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