Update README.md

README.md

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 ExtraGLUE
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-ExtraGLUE comprises 4 tasks from GLUE (viz. MRPC, RTE, STS-B, and WNLI) and 4 tasks from SuperGLUE (viz. BoolQ, CB, COPA, and MultiRC), automatically translated from English into two variants of Portuguese, namely American Portuguese and European Portuguese.
-
-The tasks cover different aspects of understanding, such as semantic similarity and entailment.
-
-- MRPC (Microsoft Research Paraphrase Corpus): A data set of sentence pairs, annotated as to whether they are paraphrases of each other.
-- RTE (Recognizing Textual Entailment): A data set of sentence pairs, annotated as to whether one (the premise) entails the other (the hypothesis).
-- STS-B (Semantic Textual Similarity Benchmark): A data set of sentence pairs annotated with a 0-5 score indicating the semantic similarity between the two sentences.
-- WNLI (Winograd Natural Language Inference): A data set of sentence pairs where the first sentence contains a pronoun whose referent must be correctly resolved in order to determine whether the first sentence entails the second sentence.
-- BoolQ (Boolean Questions): A data set of text excerpts and questions with yes/no answers.
-- CB (CommitmentBank): A data set of excerpt-clause pairs, where the clause has been extracted from the excerpt. Each pair is classified as to whether the excerpt implies, contradicts, or is neutral in relation to the clause.
-- COPA (Choice of Plausible Alternatives): A data set containing a premise, two alternative sentences, and a cause/effect indication. The task consists of indicating which of the two alternative sentences is the cause/effect of the premise.
-- MultiRC (Multi-Sentence Reading Comprehension): A data set where each instance consists of a context paragraph, a question about that paragraph, and an answer, labeled as to whether the answer is true or false. For the a given context paragraph there may be multiple questions, and for each question there may be multiple answers, some true and some false.
+ExtraGLUE is a Portuguese dataset obtained by the automatic translation of some of the tasks in the GLUE and SuperGLUE benchmarks.
+The 14 datasets in extraGLUE cover different aspects of language understanding: 
+
+*Semantic similarity*
+
+- SST-2
+- MRPC
+- STS-B
+
+*Inference*
+
+- MNLI: matched and mismatched
+- QNLI
+- RTE
+- WNLI
+- CB
+- AB: b and g
+
+*Question answering*
+
+- BoolQ
+- MultiRC
+
+*Reasoning*
+
+- CoPA