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bot_adversarial_dialogue

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If you use this dataset please use the following citation together with the original dataset -- Bot Adversarial Dialogue (Xu et al., NAACL 2021).

@inproceedings{mendonca2025dstc12t1,
                author = "John Mendonça and Lining Zhang and Rahul Mallidi and Luis Fernando D'Haro and João Sedoc",
                title = "Overview of Dialog System Evaluation Track: Dimensionality, Language, Culture and Safety at DSTC 12",
                booktitle = "DSTC12: The Twelfth Dialog System Technology Challenge",
                series = "26th Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)",
                year = 2025,
                month = "September",
                address = "Avignon, France"
            }

For more details please visit the website.

Baseline results using meta-llama/Llama-Guard-3-1B:

Language ROC-AUC
Arabic (ar) 0.6884
German (de) 0.7241
English (en) 0.7571
Spanish (es) 0.6961
French (fr) 0.7113
Japanese (ja) 0.7041
Portuguese (pt) 0.7146
Chinese (zh) 0.7143
Average (all) 0.7137
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