plue / README.md
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metadata
annotations_creators:
  - found
language_creators:
  - machine-generated
language:
  - pt
license:
  - lgpl-3.0
multilinguality:
  - monolingual
  - translation
size_categories:
  - 10K<n<100K
source_datasets:
  - extended|glue
task_categories:
  - text-classification
  - text-scoring
task_ids:
  - natural-language-inference
  - acceptability-classification
  - sentiment-classification
  - semantic-similarity-scoring
pretty_name: PLUE (Portuguese Language Understanding Evaluation benchmark)
tags:
  - paraphrase-identification
  - qa-nli
  - coreference-nli

Dataset Card for PLUE

Table of Contents

Dataset Description

Dataset Summary

Portuguese translation of the GLUE benchmark, SNLI, and Scitail using OPUS-MT model and Google Cloud Translation.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

The language data in PLUE is Brazilian Portuguese (BCP-47 pt-BR)

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

@misc{Gomes2020,
  author = {GOMES, J. R. S.},
  title = {PLUE: Portuguese Language Understanding Evaluation},
  year = {2020},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/jubs12/PLUE}},
  commit = {CURRENT_COMMIT}
}

Contributions

Thanks to @ju-resplande for adding this dataset.