Update README.md

README.md

@@ -1,75 +1,100 @@
 ---
+YAML tags: null
+annotations_creators:
+- expert-generated
 language:
 - ca
 - pt
-- multilingual
 multilinguality:
-- translation
+- multilingual
 pretty_name: CA-PT Parallel Corpus
-size_categories:
-- 1M<n<10M
-source_datasets:
-- original
 task_categories:
 - translation
-task_ids: []
+size_categories:
+- 1M<n<10M
 ---
 
-# Dataset Card for CA-PT Parallel Corpus
+# Dataset Card for InToxiCat
 
 ## Table of Contents
+- [Table of Contents](#table-of-contents)
 - [Dataset Description](#dataset-description)
   - [Dataset Summary](#dataset-summary)
-  - [Supported Tasks](#supported-tasks-and-leaderboards)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
   - [Languages](#languages)
 - [Dataset Structure](#dataset-structure)
-  - [Data Splits](#data-instances)
+  - [Data Instances](#data-instances)
+  - [Example](#example)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
 - [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
   - [Source Data](#source-data)
-  - [Data preparation](#data-preparation)
+  - [Annotations](#annotations)
   - [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 Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
 
 ## Dataset Description
 
+- **Website:** 
+- **Point of Contact:** [email protected]
+
+
 ### Dataset Summary
 
 The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of **9.892.953** parallel sentences. The dataset was created to support Catalan NLP tasks, e.g., 
 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 a model for Multilingual Machine Translation.
 
 ### Languages
 
-The texts in the dataset are in Catalan and Portuguese.
+The texts in the dataset are in Catalan (CA) and Portuguese (PT).
 
 ## Dataset Structure
 
+### Data Instances
+
 Two separated txt files are provided with the sentences sorted in the same order:
 
 - ca-pt_2023_09_01_full.ca: contains 9.892.953 Catalan sentences.
 
 - ca-pt_2023_09_01_full.pt: contains 9.892.953 Portuguese sentences.
 
+### Example:
+
+[N/A]
+
+### Data Fields
+
+[N/A]
+    
 ### Data Splits
 
 The dataset contains a single split: `train`.
 
 ## Dataset Creation
 
+### Curation Rationale
+
+We created this dataset to contribute to the development of MT engines between Portuguese and Catalan.
+
 ### Source Data
 
+#### Initial Data Collection and Normalization
+
 The dataset is a combination of the following authentic datasets:
 
 | Dataset       | Sentences |
@@ -89,28 +114,41 @@ The dataset is a combination of the following authentic datasets:
 All corpora except Europarl were collected from [Opus](https://opus.nlpl.eu/).
 The Europarl corpus is a synthetic parallel corpus created from the original Spanish-Catalan corpus by [SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
 
-The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese 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.
+The remaining **3.733.322** sentences are synthetic parallel data created from a random sampling of the Spanish-Portuguese 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.
 
-### Data preparation
+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 **9.892.953** parallel sentences.
 
- 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 **9.892.953** parallel sentences.
- 
-### Personal and Sensitive Information
+#### Who are the source language producers?
+
+[Opus](https://opus.nlpl.eu/). 
+[SoftCatalà](https://github.com/Softcatala/Europarl-catalan).
+
+### Annotations
+
+#### Annotation process
+
+The dataset does not contain any annotations.
+
+#### Who are the annotators?
 
-No anonymisation process was performed.
+[N/A]
 
+### Personal and Sensitive Information
+
+No personal or sensitive information is included.
+  
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-The purpose of this dataset is to help develop Machine Translation tasks for mid-resource languages such as Catalan.
+We hope this dataset contributes to the development of MT engines between Portuguese and Catalan.
 
 ### 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.
+[N/A]
 
 ### Other Known Limitations
 
@@ -118,17 +156,21 @@ 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 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).
 
-### Contact information
-For further information, please send an email to [email protected].
 
-### 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]