Update README.md

README.md

@@ -362,8 +362,8 @@ Click the expand button below to see the full list of corpora included in the tr
 |[MultiUN](https://opus.nlpl.eu/MultiUN/corpus/version/MultiUN)		|			|fr	|	|	
 |[News-Commentary](https://opus.nlpl.eu/News-Commentary/corpus/version/News-Commentary) 	|		|fr		|  |
 |[NLLB](https://opus.nlpl.eu/NLLB/corpus/version/NLLB)			|bg,da,el,en,et,fi,fr,gl,hu,it	,lt,lv,pt,ro,sk,sl	|bg,cs,da,de,el	,et,fi,fr,hu,it,lt,lv,nl,pl,pt	,ro,sk,sl,sv| bg,cs,cy,da,de,el,et,fi,fr,ga,hr,hu,it,lt,lv,mt,nl,no,oc,pl,pt,ro,ru,sk,sl,sr,sv,uk|
-|[NÓS Corpus](https://zenodo.org/records/7675110)                 |               |               |    gl      |
-|[NÓS-SYN](https://zenodo.org/records/7685180)            |                |               |   gl       |
+|[NÓS Authentic Corpus](https://zenodo.org/records/7675110)                 |               |               |    gl      |
+|[NÓS Synthetic Corpus](https://zenodo.org/records/7685180)            |                |               |   gl       |
 |[NTEU](https://www.elrc-share.eu/repository/search/?q=NTEU)			|			|bg,cs,da,de,el,en,et,fi,fr,ga,hr,hu,it,lt,lv,mt,nl,pl,pt,ro,sk,sl,sv	|        da,et,ga,hr,lt,lv,mt,ro,sk,sl,sv     |	 
 |[OpenSubtitles](https://opus.nlpl.eu/OpenSubtitles/corpus/version/OpenSubtitles) 	|bg,cs,da,de,el	,et,eu,fi,gl,hr,hu,lt,lv,nl,pl,pt,ro,sk,sl,sv	|da,de,fi,fr,hr,hu,it,lv,nl		| bg,cs,de,el,et,hr,fi,fr,hr,hu,no,sl,sr|
 |[OPUS-100](https://opus.nlpl.eu/opus-100.php)   | en |  | gl |
@@ -470,7 +470,8 @@ Click the expand button below to see the full list of tasks included in the fine
 | Context-Aware Translation   | [TowerBlocks](https://huggingface.co/datasets/Unbabel/TowerBlocks-v0.2): [MT-GenEval](https://github.com/amazon-science/machine-translation-gender-eval)                     | en-de                                                          | 558    |
 |**Total**                  |                    |          |     **135,404**       |
 
-The non-public portion of this dataset was jointly created by the [ILENIA](https://proyectoilenia.es/) partners BSC, HiTZ, and CiTIUS. For further information regarding the instruction-tuning data, 
+The non-public portion of this dataset was jointly created by the [ILENIA](https://proyectoilenia.es/) partners BSC, [HiTZ](http://hitz.ehu.eus/es), 
+and [CiTIUS](https://citius.gal/es/). For further information regarding the instruction-tuning data, 
 please contact <langtech@bsc.es>.
 
 </details>
@@ -498,7 +499,11 @@ please contact <langtech@bsc.es>.
 
 ## Evaluation
 
-Below are the evaluation results on the [Flores+200 devtest set](https://huggingface.co/datasets/openlanguagedata/flores_plus), compared against the state-of-the-art MADLAD400-7B model ([Kudugunta, S., et al.](https://arxiv.org/abs/2309.04662)) and SalamandraTA-7b-base model. These results cover translation directions between CA-XX, ES-XX, EN-XX, as well as XX-CA, XX-ES, and XX-EN. The metrics have been computed excluding Asturian, Aranese, and Aragonese as we report them separately. The evaluation was conducted using [MT Lens](https://github.com/langtech-bsc/mt-evaluation) following the standard setting (beam search with beam size 5, limiting the translation length to 500 tokens). We report the following metrics:
+Below are the evaluation results on the [Flores+200 devtest set](https://huggingface.co/datasets/openlanguagedata/flores_plus), 
+compared against the state-of-the-art MADLAD400-7B model ([Kudugunta, S., et al.](https://arxiv.org/abs/2309.04662)) and SalamandraTA-7b-base model. 
+These results cover translation directions between CA-XX, ES-XX, EN-XX, as well as XX-CA, XX-ES, and XX-EN. 
+The metrics have been computed excluding Asturian, Aranese, and Aragonese, as we report them separately. 
+The evaluation was conducted using [MT Lens](https://github.com/langtech-bsc/mt-evaluation) following the standard setting (beam search with beam size 5, limiting the translation length to 500 tokens). We report the following metrics:
 
 <details>
 <summary>Click to show metrics details</summary>
@@ -639,7 +644,9 @@ This section presents the evaluation metrics for Basque translation tasks.
 
 ### 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).
+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>
@@ -674,18 +681,18 @@ The tables below summarize the performance metrics for English, Spanish, and Cat
 | SalamandraTA-7b-instruct         | es       | ast      |  **21.28** |  **68.11** |  **52.73** |
 | SalamandraTA-7b-base             | es       | ast      |  17.65 |  75.78 |  51.05 |
 | Transducens/IbRo-nllb            | es       | ast      |  16.79	 |  76.36 |  50.89 |
-| salamandraTA2B                   | es       | ast      |  16.68 |  77.29 |  49.46 |
+| SalamandraTA-2B                   | es       | ast      |  16.68 |  77.29 |  49.46 |
 | nllb-3.3B                        | es       | ast      |  11.85 | 100.86 |  40.27 |
 | | | | | | |
 | SalamandraTA-7b-base             | es       | arn      |  **29.19** |  **71.85** |  **49.42** |
 | Transducens/IbRo-nllb             | es       | arn      |  28.45 |  72.56 | 49.28  |
 | SalamandraTA-7b-instruct         | es       | arn      |  26.82 |  74.04 |  47.55 |
-| salamandraTA2B                   | es       | arn      |  25.41 |  74.71 |  47.33 |
+| SalamandraTA-2B                   | es       | arn      |  25.41 |  74.71 |  47.33 |
 | | | | | | |
 | Transducens/IbRo-nllb             | es       | arg      |  **59.75** |  **28.01** |  **78.73** |
 | SalamandraTA-7b-base             | es       | arg      |  53.96 |  31.51 |  76.08 |
 | SalamandraTA-7b-instruct         | es       | arg      |  47.54 |  36.57 |  72.38 |
-| salamandraTA2B                   | es       | arg      |  44.57 |  37.93 |  71.32 |
+| SalamandraTA-2B                   | es       | arg      |  44.57 |  37.93 |  71.32 |
 
 </details>
 
@@ -701,19 +708,19 @@ The tables below summarize the performance metrics for English, Spanish, and Cat
 |:---------------------------------|:---------|:---------|-------:|-------:|-------:|
 | SalamandraTA-7b-instruct | ca       | ast      |  **27.86** |  **58.19** |  57.98 |
 | SalamandraTA-7b-base                   | ca       | ast      |  26.11 |  63.63 |  **58.08** |
-| salamandraTA2B                   | ca       | ast      |  25.32 |  62.59 |  55.98 |
+| SalamandraTA-2B                   | ca       | ast      |  25.32 |  62.59 |  55.98 |
 | Transducens/IbRo-nllb            | ca       | ast      |  24.77 |  61.60 |  57.49 |
 | nllb-3.3B                        | ca       | ast      |  17.17 |  91.47 |  45.83 |
 | | | | | | |
 | SalamandraTA-7b-base                   | ca       | arn      |  **17.77** |  **80.88** |  **42.12** |
 | Transducens/IbRo-nllb                   | ca       | arn      |  17.51 |  81.18 |  41.91 |
 | SalamandraTA-7b-instruct | ca       | arn      |  16.45 |  82.01 |  41.04 |
-| salamandraTA2B                   | ca       | arn      |  15.37 |  82.76 |  40.53 |
+| SalamandraTA-2B                   | ca       | arn      |  15.37 |  82.76 |  40.53 |
 | | | | | | |
 | Transducens/IbRo-nllb                   | ca       | arg      |  **24.44** |  **60.79** |  **55.51** |
 | SalamandraTA-7b-base                   | ca       | arg      |  22.53 |  62.37 |  54.32 |
 | SalamandraTA-7b-instruct | ca       | arg      |  21.62 |  63.38 |  53.01 |
-| salamandraTA2B                   | ca       | arg      |  18.6  |  65.82 |  51.21 |
+| SalamandraTA-2B                   | ca       | arg      |  18.6  |  65.82 |  51.21 |
 
 </details>
 
@@ -725,7 +732,8 @@ With regard to MT models, no specific analysis has yet been carried out in order
 accuracy across different languages, dialects, or domains. However, we recognize the importance of identifying and addressing any harmful stereotypes, 
 cultural inaccuracies, or systematic performance discrepancies that may arise in Machine Translation. As such, we plan to perform more analyses as soon 
 as we have implemented the necessary metrics and methods within our evaluation framework [MT Lens](https://github.com/langtech-bsc/mt-evaluation).
-Note that the model has only undergone preliminary instruction tuning. We urge developers to consider potential limitations and conduct safety testing and tuning tailored to their specific applications.
+Note that the model has only undergone preliminary instruction tuning. 
+We urge developers to consider potential limitations and conduct safety testing and tuning tailored to their specific applications.
 
 ## Additional information