Datasets:
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
task_ids:
- acceptability-classification
- natural-language-inference
- semantic-similarity-scoring
- sentiment-classification
- text-scoring
pretty_name: PLUE (Portuguese Language Understanding Evaluation benchmark)
tags:
- paraphrase-identification
- qa-nli
- coreference-nli
configs:
- config_name: CoLA
data_files:
- split: train
path: datasets/CoLA/train.tsv
- split: dev
path: datasets/CoLA/dev.tsv
- split: test
path: datasets/CoLA/test.tsv
- config_name: MRPC
data_files:
- split: train
path: datasets/MRPC/train.tsv
- split: dev
path: datasets/MRPC/dev.tsv
- split: test
path: datasets/MRPC/test.tsv
- config_name: QNLI
data_files:
- split: train
path: datasets/QNLI/train.tsv
- split: dev
path: datasets/QNLI/dev.tsv
- split: test
path: datasets/QNLI/test.tsv
- config_name: QNLI_v2
data_files:
- split: train
path: datasets/QNLI_v2/train.tsv
- split: dev
path: datasets/QNLI_v2/dev.tsv
- split: test
path: datasets/QNLI_v2/test.tsv
- config_name: QQP_v2
data_files:
- split: train
path: datasets/QQP_v2/train.tsv
- split: dev
path: datasets/QQP_v2/dev.tsv
- split: test
path: datasets/QQP_v2/test.tsv
- config_name: RTE
data_files:
- split: train
path: datasets/RTE/train.tsv
- split: dev
path: datasets/RTE/dev.tsv
- split: test
path: datasets/RTE/test.tsv
- config_name: SciTail
data_files:
- split: train
path: datasets/SciTail/train.tsv
- split: dev
path: datasets/SciTail/dev.tsv
- split: test
path: datasets/SciTail/test.tsv
- config_name: SST-2
data_files:
- split: train
path: datasets/SST-2/train.tsv
- split: dev
path: datasets/SST-2/dev.tsv
- split: test
path: datasets/SST-2/test.tsv
- config_name: STS-B
data_files:
- split: train
path: datasets/STS-B/train.tsv
- split: dev
path: datasets/STS-B/dev.tsv
- split: test
path: datasets/STS-B/test.tsv
- config_name: WNLI
data_files:
- split: train
path: datasets/WNLI/train.tsv
- split: dev
path: datasets/WNLI/dev.tsv
- split: test
path: datasets/WNLI/test.tsv
- config_name: SNLI
data_files:
- split: train_raw
path: datasets/SNLI/train_raw.tsv
- split: train
path: datasets/SNLI/train.tsv
- split: dev
path: datasets/SNLI/dev.tsv
- split: test
path: datasets/SNLI/test.tsv
- config_name: MNLI
data_files:
- split: test_matched
path: datasets/MNLI/test_matched.tsv
- split: test_mismatched
path: datasets/MNLI/test_mismatched.tsv
- split: dev_matched
path: datasets/MNLI/dev_matched.tsv
- split: dev_mismatched
path: datasets/MNLI/dev_mismatched.tsv
- split: train
path: datasets/MNLI/train.tsv
PLUE
- Repository: https://github.com/ju-resplande/PLUE
- Paper:
- Leaderboard:
- Point of Contact:
Portuguese translation of the GLUE benchmark, SNLI, and Scitail using OPUS-MT model and Google Cloud Translation.
The language data in PLUE is Brazilian Portuguese (BCP-47 pt-BR)
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.