This repository contains the FewGLUE dataset, consisting of a random selection of 32 training examples from the SuperGLUE training sets and up to 20,000 unlabeled examples for each SuperGLUE task.
For each task t in SuperGLUE, the directory FewGLUE/t contains two files: train.jsonl, which contains the 32 training examples, and unlabeled.jsonl, which contains all unlabeled examples.
The official development and test sets are not included as they can be found here.
All files follow the exact same format as the original SuperGLUE training files.
If you make use of FewGLUE, please cite the following paper:
@article{schick2020small,
title={It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners},
author={Timo Schick and Hinrich Schütze},
journal={Computing Research Repository},
volume={arXiv:2009.07118},
url={http://arxiv.org/abs/2009.07118},
year={2020}
}