README.md

metadata

license: mit
language:
  - en
tags:
  - dialogue segmentation
size_categories:
  - n<1K

Dataset Card for SuperDialseg

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://github.com/xyease/TADAM
• Repository: 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 for constructing this dataset.
• Thanks to @Coldog2333 for adding this dataset.