Update README.md

README.md

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 ---
-license: cc-by-nc-sa-4.0
+language:
+- ca
+- de
+- multilingual
+multilinguality:
+- translation
+pretty_name: CA-DE Parallel Corpus
+size_categories:
+- 1M<n<10M
+source_datasets:
+- original
+task_categories:
+- translation
+task_ids: []
 ---
+
+# Dataset Card for CA-DE 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)
+  - [Data preparation](#data-preparation)
+  - [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-PT Parallel Corpus is a Catalan-German 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.
+
+### Languages
+
+The texts in the dataset are in Catalan and German.
+
+## Dataset Structure
+
+Two separated txt files are provided with the sentences sorted in the same order:
+
+- ca-de_all_2023_09_11.ca: contains XXX Catalan sentences.
+
+- ca-de_all_2023_09_11.de: contains XXX German sentences.
+
+### Data Splits
+
+The dataset contains a single split: `train`.
+
+## Dataset Creation
+
+### Source Data
+
+The dataset is a combination of the following authentic datasets:
+
+| Dataset       | Sentences |
+|---------------|-----------|
+
+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-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.
+
+### 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 **XXX** parallel sentences and before training the punctuation is normalized using a modified version of the join-single-file.py script from [SoftCatalà](https://github.com/Softcatala/nmt-models/blob/master/data-processing-tools/join-single-file.py).
+
+### Personal and Sensitive Information
+
+No anonymisation process was performed.
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+The purpose of this dataset is to help develop Machines Translation tasks for low-resource languages such as 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.
+
+### 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.
+
+## Additional Information
+
+### Author
+Language Technologies Unit (LangTech) at the Barcelona Supercomputing Center.
+
+### Contact information
+For further information, please send an email to langtech@bsc.es.
+
+### Copyright
+Copyright Language Technologies Unit at Barcelona Supercomputing Center (2023).
+
+### 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 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).