
# Dataset Card for "blended_skill_talk"

## 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:** [https://parl.ai/projects/bst/](https://parl.ai/projects/bst/)
- **Repository:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Paper:** [Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills](https://arxiv.org/abs/2004.08449v1)
- **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **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

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Languages

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## 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`: 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.
- `guided_chosen_suggestions`: a `list` of `string` features.
- `label_candidates`: a `list` of `lists` of `string` features.

### Data Splits

| name  |train|validation|test|
|-------|----:|---------:|---:|
|default| 4819|      1009| 980|

## Dataset Creation

### Curation Rationale

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the source language producers?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

#### Who are the annotators?

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Personal and Sensitive Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Discussion of Biases

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Other Known Limitations

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Licensing Information

[More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### 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](https://github.com/lewtun), [@thomwolf](https://github.com/thomwolf), [@lhoestq](https://github.com/lhoestq), [@patrickvonplaten](https://github.com/patrickvonplaten), [@mariamabarham](https://github.com/mariamabarham) for adding this dataset.
task_categories:conversational task_ids:dialogue-generation annotations_creators:crowdsourced language_creators:crowdsourced multilinguality:monolingual size_categories:1K<n<10K source_datasets:original language:en license:unknown arxiv:2004.08449 region:us
{"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-*"}]}]}
TAGS
#task_categories-conversational #task_ids-dialogue-generation #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #arxiv-2004.08449 #region-us 

Dataset Card for "blended\_skill\_talk"
=======================================


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: URL
* Repository:
* Paper: Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills
* Point of Contact:
* 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.


### 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.
* 'guided\_chosen\_suggestions': a 'list' of 'string' features.
* 'label\_candidates': a 'list' of 'lists' of 'string' features.


### Data Splits



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


### Contributions


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



### 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. ### 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.
* 'guided\_chosen\_suggestions': a 'list' of 'string' features.
* 'label\_candidates': a 'list' of 'lists' of 'string' features. ### Data Splits



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 ### Contributions


Thanks to @lewtun, @thomwolf, @lhoestq, @patrickvonplaten, @mariamabarham for adding this dataset.
TAGS
#task_categories-conversational #task_ids-dialogue-generation #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #arxiv-2004.08449 #region-us 
 ### 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. ### 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.
* 'guided\_chosen\_suggestions': a 'list' of 'string' features.
* 'label\_candidates': a 'list' of 'lists' of 'string' features. ### Data Splits



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 ### Contributions


Thanks to @lewtun, @thomwolf, @lhoestq, @patrickvonplaten, @mariamabarham for adding this dataset.
passage: TAGS
#task_categories-conversational #task_ids-dialogue-generation #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-1K<n<10K #source_datasets-original #language-English #license-unknown #arxiv-2004.08449 #region-us 
### 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.### 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.
* 'guided\_chosen\_suggestions': a 'list' of 'string' features.
* 'label\_candidates': a 'list' of 'lists' of 'string' features.### Data Splits



Dataset Creation
----------------### Curation Rationale### Source Data#### Initial Data Collection and Normalization#### Who are the source language producers?### Annotations