| # Dataset Card for KVRET | |
| - **Repository:** https://nlp.stanford.edu/blog/a-new-multi-turn-multi-domain-task-oriented-dialogue-dataset/ | |
| - **Paper:** https://arxiv.org/pdf/1705.05414.pdf | |
| - **Leaderboard:** None | |
| - **Who transforms the dataset:** Qi Zhu(zhuq96 at gmail dot com) | |
| ### Dataset Summary | |
| In an effort to help alleviate this problem, we release a corpus of 3,031 multi-turn dialogues in three distinct domains appropriate for an in-car assistant: calendar scheduling, weather information retrieval, and point-of-interest navigation. Our dialogues are grounded through knowledge bases ensuring that they are versatile in their natural language without being completely free form. | |
| - **How to get the transformed data from original data:** | |
| - Run `python preprocess.py` in the current directory. | |
| - **Main changes of the transformation:** | |
| - Create user `dialogue acts` and `state` according to original annotation. | |
| - Put dialogue level kb into system side `db_results`. | |
| - Skip repeated turns and empty dialogue. | |
| - **Annotations:** | |
| - user dialogue acts, state, db_results. | |
| ### Supported Tasks and Leaderboards | |
| NLU, DST, Context-to-response | |
| ### Languages | |
| English | |
| ### Data Splits | |
| | split | dialogues | utterances | avg_utt | avg_tokens | avg_domains | cat slot match(state) | cat slot match(goal) | cat slot match(dialogue act) | non-cat slot span(dialogue act) | | |
| |------------|-------------|--------------|-----------|--------------|---------------|-------------------------|------------------------|--------------------------------|-----------------------------------| | |
| | train | 2424 | 12720 | 5.25 | 8.02 | 1 | - | - | - | 98.07 | | |
| | validation | 302 | 1566 | 5.19 | 7.93 | 1 | - | - | - | 97.62 | | |
| | test | 304 | 1627 | 5.35 | 7.7 | 1 | - | - | - | 97.72 | | |
| | all | 3030 | 15913 | 5.25 | 7.98 | 1 | - | - | - | 97.99 | | |
| 3 domains: ['schedule', 'weather', 'navigate'] | |
| - **cat slot match**: how many values of categorical slots are in the possible values of ontology in percentage. | |
| - **non-cat slot span**: how many values of non-categorical slots have span annotation in percentage. | |
| ### Citation | |
| ``` | |
| @inproceedings{eric-etal-2017-key, | |
| title = "Key-Value Retrieval Networks for Task-Oriented Dialogue", | |
| author = "Eric, Mihail and | |
| Krishnan, Lakshmi and | |
| Charette, Francois and | |
| Manning, Christopher D.", | |
| booktitle = "Proceedings of the 18th Annual {SIG}dial Meeting on Discourse and Dialogue", | |
| year = "2017", | |
| publisher = "Association for Computational Linguistics", | |
| url = "https://aclanthology.org/W17-5506", | |
| } | |
| ``` | |
| ### Licensing Information | |
| TODO |