|
--- |
|
annotations_creators: |
|
- found |
|
language: |
|
- en |
|
language_creators: |
|
- found |
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license: mit |
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multilinguality: |
|
- monolingual |
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pretty_name: UMDC_Mi |
|
size_categories: |
|
- 10M<n<100M |
|
source_datasets: |
|
- original |
|
task_categories: |
|
- conversational |
|
- token-classification |
|
- zero-shot-classification |
|
- question-answering |
|
- text-to-speech |
|
- automatic-speech-recognition |
|
- feature-extraction |
|
- text-classification |
|
- table-question-answering |
|
- summarization |
|
- text2text-generation |
|
- voice-activity-detection |
|
- text-generation |
|
- translation |
|
- fill-mask |
|
- sentence-similarity |
|
- text-to-image |
|
task_ids: |
|
- dialogue-generation |
|
paperswithcode_id: ubuntu-dialogue-corpus |
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dataset_info: |
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- config_name: train |
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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 |
|
--- |
|
|
|
# Dataset Card for "ubuntu_dialogs_corpus" |
|
|
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## Table of Contents |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) |
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- [Languages](#languages) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Dataset Creation](#dataset-creation) |
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- [Curation Rationale](#curation-rationale) |
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- [Source Data](#source-data) |
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- [Annotations](#annotations) |
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- [Personal and Sensitive Information](#personal-and-sensitive-information) |
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- [Considerations for Using the Data](#considerations-for-using-the-data) |
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- [Social Impact of Dataset](#social-impact-of-dataset) |
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- [Discussion of Biases](#discussion-of-biases) |
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- [Other Known Limitations](#other-known-limitations) |
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- [Additional Information](#additional-information) |
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- [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 |
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- **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) |
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- **Size of downloaded dataset files:** 0.00 MB |
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- **Size of the generated dataset:** 62.46 MB |
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- **Total amount of disk used:** 62.46 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 |
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|
|
#### train |
|
|
|
- **Size of downloaded dataset files:** 0.00 MB |
|
- **Size of the generated dataset:** 62.46 MB |
|
- **Total amount of disk used:** 62.46 MB |
|
|
|
An example of 'train' looks as follows. |
|
``` |
|
This example was too long and was cropped: |
|
|
|
{ |
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"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...", |
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"Label": 1, |
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"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__" |
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} |
|
``` |
|
|
|
### Data Fields |
|
|
|
The data fields are the same among all splits. |
|
|
|
#### train |
|
- `Context`: a `string` feature. |
|
- `Utterance`: a `string` feature. |
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- `Label`: a `int32` feature. |
|
|
|
### Data Splits |
|
|
|
|name |train | |
|
|-----|-----:| |
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|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. |