Create README.md

README.md

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+---
+license: cc-by-4.0
+language:
+- en
+configs:
+- config_name: Contrastive Learning
+  data_files:
+  - split: train
+    path: "train/data-00000-of-00001.arrow"
+  - split: dev
+    path: "validation/data-00000-of-00001.arrow"
+  - split: test
+    path: "test/data-00000-of-00001.arrow"
+- config_name: Thresholding
+  data_files:
+  - split: train
+    path: "train/train.csv"
+  - split: val
+    path: "validation/validation.csv"
+  - split: test
+    path: "test/test.csv"
+---
+
+AV task used in "Tokenization is Sensitive to Language Variation" paper, Arxiv [link](https://arxiv.org/abs/2502.15343).
+
+Note that "Contrastive Learning" Train/Dev files were used with contrastive learning (SupConLoss) to fine-tune BERT models. Then a threshold was chosen based on the Thresholding Dev file and the performance was calculated on the Thresholding Test file.
+
+```
+@article{wegmann2025tokenization,
+  title={Tokenization is Sensitive to Language Variation},
+  author={Wegmann, Anna and Nguyen, Dong and Jurgens, David},
+  journal={arXiv preprint arXiv:2502.15343},
+  year={2025}
+}
+```