README.md

metadata

annotations_creators:
  - found
language_creators:
  - found
language:
  - en
  - es
  - pt
license:
  - unknown
multilinguality:
  - multilingual
size_categories:
  - 100K<n<1M
source_datasets:
  - original
task_categories:
  - translation
task_ids: []
pretty_name: SciELO
config_names:
  - en-es
  - en-pt
  - en-pt-es
dataset_info:
  - config_name: en-es
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - es
    splits:
      - name: train
        num_bytes: 71777069
        num_examples: 177782
    download_size: 39938803
    dataset_size: 71777069
  - config_name: en-pt
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - pt
    splits:
      - name: train
        num_bytes: 1032667422
        num_examples: 2828917
    download_size: 565678928
    dataset_size: 1032667422
  - config_name: en-pt-es
    features:
      - name: translation
        dtype:
          translation:
            languages:
              - en
              - pt
              - es
    splits:
      - name: train
        num_bytes: 147471820
        num_examples: 255915
    download_size: 80329522
    dataset_size: 147471820
configs:
  - config_name: en-es
    data_files:
      - split: train
        path: en-es/train-*
  - config_name: en-pt
    data_files:
      - split: train
        path: en-pt/train-*
  - config_name: en-pt-es
    data_files:
      - split: train
        path: en-pt-es/train-*

Dataset Card for SciELO

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:SciELO
• Repository:
• Paper: A Large Parallel Corpus of Full-Text Scientific Articles
• Leaderboard:
• Point of Contact:

Dataset Summary

A parallel corpus of full-text scientific articles collected from Scielo database in the following languages:English, Portuguese and Spanish. The corpus is sentence aligned for all language pairs, as well as trilingual aligned for a small subset of sentences. Alignment was carried out 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{soares2018large,
  title={A Large Parallel Corpus of Full-Text Scientific Articles},
  author={Soares, Felipe and Moreira, Viviane and Becker, Karin},
  booktitle={Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC-2018)},
  year={2018}
}

Contributions

Thanks to @patil-suraj for adding this dataset.