metadata

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

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

📕 Citation

@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}
}