Dataset Card for "blended_skill_talk"

Dataset Summary

A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.

Supported Tasks and Leaderboards

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Languages

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Dataset Structure

We show detailed information for up to 5 configurations of the dataset.

Data Instances

default

• Size of downloaded dataset files: 36.34 MB
• Size of the generated dataset: 14.38 MB
• Total amount of disk used: 50.71 MB

An example of 'train' looks as follows.

This example was too long and was cropped:

{
    "additional_context": "Electrician",
    "context": "wizard_of_wikipedia",
    "free_messages": "[\"Which level are you at?\", \"Thats great! How long have you been doing this work? \", \"Sounds like it could be a dangerous job at...",
    "guided_messages": ["I received on-the-job training when i first started", "For a good number of years now.", "That it is,especially if you dont take the proper measures", "Thats true,especially in this economy", "Do you enjoy it?", "I feel you. Stretch along the halls"],
    "personas": ["i work as an electrician.", "i always sleep 8 hours a day."],
    "previous_utterance": ["That sounds dangerous. Is it worth doing such a dangerous job?", "Wekk it is okay is you are well trained.  There are three levels: Apprentice, journeyman and Master."],
    "suggestions": "{\"convai2\": [\"i'm a grandmaster . i think they rank bridge players like chess .\", \"since i can remember . i enjoy it a lot .\", \"..."
}

Data Fields

The data fields are the same among all splits.

default

• personas: a list of string features.
• additional_context: a string feature.
• previous_utterance: a list of string features.
• context: a string feature.
• free_messages: a list of string features.
• guided_messgaes: a list of string features.
• suggestions: a dictionary feature containing:
  • convai2: a string feature.
  • empathetic_dialogues: a string feature.
  • wizard_of_wikipedia: a string feature.

Data Splits

Dataset Creation

Curation Rationale

More Information Needed

Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

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Licensing Information

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Citation Information

@misc{smith2020evaluating,
    title={Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills},
    author={Eric Michael Smith and Mary Williamson and Kurt Shuster and Jason Weston and Y-Lan Boureau},
    year={2020},
    eprint={2004.08449},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}

Contributions

Thanks to @lewtun, @thomwolf, @lhoestq, @patrickvonplaten, @mariamabarham for adding this dataset.