Update README.md

README.md

@@ -2,9 +2,8 @@
 language:
 - ca
 - de
-- multilingual
 multilinguality:
-- translation
+- multilingual
 pretty_name: CA-DE Parallel Corpus
 size_categories:
 - 1M<n<10M
@@ -13,6 +12,7 @@ source_datasets:
 task_categories:
 - translation
 task_ids: []
+license: cc-by-nc-sa-4.0
 ---
 
 # Dataset Card for CA-DE Parallel Corpus
@@ -43,16 +43,17 @@ task_ids: []
 
 ### Dataset Summary
 
-The CA-DE Parallel Corpus is a Catalan-German dataset of **9.530.709** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
+The CA-DE Parallel Corpus is a Catalan-German dataset of **9.530.709** parallel sentences. The dataset was created to support Catalan 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 German and Catalan in any direction, 
+as well as Multilingual Machine Translation models.
 
 ### Languages
 
-The texts in the dataset are in Catalan and German.
+The sentences included in the dataset are in Catalan (CA) and German (DE).
 
 ## Dataset Structure
 
@@ -68,9 +69,15 @@ 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 languages, specifically German.
+
 ### Source Data
 
-The dataset is a combination of the following authentic datasets:
+#### Initial Data Collection and Normalization
+
+The dataset is a combination of the following original datasets:
 
 | Dataset       | Sentences |
 |:--------------|----------:|
@@ -89,15 +96,31 @@ The dataset is a combination of the following authentic datasets:
 | **Total**     	| **6.258.272** |
 
 All corpora except Europarl and Tilde were collected from [Opus](https://opus.nlpl.eu/).
-The Europarl and Tilde corpora are synthetic parallel corpora created from the original Spanish-Catalan corpora by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
+The Europarl and Tilde corpora are synthetic parallel corpora created from the original Spanish-Catalan corpora 
+by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
+
+The remaining **3.272.437** sentences are synthetic parallel data created from a random sampling of the Spanish-German corpora 
+available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the [PlanTL es-ca](https://huggingface.co/PlanTL-GOB-ES/mt-plantl-es-ca) model.
+
+All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75.
+This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE).
+The filtered datasets are then concatenated to form a final corpus of **9.530.709** parallel sentences.
+
+#### Who are the source language producers?
 
-The remaining **3.272.437** sentences are synthetic parallel data created from a random sampling of the Spanish-German corpora available on [Opus](https://opus.nlpl.eu/) and translated into Catalan using the [PlanTL es-ca](https://huggingface.co/PlanTL-GOB-ES/mt-plantl-es-ca) model.
+[Opus](https://opus.nlpl.eu/) 
 
-### Data preparation
+[SoftCatalà](https://github.com/Softcatala/Europarl-catalan)
 
- All datasets are deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75.
- This is done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE).
- The filtered datasets are then concatenated to form a final corpus of **9.530.709** parallel sentences.
+### Annotations
+
+#### Annotation process
+
+The dataset does not contain any annotations.
+
+#### Who are the annotators?
+
+[N/A]
 
 ### Personal and Sensitive Information
 
@@ -107,12 +130,12 @@ No anonymisation process was performed.
 
 ### Social Impact of Dataset
 
-The purpose of this dataset is to help develop Machine Translation tasks for mid-resource languages such as Catalan.
+By providing this resource, we intend to promote the use of Catalan across NLP tasks, thereby improving the accessibility and visibility of the Catalan language.
 
 ### 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
 
@@ -120,17 +143,21 @@ The dataset contains data of a general domain. Application of this dataset in mo
 
 ## Additional Information
 
-### Author
-Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.
+### Dataset Curators
+
+Language Technologies Unit at the Barcelona Supercomputing Center (langtech@bsc.es).
 
-### Contact information
-For further information, please send an email to langtech@bsc.es.
+This work was funded by the [Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya](https://politiquesdigitals.gencat.cat/ca/inici/index.html#googtrans(ca|en) within the framework of [Projecte AINA](https://politiquesdigitals.gencat.cat/ca/economia/catalonia-ai/aina).
 
-### 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 has been promoted and financed by the Generalitat de Catalunya through the [Aina project] (https://projecteaina.cat/).
+### Citation Information
+
+[N/A]
+
+### Contributions
+
+[N/A]