Update Dataset Card

README.md

@@ -20,7 +20,8 @@ license: cc-by-4.0
 
 ### Dataset Summary
 
-The ES-AN Parallel Corpus is a Spanish-Aragonese dataset created to support Aragonese in NLP tasks, specifically Machine Translation.
+The ES-AN Parallel Corpus is a Spanish-Aragonese dataset created to support the use of co-official languages from Spain, 
+such as Aragonese, in NLP tasks, specifically Machine Translation.
 
 
 ### Supported Tasks and Leaderboards
@@ -40,7 +41,7 @@ Two separate txt files are provided with the sentences sorted in the same order:
 - es-an_corpus.es
 - es-an_corpus.an
 
-The dataset is additionally provided in parquet format: file_name.parquet.
+The dataset is additionally provided in parquet format: es-an_corpus.parquet.
 
 The parquet file contains two columns of parallel text obtained from the two original text files. 
 Each row in the file represents a pair of parallel sentences in the two languages of the dataset.
@@ -58,22 +59,32 @@ The dataset contains a single split: `train`.
 
 ### Curation Rationale
 
-This dataset is aimed at promoting the development of Machine Translation between Aragonese and other languages, specifically Spanish.
+This dataset is aimed at promoting the development of Machine Translation between Spanish and the co-official languages from Spain, specifically Aragonese.
 
 ### Source Data
 
 #### Initial Data Collection and Normalization
 
-This dataset was created during BSC's participation in the Shared Task: Translation into Low-Resource Languages of Spain (WMT24). The final portion of the corpus results from thorough cleaning and preprocessing, as explained in detail in the published [paper](). However, no filtering based on translation quality has been applied.
+This dataset was created as part of the participation of Language Technologies Unit at BSC in the WMT24 Shared Task: 
+[Translation into Low-Resource Languages of Spain](https://www2.statmt.org/wmt24/romance-task.html). 
+The corpus is the result of a thorough cleaning and preprocessing, as described in detail in the paper "Training and Fine-Tuning 
+NMT Models for Low-Resource Languages using Apertium-Based Synthetic Corpora" (link to be added as soon as published). 
+No filtering based on translation quality has been applied.
 
-This dataset is mainly synthetic, generated using the rule-based translator [Apertium](https://www.apertium.org/). It contains synthetic Spanish, derived from the Aragonese [PILAR](https://github.com/transducens/PILAR) monolingual dataset. It also includes synthetic Aragonese, obtained by translating the Spanish side of the Spanish-Aragonese pairs from [OPUS](https://opus.nlpl.eu/). Additionally, it contains synthetic Spanish translated from monolingual Aragonese text extracted from a PDF called ortografia-aragones.pdf, provided by the organizers.
+This dataset is mainly synthetic, generated using the rule-based translator [Apertium](https://www.apertium.org/). 
+It contains synthetic Spanish, derived from the Aragonese [PILAR](https://github.com/transducens/PILAR) monolingual dataset. 
+It also includes synthetic Aragonese, obtained by translating the Spanish side of the Spanish-Aragonese pairs from [OPUS](https://opus.nlpl.eu/). 
+Additionally, it contains synthetic Spanish translated from monolingual Aragonese text extracted from the document ortografia-aragones.pdf, provided by the organizers.
 
 #### Who are the source language producers?
 
-[Opus](https://opus.nlpl.eu/) 
+[Opus](https://opus.nlpl.eu/)
+
 [PILAR](https://github.com/transducens/PILAR)
+
 [WMT24](https://www2.statmt.org/wmt24/romance-task.html)
 
+
 ### Annotations
 
 #### Annotation process
@@ -93,7 +104,8 @@ personal and sensitive information may be present in the data. This needs to be
 
 ### Social Impact of Dataset
 
-By providing this resource, we intend to promote the use of Aragonese across NLP tasks, thereby improving the accessibility and visibility of the Aragonese language.
+By providing this resource, we intend to promote the use of Aragonese, a co-official language of Spain, across NLP tasks, 
+thereby improving the accessibility and visibility of the Aragonese language.
 
 ### Discussion of Biases
 
@@ -110,8 +122,6 @@ The dataset contains data of a general domain. Applications of this dataset in m
 
 Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.es).
 
-This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project](https://projecteaina.cat/).
-
 
 ### Licensing Information