Update README.md

README.md

@@ -2,17 +2,15 @@
 language:
 - ca
 - zh
-- multilingual
 multilinguality:
-- translation
+- multilingual
 pretty_name: CA-ZH Parallel Corpus
 size_categories:
 - 1M<n<10M
-source_datasets:
-- original
 task_categories:
 - translation
 task_ids: []
+license: cc-by-nc-sa-4.0
 ---
 
 # Dataset Card for CA-ZH Parallel Corpus
@@ -41,35 +39,52 @@ task_ids: []
 
 ## Dataset Description
 
+- **Point of Contact:** [email protected]
+
 ### Dataset Summary
 
-The CA-ZH Parallel Corpus is a Catalan-Chinese dataset of **6.833.114** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
+The CA-ZH Parallel Corpus is a Catalan-Chinese dataset of **6.833.114** 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 <<>> and Catalan in any direction, 
+as well as Multilingual Machine Translation models.
 
 ### Languages
 
-The texts in the dataset are in Catalan and Chinese.
+The sentences included in the dataset are in Catalan (CA) and Chinese (ZH).
 
 ## 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:
 
 - ca-zh_all_2023_10_26.ca: contains 6.833.114 Catalan sentences.
 
 - ca-zh_all_2023_10_26.zh: contains 6.833.114 Chinese sentences.
 
+### Data Fields
+
+[N/A]
+    
 ### Data Splits
 
 The dataset contains a single split: `train`.
 
 ## Dataset Creation
 
+## Dataset Creation
+
+### Curation Rationale
+
+This dataset is aimed at promoting the development of Machine Translation between Catalan and other languages, specifically Chinese.
+
 ### Source Data
 
+#### Initial Data Collection and Normalization
+
 The Catalan-Chinese data collected from the web was a combination of the following datasets:
 
 | Dataset       	| Sentences before cleaning	|
@@ -99,6 +114,20 @@ The datasets are then also deduplicated and filtered to remove any sentence pair
 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 **6.833.114** parallel sentences. 
 
+#### Who are the source language producers?
+
+[Opus](https://opus.nlpl.eu/) 
+
+### 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.
@@ -107,30 +136,33 @@ 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
 
-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 [email protected].
+This work has been promoted and financed by the Generalitat de Catalunya through the [Aina project](https://projecteaina.cat/).
 
-### 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]