Update README.md

README.md

@@ -2,14 +2,11 @@
 language:
 - ca
 - en
-- multilingual
 multilinguality:
-- translation
+- multilingual
 pretty_name: CA-EN Parallel Corpus
 size_categories:
 - 10M<n<100M
-source_datasets:
-- original
 task_categories:
 - translation
 task_ids: []
@@ -44,21 +41,28 @@ license: cc-by-4.0
 
 ### Dataset Summary
 
-The CA-EN Parallel Corpus is a Catalan-English dataset of **14.385.296** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
+The CA-EN Parallel Corpus is a Catalan-English dataset of **14.385.296** 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 English and Catalan in any direction, 
+as well as Multilingual Machine Translation models.
 
 ### Languages
 
-The texts in the dataset are in Catalan and English.
+The sentences included in the dataset are in Catalan (CA) and English (EN).
 
 ## Dataset Structure
 
-The dataset is a single tsv file where each row contains a paralle sentence pair.
+### Data Instances
+
+The dataset is a single tsv file where each row contains a parallel sentence pair.
+
+
+### Data Fields
 
+[N/A]
 
 ### Data Splits
 
@@ -66,18 +70,39 @@ 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 English.
+
 ### Source Data
 
-The The data is a brand new collection of parallel sentences in Catalan and English partially derived from web crawlings and belonging to a mix of different domains and styles.
+#### Initial Data Collection and Normalization
+
+The The data is a brand new collection of parallel sentences in Catalan and English, partially derived from web crawlings and belonging to a mix of different 
+domains and styles.
 The source data is Catalan authentic text translated to English or authentic English text translated to Catalan.
+The original data gathering was entrusted to an external company through a public tender process.
+
+The data was obtained through a combination of human translation and machine translation with human proofreading.
+After the translation process, the data was deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75 in order 
+to improve the data alignment quality.
+This was done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE).
+The obtained cleaned corpus consists of **14.385.296** parallel sentences of human quality.
+
+#### Who are the source language producers?
 
-### Data preparation
+[N/A]
+
+### Annotations
+
+#### Annotation process
+
+The dataset does not contain any annotations.
+
+#### Who are the annotators?
+
+[N/A]
 
- The data was obtained through a combination of  human translation and machine translation with human proofreading.
- After the translation process, the data was deduplicated and filtered to remove any sentence pairs with a cosine similarity of less than 0.75 in order to improve the data alignment quality.
- This was done using sentence embeddings calculated using [LaBSE](https://huggingface.co/sentence-transformers/LaBSE).
- The obtained cleaned corpus consists of **14.385.296** parallel sentences of human quality.
- 
 ### Personal and Sensitive Information
 
 No anonymisation process was performed.
@@ -86,12 +111,12 @@ 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
 
@@ -99,17 +124,21 @@ 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 ([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 Creative Commons Attribution 4.0 International license(https://creativecommons.org/licenses/by/4.0/).
 
-### Contact information
-For further information, please send an email to [email protected].
+### Citation Information
 
-### Copyright
-Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).
+[N/A]
 
-### Licensing information
-This work is licensed under a [Creative Commons Attribution 4.0 International licence](https://creativecommons.org/licenses/by/4.0/).
+### Contributions
 
-### Funding
-This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project] (https://projecteaina.cat/).
+[N/A]