README.md

metadata

annotations_creators:
  - found
language_creators:
  - machine-generated
languages:
  - pt
licenses:
  - lgpl-3.0
multilinguality:
  - monolingual
  - translation
pretty_name: PLUE (Portuguese Language Understanding Evaluation benchmark)
size_categories:
  - 10K<n<100K
source_datasets:
  - extended|glue
task_categories:
  ax:
    - text-classification
  cola:
    - text-classification
  mnli:
    - text-classification
  mnli_matched:
    - text-classification
  mnli_mismatched:
    - text-classification
  mrpc:
    - text-classification
  qnli:
    - text-classification
  qqp:
    - text-classification
  rte:
    - text-classification
  scitail:
    - text-classification
  snli:
    - text-classification
  sst2:
    - text-classification
  stsb:
    - text-scoring
  wnli:
    - text-classification
task_ids:
  ax:
    - natural-language-inference
  cola:
    - acceptability-classification
  mnli:
    - natural-language-inference
  mnli_matched:
    - natural-language-inference
  mnli_mismatched:
    - natural-language-inference
  mrpc:
    - text-classification-other-paraphrase-identification
  qnli:
    - text-classification-other-qa-nli
  qqp:
    - text-classification-other-paraphrase-identification
  rte:
    - natural-language-inference
  scitail:
    - natural-language-inference
  snli:
    - natural-language-inference
  sst2:
    - sentiment-classification
  stsb:
    - semantic-similarity-scoring
  wnli:
    - text-classification-other-coreference-nli

Dataset Card for PLUE

Table of Contents

• 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

• Repository: https://github.com/ju-resplande/PLUE
• Paper:
• Leaderboard:
• Point of Contact:

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.