feat: hello world

.gitattributes

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 *.jpg filter=lfs diff=lfs merge=lfs -text
 *.jpeg filter=lfs diff=lfs merge=lfs -text
 *.webp filter=lfs diff=lfs merge=lfs -text
+*.jsonl filter=lfs diff=lfs merge=lfs -text

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README.md

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+---
+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}
+}
+```

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