
# Dataset Card for "ubuntu_dialogs_corpus"

## 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

- **Repository:** https://github.com/rkadlec/ubuntu-ranking-dataset-creator
- **Paper:** [The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems](https://arxiv.org/abs/1506.08909)
- **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:** 0.00 MB
- **Size of the generated dataset:** 65.49 MB
- **Total amount of disk used:** 65.49 MB

### Dataset Summary

Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.

### 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

#### train

- **Size of downloaded dataset files:** 0.00 MB
- **Size of the generated dataset:** 65.49 MB
- **Total amount of disk used:** 65.49 MB

An example of 'train' looks as follows.
```
This example was too long and was cropped:

{
    "Context": "\"i think we could import the old comment via rsync , but from there we need to go via email . i think it be easier than cach the...",
    "Label": 1,
    "Utterance": "basic each xfree86 upload will not forc user to upgrad 100mb of font for noth __eou__ no someth i do in my spare time . __eou__"
}
```

### Data Fields

The data fields are the same among all splits.

#### train
- `Context`: a `string` feature.
- `Utterance`: a `string` feature.
- `Label`: a `int32` feature.

### Data Splits

|name |train |
|-----|-----:|
|train|127422|

## 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

```
@article{DBLP:journals/corr/LowePSP15,
  author    = {Ryan Lowe and
               Nissan Pow and
               Iulian Serban and
               Joelle Pineau},
  title     = {The Ubuntu Dialogue Corpus: {A} Large Dataset for Research in Unstructured
               Multi-Turn Dialogue Systems},
  journal   = {CoRR},
  volume    = {abs/1506.08909},
  year      = {2015},
  url       = {http://arxiv.org/abs/1506.08909},
  archivePrefix = {arXiv},
  eprint    = {1506.08909},
  timestamp = {Mon, 13 Aug 2018 16:48:23 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/LowePSP15.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```


### 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_ids:dialogue-generation annotations_creators:found language_creators:found multilinguality:monolingual size_categories:1M<n<10M source_datasets:original language:en license:unknown arxiv:1506.08909 region:us
{"annotations_creators": ["found"], "language_creators": ["found"], "language": ["en"], "license": ["unknown"], "multilinguality": ["monolingual"], "size_categories": ["1M<n<10M"], "source_datasets": ["original"], "task_categories": ["conversational"], "task_ids": ["dialogue-generation"], "paperswithcode_id": "ubuntu-dialogue-corpus", "pretty_name": "UDC (Ubuntu Dialogue Corpus)", "dataset_info": [{"config_name": "train", "features": [{"name": "Context", "dtype": "string"}, {"name": "Utterance", "dtype": "string"}, {"name": "Label", "dtype": "int32"}], "splits": [{"name": "train", "num_bytes": 525126729, "num_examples": 1000000}], "download_size": 0, "dataset_size": 525126729}, {"config_name": "dev_test", "features": [{"name": "Context", "dtype": "string"}, {"name": "Ground Truth Utterance", "dtype": "string"}, {"name": "Distractor_0", "dtype": "string"}, {"name": "Distractor_1", "dtype": "string"}, {"name": "Distractor_2", "dtype": "string"}, {"name": "Distractor_3", "dtype": "string"}, {"name": "Distractor_4", "dtype": "string"}, {"name": "Distractor_5", "dtype": "string"}, {"name": "Distractor_6", "dtype": "string"}, {"name": "Distractor_7", "dtype": "string"}, {"name": "Distractor_8", "dtype": "string"}], "splits": [{"name": "test", "num_bytes": 27060502, "num_examples": 18920}, {"name": "validation", "num_bytes": 27663181, "num_examples": 19560}], "download_size": 0, "dataset_size": 54723683}]}
TAGS
#task_categories-conversational #task_ids-dialogue-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-unknown #arxiv-1506.08909 #region-us 

Dataset Card for "ubuntu\_dialogs\_corpus"
==========================================


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
-------------------


* Repository: URL
* Paper: The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
* Point of Contact:
* Size of downloaded dataset files: 0.00 MB
* Size of the generated dataset: 65.49 MB
* Total amount of disk used: 65.49 MB


### Dataset Summary


Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter.


### Supported Tasks and Leaderboards


### Languages


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


### Data Instances


#### train


* Size of downloaded dataset files: 0.00 MB
* Size of the generated dataset: 65.49 MB
* Total amount of disk used: 65.49 MB


An example of 'train' looks as follows.


### Data Fields


The data fields are the same among all splits.


#### train


* 'Context': a 'string' feature.
* 'Utterance': a 'string' feature.
* 'Label': a 'int32' 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


### Contributions


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



### Dataset Summary


Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter. ### Supported Tasks and Leaderboards ### Languages


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


* Size of downloaded dataset files: 0.00 MB
* Size of the generated dataset: 65.49 MB
* Total amount of disk used: 65.49 MB


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


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


* 'Context': a 'string' feature.
* 'Utterance': a 'string' feature.
* 'Label': a 'int32' 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 ### Contributions


Thanks to @thomwolf, @patrickvonplaten, @lewtun for adding this dataset.
TAGS
#task_categories-conversational #task_ids-dialogue-generation #annotations_creators-found #language_creators-found #multilinguality-monolingual #size_categories-1M<n<10M #source_datasets-original #language-English #license-unknown #arxiv-1506.08909 #region-us 
 ### Dataset Summary


Ubuntu Dialogue Corpus, a dataset containing almost 1 million multi-turn dialogues, with a total of over 7 million utterances and 100 million words. This provides a unique resource for research into building dialogue managers based on neural language models that can make use of large amounts of unlabeled data. The dataset has both the multi-turn property of conversations in the Dialog State Tracking Challenge datasets, and the unstructured nature of interactions from microblog services such as Twitter. ### Supported Tasks and Leaderboards ### Languages


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


* Size of downloaded dataset files: 0.00 MB
* Size of the generated dataset: 65.49 MB
* Total amount of disk used: 65.49 MB


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


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


* 'Context': a 'string' feature.
* 'Utterance': a 'string' feature.
* 'Label': a 'int32' 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 ### Contributions


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