language:ind license:unknown dialogue-system region:us
Cross-lingual Outline-based Dialogue (COD) is a dataset comprised of manually generated, localized, and cross-lingually aligned Task-Oriented-Dialogue (TOD) data that served as the source of dialogue prompts.
COD enables natural language understanding, dialogue state tracking, and end-to-end dialogue modeling and evaluation.
Majewska et al. (2022) create COD using a novel outline-based annotation pipeline for multilingual TOD by Majewska et al. (2022).
English Schema-Guided Dialogue (SGD; Shah et al., 2018; Rastogi et al., 2020) dataset is automatically sampled and mapped into outlines. The outlines are then paraphrased and adapted to the local target domain by human subjects.
@article{majewska2022cross,
  title={Cross-lingual dialogue dataset creation via outline-based generation},
  author={Majewska, Olga and Razumovskaia, Evgeniia and Ponti, Edoardo Maria and Vuli{\'c}, Ivan and Korhonen, Anna},
  journal={arXiv preprint arXiv:2201.13405},
  year={2022}
}
---
license: unknown
tags:
- dialogue-system
language:
- ind
---

# cod

Cross-lingual Outline-based Dialogue (COD) is a dataset comprised of manually generated, localized, and cross-lingually aligned Task-Oriented-Dialogue (TOD) data that served as the source of dialogue prompts.

COD enables natural language understanding, dialogue state tracking, and end-to-end dialogue modeling and evaluation.

Majewska et al. (2022) create COD using a novel outline-based annotation pipeline for multilingual TOD by Majewska et al. (2022).

English Schema-Guided Dialogue (SGD; Shah et al., 2018; Rastogi et al., 2020) dataset is automatically sampled and mapped into outlines. The outlines are then paraphrased and adapted to the local target domain by human subjects.

## Dataset Usage

Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.

## Citation

```
@article{majewska2022cross,
  title={Cross-lingual dialogue dataset creation via outline-based generation},
  author={Majewska, Olga and Razumovskaia, Evgeniia and Ponti, Edoardo Maria and Vuli{'c}, Ivan and Korhonen, Anna},
  journal={arXiv preprint arXiv:2201.13405},
  year={2022}
}
```

## License

Unknown

## Homepage

[https://github.com/cambridgeltl/COD](https://github.com/cambridgeltl/COD)

### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)