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Dataset Card for "daily_dialog"
Dataset Summary
We develop a high-quality multi-turn dialog dataset, DailyDialog, which is intriguing in several aspects. The language is human-written and less noisy. The dialogues in the dataset reflect our daily communication way and cover various topics about our daily life. We also manually label the developed dataset with communication intention and emotion information. Then, we evaluate existing approaches on DailyDialog dataset and hope it benefit the research field of dialog systems.
Supported Tasks and Leaderboards
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 4.48 MB
- Size of the generated dataset: 8.63 MB
- Total amount of disk used: 13.11 MB
An example of 'validation' looks as follows.
This example was too long and was cropped:
{
"act": [2, 1, 1, 1, 1, 2, 3, 2, 3, 4],
"dialog": "[\"Good afternoon . This is Michelle Li speaking , calling on behalf of IBA . Is Mr Meng available at all ? \", \" This is Mr Meng ...",
"emotion": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
}
Data Fields
The data fields are the same among all splits.
default
dialog
: alist
ofstring
features.act
: alist
of classification labels, with possible values including__dummy__
(0),inform
(1),question
(2),directive
(3) andcommissive
(4).emotion
: alist
of classification labels, with possible values includingno emotion
(0),anger
(1),disgust
(2),fear
(3),happiness
(4),sadness
(5) andsurprise
(6).
Data Splits
name | train | validation | test |
---|---|---|---|
default | 11118 | 1000 | 1000 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
Personal and Sensitive Information
Considerations for Using the Data
Social Impact of Dataset
Discussion of Biases
Other Known Limitations
Dataset provided for research purposes only. Please check dataset license for additional information.
Additional Information
Dataset Curators
Licensing Information
DailyDialog dataset is licensed under CC BY-NC-SA 4.0.
Citation Information
@InProceedings{li2017dailydialog,
author = {Li, Yanran and Su, Hui and Shen, Xiaoyu and Li, Wenjie and Cao, Ziqiang and Niu, Shuzi},
title = {DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset},
booktitle = {Proceedings of The 8th International Joint Conference on Natural Language Processing (IJCNLP 2017)},
year = {2017}
}
Contributions
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