README.md

metadata

language:
  - ca
  - pt
  - multilingual
multilinguality:
  - translation
pretty_name: CA-PT Parallel Corpus
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - translation
task_ids: []

Dataset Card for CA-PT Parallel Corpus

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information

Dataset Description

• Homepage: [Needs More Information]
• Repository: [Needs More Information]
• Paper: [Needs More Information]
• Leaderboard: [Needs More Information]
• Point of Contact: [email protected]

Dataset Summary

The CA-PT Parallel Corpus is a Catalan-Portuguese dataset of 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 finetune a large-scale multilingual MT system such as m2m-100.

Languages

The texts in the dataset are in Catalan and Portuguese.

Dataset Structure

Two separated txt files are provided with sentences in the same order.

Data Splits

The dataset contains a single split: train.

Dataset Creation

Source Data

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

Dataset Curators

This work was funded by the Departament de la Vicepresidència i de Polítiques Digitals i Territori de la Generalitat de Catalunya within the framework of Projecte AINA.

Licensing Information

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.