--- language: - en configs: - config_name: BoolQ_train data_files: BoolQ/train.jsonl - config_name: BoolQ_unlabeled data_files: BoolQ/unlabeled.jsonl - config_name: CB_train data_files: CB/train.jsonl - config_name: CB_unlabeled data_files: CB/unlabeled.jsonl - config_name: COPA_train data_files: COPA/train.jsonl - config_name: COPA_unlabeled data_files: COPA/unlabeled.jsonl - config_name: MultiRC_train data_files: MultiRC/train.jsonl - config_name: MultiRC_unlabeled data_files: MultiRC/unlabeled.jsonl - config_name: RTE_train data_files: RTE/train.jsonl - config_name: RTE_unlabeled data_files: RTE/unlabeled.jsonl - config_name: ReCoRD_train data_files: ReCoRD/train.jsonl - config_name: ReCoRD_unlabeled data_files: ReCoRD/unlabeled.jsonl - config_name: WSC_train data_files: WSC/train.jsonl - config_name: WSC_unlabeled data_files: WSC/unlabeled.jsonl - config_name: WiC_train data_files: WiC/train.jsonl - config_name: WiC_unlabeled data_files: WiC/unlabeled.jsonl --- # [FewGLUE](https://arxiv.org/abs/2009.07118) 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. [Adapted from Original Repository](https://github.com/timoschick/fewglue) ## 📕 Citation ```misc @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} } ```