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---
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"
}
``` |