Dataset Card for SciELO

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.