Awesome
FewGLUE
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.
🗂️ Structure
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.
📑 Format
All files follow the exact same format as the original SuperGLUE training files.
📕 Citation
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}
}