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---
license: mit
language:
- en
tags:
- dialogue segmentation
size_categories:
- n<1K
---
# Dataset Card for SuperDialseg
## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Annotations](#annotations)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)
## Dataset Description
- **Homepage:** [https://github.com/xyease/TADAM](https://github.com/xyease/TADAM)
- **Repository:** [https://github.com/xyease/TADAM](https://github.com/xyease/TADAM)
- **Paper:** Topic-aware multi-turn dialogue modeling
- **Leaderboard:**
- **Point of Contact:** [email protected]
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages: English
## Dataset Structure
### Data Instances
```
{
"dial_data": {
"dialseg711": [
{
"dial_id": "dialseg711_dial_000",
"turns": [
{
"da": "",
"role": "user",
"turn_id": 0,
"utterance": "check the weather for the 7 day forecast",
"topic_id": 0,
"segmentation_label": 0
},
...
{
"da": "",
"role": "agent",
"turn_id": 23,
"utterance": "Reminder set for your meeting at 11am on the 13th with management to discuss your company picnic. Is there anything else?",
"topic_id": 4,
"segmentation_label": 1
}
],
...
}
]
}
```
### Data Fields
#### Dialogue-Level
+ `dial_id`: ID of a dialogue;
+ `turns`: All utterances of a dialogue.
#### Utterance-Level
+ `da`: Dialogue Act annotation derived from the original DGDS dataset;
+ `role`: Role annotation derived from the original DGDS dataset;
+ `turn_id`: ID of an utterance;
+ `utterance`: Text of the utterance;
+ `topic_id`: ID (order) of the current topic;
+ `segmentation_label`: 1: it is the end of a topic; 0: others.
### Data Splits
Test only
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
[More Information Needed]
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
[More Information Needed]
### Personal and Sensitive Information
[More Information Needed]
## Considerations for Using the Data
### Social Impact of Dataset
[More Information Needed]
### Discussion of Biases
[More Information Needed]
### Other Known Limitations
[More Information Needed]
## Additional Information
### Dataset Curators
[More Information Needed]
### Licensing Information
MIT License
### Citation Information
@article{xu2020topic,
title={Topic-aware multi-turn dialogue modeling},
author={Xu, Yi and Zhao, Hai and Zhang, Zhuosheng},
journal={arXiv preprint arXiv:2009.12539},
year={2020}
}
### Contributions
+ Thanks to [@xyease](https://github.com/xyease) for constructing this dataset.
+ Thanks to [@Coldog2333](https://github.com/Coldog2333) for adding this dataset. |