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--- |
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language: |
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- en |
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configs: |
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- config_name: BoolQ_train |
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data_files: BoolQ/train.jsonl |
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- config_name: BoolQ_unlabeled |
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data_files: BoolQ/unlabeled.jsonl |
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- config_name: CB_train |
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data_files: CB/train.jsonl |
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- config_name: CB_unlabeled |
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data_files: CB/unlabeled.jsonl |
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- config_name: COPA_train |
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data_files: COPA/train.jsonl |
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- config_name: COPA_unlabeled |
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data_files: COPA/unlabeled.jsonl |
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- config_name: MultiRC_train |
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data_files: MultiRC/train.jsonl |
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- config_name: MultiRC_unlabeled |
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data_files: MultiRC/unlabeled.jsonl |
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- config_name: RTE_train |
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data_files: RTE/train.jsonl |
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- config_name: RTE_unlabeled |
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data_files: RTE/unlabeled.jsonl |
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- config_name: ReCoRD_train |
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data_files: ReCoRD/train.jsonl |
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- config_name: ReCoRD_unlabeled |
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data_files: ReCoRD/unlabeled.jsonl |
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- config_name: WSC_train |
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data_files: WSC/train.jsonl |
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- config_name: WSC_unlabeled |
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data_files: WSC/unlabeled.jsonl |
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- config_name: WiC_train |
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data_files: WiC/train.jsonl |
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- config_name: WiC_unlabeled |
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data_files: WiC/unlabeled.jsonl |
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--- |
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# [FewGLUE](https://arxiv.org/abs/2009.07118) |
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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. |
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[Adapted from Original Repository](https://github.com/timoschick/fewglue) |
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## 📕 Citation |
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```misc |
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@article{schick2020small, |
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title={It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners}, |
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author={Timo Schick and Hinrich Schütze}, |
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journal={Computing Research Repository}, |
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volume={arXiv:2009.07118}, |
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url={http://arxiv.org/abs/2009.07118}, |
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year={2020} |
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} |
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``` |
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