
facebook/blenderbot-1B-distill
Text2text Generation
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Updated on
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5
A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.
We show detailed information for up to 5 configurations of the dataset.
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 .\", \"..."
}
The data fields are the same among all splits.
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.name | train | validation | test |
---|---|---|---|
default | 4819 | 1009 | 980 |
@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}
}