Create README.md

README.md

@@ -0,0 +1,126 @@
+---
+YAML tags: null
+language:
+- es
+- an
+pretty_name: ES-AN Parallel Corpus
+task_categories:
+- translation
+size_categories:
+- size category
+license: cc-by-4.0
+---
+
+# Dataset Card for ES-AN Parallel Corpus
+
+## Dataset Description
+
+- **Point of Contact:** [email protected]
+
+
+### Dataset Summary
+
+The ES-AN Parallel Corpus is a Spanish-Aragonese dataset created to support Aragonese in NLP tasks, specifically Machine Translation.
+
+
+### Supported Tasks and Leaderboards
+
+The dataset can be used to train Bilingual Machine Translation models between Aragonese and Spanish in any direction, as well as Multilingual Machine Translation models.
+
+### Languages
+
+The sentences included in the dataset are in Spanish (ES) and Aragonese (AN).
+
+## Dataset Structure
+
+### Data Instances
+
+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 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.
+
+
+### Data Fields
+
+[N/A]
+    
+### Data Splits
+
+The dataset contains a single split: `train`.
+
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset is aimed at promoting the development of Machine Translation between Aragonese and other languages, specifically Spanish.
+
+### 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 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.
+
+#### Who are the source language producers?
+
+[Opus](https://opus.nlpl.eu/) 
+[PILAR](https://github.com/transducens/PILAR)
+[WMT24](https://www2.statmt.org/wmt24/romance-task.html)
+
+### Annotations
+
+#### Annotation process
+
+The dataset does not contain any annotations.
+
+#### Who are the annotators?
+
+[N/A]
+
+### Personal and Sensitive Information
+
+Given that this dataset is partly derived from pre-existing datasets that may contain crawled data, and that no specific anonymisation process has been applied, 
+personal and sensitive information may be present in the data. This needs to be considered when using the data for training models.
+
+## Considerations for Using the Data
+
+### 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.
+
+### Discussion of Biases
+
+No specific bias mitigation strategies were applied to this dataset. 
+Inherent biases may exist within the data.
+
+### Other Known Limitations
+
+The dataset contains data of a general domain. Applications of this dataset in more specific domains such as biomedical, legal etc. would be of limited use.
+
+## Additional Information
+
+### Dataset Curators
+
+Language Technologies Unit at the Barcelona Supercomputing Center ([email protected]).
+
+This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project](https://projecteaina.cat/).
+
+
+### Licensing Information
+
+This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/).
+
+### Citation Information
+
+[N/A]
+
+### Contributions
+
+[N/A]