metadata
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- conversational
task_ids:
- dialogue-generation
paperswithcode_id: blended-skill-talk
pretty_name: BlendedSkillTalk
dataset_info:
features:
- name: personas
sequence: string
- name: additional_context
dtype: string
- name: previous_utterance
sequence: string
- name: context
dtype: string
- name: free_messages
sequence: string
- name: guided_messages
sequence: string
- name: suggestions
sequence:
- name: convai2
dtype: string
- name: empathetic_dialogues
dtype: string
- name: wizard_of_wikipedia
dtype: string
- name: guided_chosen_suggestions
sequence: string
- name: label_candidates
sequence:
sequence: string
splits:
- name: train
num_bytes: 10830670
num_examples: 4819
- name: validation
num_bytes: 43961447
num_examples: 1009
- name: test
num_bytes: 44449895
num_examples: 980
download_size: 10897644
dataset_size: 99242012
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
Dataset Card for "blended_skill_talk"
Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://parl.ai/projects/bst/
- Repository: More Information Needed
- Paper: Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills
- Point of Contact: More Information Needed
- Size of downloaded dataset files: 38.11 MB
- Size of the generated dataset: 15.08 MB
- Total amount of disk used: 53.17 MB
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
Languages
Dataset Structure
Data Instances
default
- Size of downloaded dataset files: 38.11 MB
- Size of the generated dataset: 15.08 MB
- Total amount of disk used: 53.17 MB
An example of 'train' looks as follows.
{
'personas': ['my parents don t really speak english , but i speak italian and english.', 'i have three children.'],
'additional_context': 'Backstreet Boys',
'previous_utterance': ['Oh, I am a BIG fan of the Backstreet Boys! Have you ever seen them performing live?', "No,I listen to their music a lot, mainly the unbreakable which is the Backstreet Boys' sixth studio album. "],
'context': 'wizard_of_wikipedia',
'free_messages': ['you are very knowledgeable, do you prefer nsync or bsb?', "haha kids of this days don't know them, i'm 46 and i still enjoying them, my kids only listen k-pop", "italian?haha that's strange, i only talk english and a little spanish "],
'guided_messages': ["i don't have a preference, they are both great. All 3 of my kids get annoyed when I listen to them though.", 'Sometimes I sing their songs in Italian, that really annoys them lol.', 'My parents barely speak English, so I was taught both. By the way, what is k-pop?'],
'suggestions': {'convai2': ["i don't have a preference , both are pretty . do you have any hobbies ?", "do they the backstreet boys ? that's my favorite group .", 'are your kids interested in music ?'], 'empathetic_dialogues': ['I actually just discovered Imagine Dragons. I love them!', "Hahaha that just goes to show ya, age is just a umber!'", 'That would be hard! Do you now Spanish well?'], 'wizard_of_wikipedia': ['NSYNC Also had Lance Bass and Joey Fatone, sometimes called the Fat One.', 'Yes, there are a few K-Pop songs that I have heard good big in the USA. It is the most popular in South Korea and has Western elements of pop.', 'English, beleive it or not.']},
'guided_chosen_suggestions': ['convai2', '', ''],
'label_candidates': []}
Data Fields
The data fields are the same among all splits.
default
personas: alistofstringfeatures.additional_context: astringfeature.previous_utterance: alistofstringfeatures.context: astringfeature.free_messages: alistofstringfeatures.guided_messgaes: alistofstringfeatures.suggestions: a dictionary feature containing:convai2: astringfeature.empathetic_dialogues: astringfeature.wizard_of_wikipedia: astringfeature.
guided_chosen_suggestions: alistofstringfeatures.label_candidates: alistoflistsofstringfeatures.
Data Splits
| name | train | validation | test |
|---|---|---|---|
| default | 4819 | 1009 | 980 |
Dataset Creation
Curation Rationale
Source Data
Initial Data Collection and Normalization
Who are the source language producers?
Annotations
Annotation process
Who are the annotators?
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
@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.