| # STAR: A Schema-Guided Dialog Dataset for Transfer Learning | |
| This dataset and how it came to be, along with some baseline models, are described [in this paper](https://arxiv.org/abs/2010.11853). | |
| ## Data Format | |
| Each JSON file in the `dialogues` directory contains one dialogue in the following format: | |
| | Key | Value | | |
| |----------------------------|-----------------------------------------------------------------------------------| | |
| | "AnonymizedUserWorkerID" | String that is unique for each worker but unrelated to the worker's AMT Worker ID | | |
| | "AnonymizedWizardWorkerID" | String that is unique for each worker but unrelated to the worker's AMT Worker ID | | |
| | "BatchID" | We collected dialogues in batches, identified by this ID | | |
| | "CompletionLevel" | Can be "Complete", "EarlyDisconnectDuringDialogue", or "DisconnectDuringDialogue" | | |
| | "DialogueID" | Unique ID of this dialogue | | |
| | "Events" | List of events representing the dialogue | | |
| | "FORMAT-VERSION" | | | |
| | "Scenario" | Dictionary containing information about the scenario of this dialogue | | |
| | "UserQuestionnaire" | List of question/answer pairs for questions given to the user | | |
| | "WizardQuestionnaire" | List of question/answer pairs for questions given to the wizard | | |
| ## Citation | |
| Please use the following bibtex entry if you are using STAR for your research: | |
| ``` | |
| @article{mosig2020star, | |
| author = {Johannes E. M. Mosig and Shikib Mehri and Thomas Kober}, | |
| title = "{STAR: A Schema-Guided Dialog Dataset for Transfer Learning}", | |
| journal = {arXiv e-prints}, | |
| keywords = {Computer Science - Computation and Language}, | |
| year = 2020, | |
| month = oct, | |
| eid = {arXiv:2010.11853}, | |
| archivePrefix = {arXiv}, | |
| eprint = {2010.11853}, | |
| primaryClass = {cs.CL}, | |
| } | |
| ``` |