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README.md

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+---
+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)