README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - pt
license:
  - unknown
multilinguality:
  - multilingual
size_categories:
  - 1M<n<10M
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
paperswithcode_id: capes
pretty_name: CAPES
tags:
  - dissertation-abstracts-translation
  - theses-translation
dataset_info:
  config_name: en-pt
  features:
    - name: translation
      dtype:
        translation:
          languages:
            - en
            - pt
  splits:
    - name: train
      num_bytes: 472483436
      num_examples: 1157610
  download_size: 285468020
  dataset_size: 472483436
configs:
  - config_name: en-pt
    data_files:
      - split: train
        path: en-pt/train-*
    default: true

Dataset Card for CAPES

Table of Contents

• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • 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
  • Contributions

Dataset Description

• Homepage:Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

A parallel corpus of theses and dissertations abstracts in English and Portuguese were collected from the CAPES website (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) - Brazil. The corpus is sentence aligned for all language pairs. Approximately 240,000 documents were collected and aligned using the Hunalign algorithm.

Supported Tasks and Leaderboards

The underlying task is machine translation.

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

@inproceedings{soares2018parallel,
  title={A Parallel Corpus of Theses and Dissertations Abstracts},
  author={Soares, Felipe and Yamashita, Gabrielli Harumi and Anzanello, Michel Jose},
  booktitle={International Conference on Computational Processing of the Portuguese Language},
  pages={345--352},
  year={2018},
  organization={Springer}
}

Contributions

Thanks to @patil-suraj for adding this dataset.