metadata

pretty_name: ExtraGLUE
language:
  - pt
source_datasets:
  - glue
  - superglue
license: cc-by-4.0

ExtraGLUE

ExtraGLUE is a Portuguese dataset obtained by the automatic translation of some of the tasks in the GLUE and SuperGLUE benchmarks. The 14 tasks in extraGLUE cover different aspects of language understanding:

Single sentence

SST-2 is a task for predicting the sentiment polarity of movie reviews.

Semantic similarity

MRPC is a task for determining whether a pair of sentences are mutual paraphrases.
STS-B is a task for predicting a similarity score (from 1 to 5) for each sentence pair.

Inference

MNLI is a task to determine if a given premise sentence entails, contradicts, or is neutral to a hypothesis sentence; this task includes matched (in-domain) and mismatched (cross-domain) validation and test sets.
QNLI is a question-answering task converted to determine whether the context sentence contains the answer to the question.
RTE is a task for determining whether a premise sentence entails a hypothesis sentence.
WNLI is a pronoun resolution task formulated as sentence pair entailment classification where, in the second sentence, the pronoun is replaced by a possible referent.
CB comprises short texts with embedded clauses; one such clause is extracted as a hypothesis and should be classified as neutral, entailment or contradiction.
AX_b is designed to test models across a wide spectrum of linguistic, commonsense, and world knowledge; each instance contains a sentence pair labeled with entailment or not entailment.
AX_g is designed to measure gender bias, where each premise sentence includes a male or female pronoun and a hypothesis includes a possible referent for the pronoun.

Question answering

BoolQ is a question-answering task where yes/no questions are given for short text passages.
MultiRC is a task where, given a context paragraph, a question, and an answer, the goal is to determine whether the answer is true; for the same context and question, more than one answer may be correct.

Reasoning

CoPA is a casual reasoning task: given a premise, two choices, and a cause/effect prompt, the system must choose one of the choices.