|
--- |
|
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 [email protected]. |
|
|
|
### 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). |
|
|
