Datasets:
Tasks:
Translation
Multilinguality:
translation
Size Categories:
10K<n<100K
Language Creators:
expert-generated
Annotations Creators:
expert-generated
Source Datasets:
original
License:
annotations_creators: | |
- expert-generated | |
language_creators: | |
- expert-generated | |
languages: | |
- en | |
- ja | |
licenses: | |
- cc-by-nc-sa-4-0 | |
multilinguality: | |
- translation | |
size_categories: | |
- 10K<n<100K | |
source_datasets: | |
- original | |
task_categories: | |
- conditional-text-generation | |
task_ids: | |
- machine-translation | |
# Dataset Card for Business Scene Dialogue | |
## Table of Contents | |
- [Dataset Description](#dataset-description) | |
- [Dataset Summary](#dataset-summary) | |
- [Supported Tasks](#supported-tasks-and-leaderboards) | |
- [Languages](#languages) | |
- [Dataset Structure](#dataset-structure) | |
- [Data Instances](#data-instances) | |
- [Data Fields](#data-instances) | |
- [Data Splits](#data-instances) | |
- [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) | |
## Dataset Description | |
- **Homepage:** [Github](https://raw.githubusercontent.com/tsuruoka-lab/BSD/) | |
- **Repository:** [Github](https://raw.githubusercontent.com/tsuruoka-lab/BSD/) | |
- **Paper:** [Rikters et al., 2019](https://www.aclweb.org/anthology/D19-5204) | |
- **Leaderboard:** | |
- **Point of Contact:** Matīss Rikters | |
### Dataset Summary | |
This is the Business Scene Dialogue (BSD) dataset, | |
a Japanese-English parallel corpus containing written conversations | |
in various business scenarios. | |
The dataset was constructed in 3 steps: | |
1) selecting business scenes, | |
2) writing monolingual conversation scenarios according to the selected scenes, and | |
3) translating the scenarios into the other language. | |
Half of the monolingual scenarios were written in Japanese | |
and the other half were written in English. | |
### Supported Tasks and Leaderboards | |
[More Information Needed] | |
### Languages | |
English, Japanese. | |
## Dataset Structure | |
### Data Instances | |
Each instance contains a conversation identifier, a sentence number that indicates its | |
position within the conversation, speaker name in English and Japanese, | |
text in English and Japanese, original language, scene of the scenario (tag), | |
and title of the scenario (title). | |
```python | |
{ | |
"id": "190315_E004_13", | |
"no": 14, | |
"speaker": "Mr. Sam Lee", | |
"ja_speaker": "サム リーさん", | |
"en_sentence": "Would you guys consider a different scheme?", | |
"ja_sentence": "別の事業案も考慮されますか?", | |
"original_language": "en", | |
"tag": "phone call", | |
"title": "Phone: Review spec and scheme" | |
} | |
``` | |
### Data Fields | |
- id: dialogue identifier | |
- no: sentence pair number within a dialogue | |
- en_speaker: speaker name in English | |
- ja_speaker: speaker name in Japanese | |
- en_sentence: sentence in English | |
- ja_sentence: sentence in Japanese | |
- original_language: language in which monolingual scenario was written | |
- tag: scenario | |
- title: scenario title | |
### Data Splits | |
- There are a total of 24171 sentences / 808 business scenarios. | |
- Train: 20000 sentences / 670 scenarios | |
- Dev: 2051 sentences / 69 scenarios | |
- Test: 2120 sentences / 69 scenarios | |
## Dataset Creation | |
### Curation Rationale | |
[More Information Needed] | |
### Source Data | |
#### Initial Data Collection and Normalization | |
[More Information Needed] | |
#### Who are the source language producers? | |
[More Information Needed] | |
### Annotations | |
#### Annotation process | |
[More Information Needed] | |
#### Who are the annotators? | |
[More Information Needed] | |
### Personal and Sensitive Information | |
[More Information Needed] | |
## Considerations for Using the Data | |
### Social Impact of Dataset | |
[More Information Needed] | |
### Discussion of Biases | |
[More Information Needed] | |
### Other Known Limitations | |
[More Information Needed] | |
## Additional Information | |
### Dataset Curators | |
[More Information Needed] | |
### Licensing Information | |
This dataset was released under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) license. | |
### Citation Information | |
``` | |
@inproceedings{rikters-etal-2019-designing, | |
title = "Designing the Business Conversation Corpus", | |
author = "Rikters, Mat{\=\i}ss and | |
Ri, Ryokan and | |
Li, Tong and | |
Nakazawa, Toshiaki", | |
booktitle = "Proceedings of the 6th Workshop on Asian Translation", | |
month = nov, | |
year = "2019", | |
address = "Hong Kong, China", | |
publisher = "Association for Computational Linguistics", | |
url = "https://www.aclweb.org/anthology/D19-5204", | |
doi = "10.18653/v1/D19-5204", | |
pages = "54--61" | |
} | |
``` |