRo-nllb) [(Galiano Jimenez, et al.)](https://aclanthology.org/2024.wmt-1.85/), NLLB-3.3 ([Costa-jussà et al., 2022](https://arxiv.org/abs/2207.04672)) and [SalamandraTA-2B](https://huggingface.co/BSC-LT/salamandraTA-2B).
 
+<details>
+<summary>English evaluation</summary>
+  
 #### English-XX
 
 |                        | Source   | Target   |   Bleu↑ |    Ter↓ |   ChrF↑ |
@@ -596,7 +621,12 @@ The tables below summarize the performance metrics for English, Spanish, and Cat
 | SalamandraTA-7b-base                   | en       | arg      |  12.24 |  73.48 |  44.75 |
 | Transducens/IbRo-nllb                  | en       | arg      |  14.07 |  70.37 |  46.89 |
 
+</details>
+
 
+<details>
+<summary>Spanish evaluation</summary>
+  
 #### Spanish-XX
 
 |                        | Source   | Target   |   Bleu↑ |    Ter↓ |   ChrF↑ |
@@ -617,7 +647,13 @@ The tables below summarize the performance metrics for English, Spanish, and Cat
 | SalamandraTA-7b-instruct         | es       | arg      |  47.54 |  36.57 |  72.38 |
 | salamandraTA2B                   | es       | arg      |  44.57 |  37.93 |  71.32 |
 
+</details>
+
+
+<details>
+<summary>Catalan evaluation</summary>
 
+  
 #### Catalan-XX
 
 
@@ -639,7 +675,7 @@ The tables below summarize the performance metrics for English, Spanish, and Cat
 | SalamandraTA-7b-instruct | ca       | arg      |  21.62 |  63.38 |  53.01 |
 | salamandraTA2B                   | ca       | arg      |  18.6  |  65.82 |  51.21 |
 
-
+</details>
 
 ## Ethical Considerations and Limitations