
# Dataset Card for "blended_skill_talk"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Additional Information](#additional-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)

### Dataset Summary

Russian version of the Blended Skill Talk dataset. Each replica was translated separately using a paid translator. A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.

## Dataset Structure

### Data Instances

An example of 'train' looks as follows.
```
{
  "personas": ["мне все время звонит женщина.", "однажды мне предложили профессионально заниматься баскетболом."],
  "additional_context": "",
  "previous_utterance": ["Я по-настоящему обрадовался, когда мой папа подарил мне мой первый автомобиль. Это было просто счастливое чувство", "Да. Мне знакомо это чувство, хотя мне пришлось купить свой собственный."],
  "context": "empathetic_dialogues", "free_messages": ["Автомобиль был именно таким, как я хотел, - спортивная машина новой модели.", "Mustang GT с откидным верхом", "Несколько лет назад я помогал с реставрацией 67-го. Это было просто великолепно."],
  "guided_messages": ["Это был хороший выбор, что это была за машина?", "Мило! Жаль, что вам не удалось заполучить в свои руки "Мустанг II" 1963 года выпуска. Это моя любимая машина.", "Это звучит потрясающе. Вы восстановили его вместе со своим отцом?"],
  "suggestions": {
    "convai2": ["я не большой любитель спортивных автомобилей, лол. мне нужна машина, которая может испачкаться", "я не большой любитель спортивных автомобилей, лол. мне нужна машина, которая может испачкаться", "мы с папой восстановили мой, он принадлежал ему."],
    "empathetic_dialogues": ["Это был хороший выбор, рассматривали ли вы какие-либо другие марки / модели?", "О, ничего себе, это потрясающая машина.", "Это звучит как классический автомобиль. Ты часто катался на нем со своим отцом?"],
    "wizard_of_wikipedia": ["Это круто. Мне нравятся экономичные автомобили, потому что они доступны по цене", "Мило! Жаль, что вам не удалось заполучить в свои руки Mustang II 1963 года выпуска, который представляет собой четырехместный концепт-кар.", "Мило! Жаль, что вам не удалось заполучить в свои руки Mustang II 1963 года выпуска, который представляет собой четырехместный концепт-кар."]},
  "guided_chosen_suggestions": ["empathetic_dialogues", "wizard_of_wikipedia", "empathetic_dialogues"]
}
```

Original version of dataset has "label_candidates" field. It was not translated.

### Data Fields

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.
- `guided_chosen_suggestions`: a `list` of `string` features.

### Data Splits

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

## Additional 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 [@artemsnegirev](https://github.com/artemsnegirev), [Dmitriy Sidorenko](https://github.com/DimaSidorenko) 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:ru license:unknown arxiv:2004.08449 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["ru"], "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"}], "splits": [{"name": "train", "num_examples": 4819}, {"name": "validation", "num_examples": 1009}, {"name": "test", "num_examples": 980}]}}
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-Russian #license-unknown #arxiv-2004.08449 #region-us 

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


Table of Contents
-----------------


* Dataset Description
	+ Dataset Summary
* Dataset Structure
	+ Data Instances
	+ Data Fields
	+ Data Splits
* Additional 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:


### Dataset Summary


Russian version of the Blended Skill Talk dataset. Each replica was translated separately using a paid translator. A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.


Dataset Structure
-----------------


### Data Instances


An example of 'train' looks as follows.


Original version of dataset has "label\_candidates" field. It was not translated.


### Data Fields


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.
* 'guided\_chosen\_suggestions': a 'list' of 'string' features.


### Data Splits



Additional Information
----------------------


### Contributions


Thanks to @artemsnegirev, Dmitriy Sidorenko for adding this dataset.



### Dataset Summary


Russian version of the Blended Skill Talk dataset. Each replica was translated separately using a paid translator. A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows.


Original version of dataset has "label\_candidates" field. It was not translated. ### Data Fields


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



Additional Information
---------------------- ### Contributions


Thanks to @artemsnegirev, Dmitriy Sidorenko 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-Russian #license-unknown #arxiv-2004.08449 #region-us 
 ### Dataset Summary


Russian version of the Blended Skill Talk dataset. Each replica was translated separately using a paid translator. A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.


Dataset Structure
----------------- ### Data Instances


An example of 'train' looks as follows.


Original version of dataset has "label\_candidates" field. It was not translated. ### Data Fields


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



Additional Information
---------------------- ### Contributions


Thanks to @artemsnegirev, Dmitriy Sidorenko 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-Russian #license-unknown #arxiv-2004.08449 #region-us 
### Dataset Summary


Russian version of the Blended Skill Talk dataset. Each replica was translated separately using a paid translator. A dataset of 7k conversations explicitly designed to exhibit multiple conversation modes: displaying personality, having empathy, and demonstrating knowledge.


Dataset Structure
-----------------### Data Instances


An example of 'train' looks as follows.


Original version of dataset has "label\_candidates" field. It was not translated.### Data Fields


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



Additional Information
----------------------### Contributions


Thanks to @artemsnegirev, Dmitriy Sidorenko for adding this dataset.