The primary GLUE tasks are built on and derived from existing datasets. We refer users to the original licenses accompanying each dataset. Citation Information.

Downloading and extracting MNLI... Note (12/10/20): This script no longer downloads SNLI. You will need to manually download and format the data to use SNLI.

6 дек. 2022 г. · A collection of resources for training, evaluating, and analyzing natural language understanding systems. glue/mrpc · glue/mnli · glue/mnli_matched · glue/qnli

GLUE benchmark is a collection of nine natural language understanding tasks, including single-sentence tasks CoLA and SST-2, similarity and paraphrasing tasks ...

A diagnostic dataset designed to evaluate and analyze model performance with respect to a wide range of linguistic phenomena found in natural language, and; A ...

GLUE, the General Language Understanding Evaluation benchmark is a collection of resources for training, evaluating, and analyzing natural language ...

Data repository for seaborn examples. Contribute to mwaskom/seaborn-data development by creating an account on GitHub.

This dataset evaluates sentence understanding through Natural Language Inference (NLI) problems. Use a model trained on MulitNLI to produce predictions for this ...

The General Language Understanding Evaluation (GLUE) benchmark is a collection of resources for training, evaluating, and analyzing natural language ...

In this article, learn how to easily access and use the GLUE and SuperGLUE benchmarking datasets via the Hugging Face API for your NLP project.