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license: cc-by-nc-nd-4.0 |
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task_categories: |
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- text-classification |
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- text-generation |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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# DOROTHIE |
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## Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents |
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**[Research Paper](https://arxiv.org/abs/2210.12511) | [Github](https://github.com/sled-group/DOROTHIE) | [Huggingface](https://huggingface.co/datasets/sled-umich/DOROTHIE)** |
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Authored by [Ziqiao Ma](https://mars-tin.github.io/), Ben VanDerPloeg, Cristian-Paul Bara, [Yidong Huang](https://sled.eecs.umich.edu/author/yidong-huang/), Eui-In Kim, Felix Gervits, Matthew Marge, [Joyce Chai](https://web.eecs.umich.edu/~chaijy/) |
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DOROTHIE (Dialogue On the ROad To Handle Irregular Events) is an innovative interactive simulation platform designed to create unexpected scenarios on the fly. This tool facilitates empirical studies on situated communication with autonomous driving agents. |
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This dataset is the pure dialogue dataset, if you want to see the whole simulation process and download the full dataset, please visit our [Github homepage](https://github.com/sled-group/DOROTHIE) |
