Update README.md

README.md

@@ -2,78 +2,85 @@
 language:
 - ca
 - gl
-- multilingual
 multilinguality:
-- translation
+- multilingual
 pretty_name: CA-GL Parallel Corpus
 size_categories:
 - 10M<n<100M
-source_datasets:
-- original
 task_categories:
 - translation
 task_ids: []
+license: cc-by-nc-sa-4.0
 ---
 
 # Dataset Card for CA-GL Parallel Corpus
 
-## Table of Contents
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks](#supported-tasks-and-leaderboards)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Splits](#data-instances)
-- [Dataset Creation](#dataset-creation)
-  - [Source Data](#source-data)
-  - [Personal and Sensitive Information](#personal-and-sensitive-information)
-- [Considerations for Using the Data](#considerations-for-using-the-data)
-  - [Social Impact of Dataset](#social-impact-of-dataset)
-  - [Discussion of Biases](#discussion-of-biases)
-  - [Other Known Limitations](#other-known-limitations)
-- [Additional Information](#additional-information)
-  - [Author](#author)
-  - [Contact Information](#contact-information)
-  - [Copyright](#copyright)
-  - [Licensing information](#licenciung-informatrion)
-  - [Funding](#funding)
-
 ## Dataset Description
 
 ### Dataset Summary
 
-The CA-GL Parallel Corpus is a Catalan-Galician synthetic dataset of **33.668.599** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
-Machine Translation.
+The CA-GL Parallel Corpus is a Catalan-Galician synthetic dataset of **33.668.599** parallel sentences. 
+The dataset was created to support the use of co-official languages from Spain, such as Catalan and Galician, 
+in NLP tasks, specifically Machine Translation.
 
 ### Supported Tasks and Leaderboards
 
-The dataset can be used to train a model for Multilingual Machine Translation. Success on this task is typically measured by achieving a high BLEU score.
+The dataset can be used to train Bilingual Machine Translation models between Galician and Catalan in any direction, 
+as well as Multilingual Machine Translation models.
 
 ### Languages
 
-The texts in the dataset are in Catalan and Galician.
+The sentences included in the dataset are in Catalan (CA) and Galician (GL).
 
 ## Dataset Structure
 
-Two separated txt files are provided with the sentences sorted in the same order:
+### Data Instances
+
+Two separate txt files are provided with the sentences sorted in the same order:
 
 - nos_all.ca: contains 33.668.599 Catalan sentences (synthetic).
 
 - nos_all.gl: contains 33.668.599 Galician sentences (authentic).
 
+
+### 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 Catalan 
+and other co-official languages from Spain, specifically Galician.
+
 ### Source Data
 
+#### Initial Data Collection and Normalization
+
 This synthetic dataset was created in the frame of Project Ilenia. An authentic parallel corpus ES-GL was delivered by Proxecto Nós
 and the Spanish was translated to Catalan using the machine translation model [PlanTL-GOB-ES](https://huggingface.co/PlanTL-GOB-ES/mt-plantl-es-ca).
 
 **Total: 33.668.599 parallel sentences** .
 
+#### Who are the source language producers?
+
+[Proxecto Nós](https://nos.gal/es/proxecto-nos)
+
+### Annotations
+
+#### Annotation process
+
+The dataset does not contain any annotations.
+
+#### Who are the annotators?
+
+[N/A]
+
 ### Personal and Sensitive Information
 
 No anonymisation process was performed.
@@ -82,30 +89,37 @@ No anonymisation process was performed.
 
 ### Social Impact of Dataset
 
-The purpose of this dataset is to help develop Machine Translation tasks between Catalan and Galician, two of the co-official languages of Spain.
+By providing this resource, we intend to promote the use of Catalan and Galician, two of the co-official languages of Spain, 
+across NLP tasks, thereby improving the accessibility and visibility of both Catalan and Galician.
 
 ### Discussion of Biases
 
-We are aware that since part of the data comes from unreliable web pages and non-curated texts, some biases may be present in the dataset.
-Nonetheless, we have not applied any steps to reduce their impact.
+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. Application of this dataset in more specific domains such as biomedical, legal etc. would be of limited use.
+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
 
-### Author
-Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.
+### Dataset Curators
+
+Language Technologies Unit at the Barcelona Supercomputing Center ([email protected]).
 
-### Contact information
-For further information, please send an email to langtech@bsc.es.
+This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU 
+within the framework of the [project ILENIA](https://proyectoilenia.es/) 
+with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334 
 
-### Copyright
-Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).
+### Licensing Information
 
-### Licensing information
 This work is licensed under a [Attribution-NonCommercial-ShareAlike 4.0 International](https://creativecommons.org/licenses/by-nc-sa/4.0/).
 
-### Funding
-This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the [project ILENIA](https://proyectoilenia.es/) with reference 2022/TL22/00215337, 2022/TL22/00215336, 2022/TL22/00215335 y 2022/TL22/00215334
+### Citation Information
+
+[N/A]
+
+### Contributions
+
+[N/A]