---
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}
}
```