super_dialseg / README.md
Coldog2333's picture
initialize the model card.
9120f17
|
raw
history blame
4.34 kB
---
license: apache-2.0
language:
- en
tags:
- dialogue segmentation
size_categories:
- 1K<n<10K
---
# 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:**
- **Repository:**
- **Paper:** SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation
- **Leaderboard:** [https://github.com/Coldog2333/SuperDialseg](https://github.com/Coldog2333/SuperDialseg)
- **Point of Contact:** jiangjf@is.s.u-tokyo.ac.jp
### Dataset Summary
[More Information Needed]
### Supported Tasks and Leaderboards
[More Information Needed]
### Languages: English
## Dataset Structure
### Data Instances
```
{
"dial_data": {
"super_dialseg": [
{
"dial_id": "8df07b7a98990db27c395cb1f68a962e",
"turns": [
{
"da": "query_condition",
"role": "user",
"turn_id": 0,
"utterance": "Hello, I forgot o update my address, can you help me with that?",
"topic_id": 0,
"segmentation_label": 0
},
...
{
"da": "respond_solution",
"role": "agent",
"turn_id": 11,
"utterance": "DO NOT contact the New York State DMV to dispute whether you violated a toll regulation or failed to pay the toll , fees or other charges",
"topic_id": 4,
"segmentation_label": 0
}
],
...
}
]
}
```
### 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
SuperDialseg follows the dataset splits of the original DGDS dataset.
## Dataset Creation
### Curation Rationale
[More Information Needed]
### Source Data
#### Initial Data Collection and Normalization
SuperDialseg was built on the top of doc2dial and MultiDoc2dial datasets.
Please refer to the original papers for more details.
#### Who are the source language producers?
[More Information Needed]
### Annotations
#### Annotation process
[More Information Needed]
#### Who are the annotators?
The annotation of dialogue segmentation points is constructed by a set of well-designed strategy. Please refer to the paper for more details.
Other annotations like Dialogue Act and Role information are derived from doc2dial and MultiDoc2dial datasets.
### 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
Apache License Version 2.0, following the licenses of doc2dial and MultiDoc2dial.
### Citation Information
Coming soon
### Contributions
Thanks to [@Coldog2333](https://github.com/Coldog2333) for adding this dataset.