README.md

---
dataset_info:
  features:
  - name: original_text
    dtype: string
  - name: reframed_text
    dtype: string
  - name: strategy
    dtype: string
  - name: strategy_original_text
    dtype: string
  splits:
  - name: dev
    num_bytes: 318805
    num_examples: 835
  - name: test
    num_bytes: 321952
    num_examples: 835
  - name: train
    num_bytes: 2586935
    num_examples: 6679
  download_size: 1845244
  dataset_size: 3227692
---
# positive-reframing-ptbr-dataset

Version translated into pt-br of the dataset available in the work ["Inducing Positive Perspectives with Text Reframing"](https://arxiv.org/abs/2204.02952). Used in model [positive-reframing-ptbr](https://huggingface.co/dominguesm/positive-reframing-ptbr).


**Citation:**

> Ziems, C., Li, M., Zhang, A., & Yang, D. (2022). Inducing Positive Perspectives with Text Reframing. In _Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL)_.

**BibTeX:**

```tex
@inproceedings{ziems-etal-2022-positive-frames,
    title = "Inducing Positive Perspectives with Text Reframing",
    author = "Ziems, Caleb  and
      Li, Minzhi  and
      Zhang, Anthony  and
      Yang, Diyi",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics",
    month = may,
    year = "2022",
    address = "Online and Dublin, Ireland",
    publisher = "Association for Computational Linguistics"
}
```