| --- |
| language: |
| - en |
| license: |
| - apache-2.0 |
| multilinguality: |
| - monolingual |
| pretty_name: WOZ 2.0 |
| size_categories: |
| - 1K<n<10K |
| task_categories: |
| - conversational |
| --- |
| |
| # Dataset Card for WOZ 2.0 |
|
|
| - **Repository:** https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz |
| - **Paper:** https://aclanthology.org/P17-1163.pdf |
| - **Leaderboard:** None |
| - **Who transforms the dataset:** Qi Zhu(zhuq96 at gmail dot com) |
|
|
| To use this dataset, you need to install [ConvLab-3](https://github.com/ConvLab/ConvLab-3) platform first. Then you can load the dataset via: |
| ``` |
| from convlab.util import load_dataset, load_ontology, load_database |
| |
| dataset = load_dataset('woz') |
| ontology = load_ontology('woz') |
| database = load_database('woz') |
| ``` |
| For more usage please refer to [here](https://github.com/ConvLab/ConvLab-3/tree/master/data/unified_datasets). |
|
|
| ### Dataset Summary |
|
|
| Describe the dataset. |
|
|
| - **How to get the transformed data from original data:** |
| - download `woz_[train|validate|test]_en.json` from https://github.com/nmrksic/neural-belief-tracker/tree/master/data/woz and save to `woz` dir in the current directory. |
| - Run `python preprocess.py` in the current directory. |
| - **Main changes of the transformation:** |
| - domain is set to **restaurant**. |
| - normalize the value of categorical slots in state and dialogue acts. |
| - `belief_states` in WOZ dataset contains `request` intents, which are ignored in processing. |
| - use simple string match to find value spans of non-categorical slots. |
|
|
| - **Annotations:** |
| - User dialogue acts, state |
|
|
| ### Supported Tasks and Leaderboards |
|
|
| NLU, DST, E2E |
|
|
| ### 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 | 600 | 4472 | 7.45 | 11.37 | 1 | 100 | - | 100 | 96.56 | |
| | validation | 200 | 1460 | 7.3 | 11.28 | 1 | 100 | - | 100 | 95.52 | |
| | test | 400 | 2892 | 7.23 | 11.49 | 1 | 100 | - | 100 | 94.83 | |
| | all | 1200 | 8824 | 7.35 | 11.39 | 1 | 100 | - | 100 | 95.83 | |
| |
| 1 domains: ['restaurant'] |
| - **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{mrksic-etal-2017-neural, |
| title = "Neural Belief Tracker: Data-Driven Dialogue State Tracking", |
| author = "Mrk{\v{s}}i{\'c}, Nikola and |
| {\'O} S{\'e}aghdha, Diarmuid and |
| Wen, Tsung-Hsien and |
| Thomson, Blaise and |
| Young, Steve", |
| booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", |
| month = jul, |
| year = "2017", |
| address = "Vancouver, Canada", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/P17-1163", |
| doi = "10.18653/v1/P17-1163", |
| pages = "1777--1788", |
| } |
| ``` |
| |
| ### Licensing Information |
| |
| Apache License, Version 2.0 |
| |
