
# Dataset Card for "empathetic_dialogues"

## 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://github.com/facebookresearch/EmpatheticDialogues](https://github.com/facebookresearch/EmpatheticDialogues)
- **Repository:** https://github.com/facebookresearch/EmpatheticDialogues
- **Paper:** [Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset](https://arxiv.org/abs/1811.00207)
- **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:** 28.02 MB
- **Size of the generated dataset:** 25.13 MB
- **Total amount of disk used:** 53.15 MB

### Dataset Summary

PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

### 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:** 28.02 MB
- **Size of the generated dataset:** 25.13 MB
- **Total amount of disk used:** 53.15 MB

An example of 'train' looks as follows.
```
{
    "context": "sentimental",
    "conv_id": "hit:0_conv:1",
    "prompt": "I remember going to the fireworks with my best friend. There was a lot of people_comma_ but it only felt like us in the world.",
    "selfeval": "5|5|5_2|2|5",
    "speaker_idx": 1,
    "tags": "",
    "utterance": "I remember going to see the fireworks with my best friend. It was the first time we ever spent time alone together. Although there was a lot of people_comma_ we felt like the only people in the world.",
    "utterance_idx": 1
}
```

### Data Fields

The data fields are the same among all splits.

#### default
- `conv_id`: a `string` feature.
- `utterance_idx`: a `int32` feature.
- `context`: a `string` feature.
- `prompt`: a `string` feature.
- `speaker_idx`: a `int32` feature.
- `utterance`: a `string` feature.
- `selfeval`: a `string` feature.
- `tags`: a `string` feature.

### Data Splits

| name  |train|validation|test |
|-------|----:|---------:|----:|
|default|76673|     12030|10943|

## 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

Creative Commons [Attribution-NonCommercial 4.0 International](https://creativecommons.org/licenses/by-nc/4.0/).

### Citation Information

```
@inproceedings{rashkin-etal-2019-towards,
    title = "Towards Empathetic Open-domain Conversation Models: A New Benchmark and Dataset",
    author = "Rashkin, Hannah  and
      Smith, Eric Michael  and
      Li, Margaret  and
      Boureau, Y-Lan",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1534",
    doi = "10.18653/v1/P19-1534",
    pages = "5370--5381",
}
```

### Contributions

Thanks to [@thomwolf](https://github.com/thomwolf), [@patrickvonplaten](https://github.com/patrickvonplaten), [@lewtun](https://github.com/lewtun) for adding this dataset.
task_categories:conversational task_categories:question-answering task_ids:dialogue-generation task_ids:open-domain-qa annotations_creators:crowdsourced language_creators:crowdsourced multilinguality:monolingual size_categories:10K<n<100K source_datasets:original language:en license:cc-by-nc-4.0 arxiv:1811.00207 region:us
{"annotations_creators": ["crowdsourced"], "language_creators": ["crowdsourced"], "language": ["en"], "license": ["cc-by-nc-4.0"], "multilinguality": ["monolingual"], "size_categories": ["10K<n<100K"], "source_datasets": ["original"], "task_categories": ["conversational", "question-answering"], "task_ids": ["dialogue-generation", "open-domain-qa"], "paperswithcode_id": "empatheticdialogues", "pretty_name": "EmpatheticDialogues", "dataset_info": {"features": [{"name": "conv_id", "dtype": "string"}, {"name": "utterance_idx", "dtype": "int32"}, {"name": "context", "dtype": "string"}, {"name": "prompt", "dtype": "string"}, {"name": "speaker_idx", "dtype": "int32"}, {"name": "utterance", "dtype": "string"}, {"name": "selfeval", "dtype": "string"}, {"name": "tags", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 3011332, "num_examples": 10943}, {"name": "train", "num_bytes": 19040509, "num_examples": 76673}, {"name": "validation", "num_bytes": 3077481, "num_examples": 12030}], "download_size": 28022709, "dataset_size": 25129322}}
TAGS
#task_categories-conversational #task_categories-question-answering #task_ids-dialogue-generation #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #arxiv-1811.00207 #region-us 

Dataset Card for "empathetic\_dialogues"
========================================


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: URL
* Paper: Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset
* Point of Contact:
* Size of downloaded dataset files: 28.02 MB
* Size of the generated dataset: 25.13 MB
* Total amount of disk used: 53.15 MB


### Dataset Summary


PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### default


* Size of downloaded dataset files: 28.02 MB
* Size of the generated dataset: 25.13 MB
* Total amount of disk used: 53.15 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### default


* 'conv\_id': a 'string' feature.
* 'utterance\_idx': a 'int32' feature.
* 'context': a 'string' feature.
* 'prompt': a 'string' feature.
* 'speaker\_idx': a 'int32' feature.
* 'utterance': a 'string' feature.
* 'selfeval': a 'string' feature.
* 'tags': a 'string' feature.


### 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


Creative Commons Attribution-NonCommercial 4.0 International.


### Contributions


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



### Dataset Summary


PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset ### Supported Tasks and Leaderboards ### Languages


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


* Size of downloaded dataset files: 28.02 MB
* Size of the generated dataset: 25.13 MB
* Total amount of disk used: 53.15 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'conv\_id': a 'string' feature.
* 'utterance\_idx': a 'int32' feature.
* 'context': a 'string' feature.
* 'prompt': a 'string' feature.
* 'speaker\_idx': a 'int32' feature.
* 'utterance': a 'string' feature.
* 'selfeval': a 'string' feature.
* 'tags': a 'string' feature. ### 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


Creative Commons Attribution-NonCommercial 4.0 International. ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
TAGS
#task_categories-conversational #task_categories-question-answering #task_ids-dialogue-generation #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #arxiv-1811.00207 #region-us 
 ### Dataset Summary


PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset ### Supported Tasks and Leaderboards ### Languages


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


* Size of downloaded dataset files: 28.02 MB
* Size of the generated dataset: 25.13 MB
* Total amount of disk used: 53.15 MB


An example of 'train' looks as follows. ### Data Fields


The data fields are the same among all splits. #### default


* 'conv\_id': a 'string' feature.
* 'utterance\_idx': a 'int32' feature.
* 'context': a 'string' feature.
* 'prompt': a 'string' feature.
* 'speaker\_idx': a 'int32' feature.
* 'utterance': a 'string' feature.
* 'selfeval': a 'string' feature.
* 'tags': a 'string' feature. ### 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


Creative Commons Attribution-NonCommercial 4.0 International. ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
passage: TAGS
#task_categories-conversational #task_categories-question-answering #task_ids-dialogue-generation #task_ids-open-domain-qa #annotations_creators-crowdsourced #language_creators-crowdsourced #multilinguality-monolingual #size_categories-10K<n<100K #source_datasets-original #language-English #license-cc-by-nc-4.0 #arxiv-1811.00207 #region-us 
### Dataset Summary


PyTorch original implementation of Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset### Supported Tasks and Leaderboards### Languages


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


* Size of downloaded dataset files: 28.02 MB
* Size of the generated dataset: 25.13 MB
* Total amount of disk used: 53.15 MB


An example of 'train' looks as follows.### Data Fields


The data fields are the same among all splits.#### default


* 'conv\_id': a 'string' feature.
* 'utterance\_idx': a 'int32' feature.
* 'context': a 'string' feature.
* 'prompt': a 'string' feature.
* 'speaker\_idx': a 'int32' feature.
* 'utterance': a 'string' feature.
* 'selfeval': a 'string' feature.
* 'tags': a 'string' feature.### 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


Creative Commons Attribution-NonCommercial 4.0 International.