microsoft/msr_zhen_translation_parity

---
annotations_creators:
- no-annotation
language_creators:
- expert-generated
- machine-generated
language:
- en
license:
- ms-pl
multilinguality:
- monolingual
- translation
size_categories:
- 1K<n<10K
source_datasets:
- extended|other-newstest2017
task_categories:
- translation
task_ids: []
paperswithcode_id: null
pretty_name: MsrZhenTranslationParity
dataset_info:
features:
- name: Reference-HT
dtype: string
- name: Reference-PE
dtype: string
- name: Combo-4
dtype: string
- name: Combo-5
dtype: string
- name: Combo-6
dtype: string
- name: Online-A-1710
dtype: string
splits:
- name: train
num_bytes: 1797033
num_examples: 2001
download_size: 0
dataset_size: 1797033
---

# Dataset Card for msr_zhen_translation_parity

## 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:**

[Translator Human Parity Data](https://msropendata.com/datasets/93f9aa87-9491-45ac-81c1-6498b6be0d0b)

- **Repository:**
- **Paper:**

[Achieving Human Parity on Automatic Chinese to English News Translation](https://www.microsoft.com/en-us/research/publication/achieving-human-parity-on-automatic-chinese-to-english-news-translation/)

- **Leaderboard:**
- **Point of Contact:**

### Dataset Summary

> Human evaluation results and translation output for the Translator Human Parity Data release,
> as described in https://blogs.microsoft.com/ai/machine-translation-news-test-set-human-parity/

> The Translator Human Parity Data release contains all human evaluation results and translations
> related to our paper "Achieving Human Parity on Automatic Chinese to English News Translation",
> published on March 14, 2018. We have released this data to

> 1) allow external validation of our claim of having achieved human parity
> 2) to foster future research by releasing two additional human references
> for the Reference-WMT test set.
>

The dataset includes:

1) two new references for Chinese-English language pair of WMT17,
one based on human translation from scratch (Reference-HT),
the other based on human post-editing (Reference-PE);

2) human parity translations generated by our research systems Combo-4, Combo-5, and Combo-6,
as well as translation output from online machine translation service Online-A-1710,
collected on October 16, 2017;

The data package provided with the study also includes (but not parsed and provided as
workable features of this dataset) all data points collected in human evaluation campaigns.

### Supported Tasks and Leaderboards

[More Information Needed]

### Languages

This dataset contains 6 extra English translations to Chinese-English language pair of WMT17.

## Dataset Structure

### Data Instances

[More Information Needed]

### Data Fields

As mentioned in the summary, this dataset provides 6 extra English translations of
Chinese-English language pair of WMT17.

Data fields are named exactly like the associated paper for easier cross-referenceing.

- `Reference-HT`: human translation from scrach.
- `Reference-PE`: human post-editing.
- `Combo-4`, `Combo-5`, `Combo-6`: three translations by research systems.
- `Online-A-1710`: a translation from an anonymous online machine translation service.

All data fields of a record are translations for the same Chinese source sentence.

### Data Splits

[More Information Needed]

## 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

[More Information Needed]

### Citation Information

Citation information is available at this link [Achieving Human Parity on Automatic Chinese to English News Translation](https://www.microsoft.com/en-us/research/publication/achieving-human-parity-on-automatic-chinese-to-english-news-translation/)

### Contributions

Thanks to [@leoxzhao](https://github.com/leoxzhao) for adding this dataset.

原始信息汇总

数据集概述

数据集描述

数据集摘要

• 数据集名称: MsrZhenTranslationParity
• 数据集内容: 包含人类评估结果和翻译输出，用于验证“Achieving Human Parity on Automatic Chinese to English News Translation”论文中的人类对等性声明。数据集提供两种新的参考翻译：基于从头开始的人工翻译（Reference-HT）和基于人工后编辑的翻译（Reference-PE），以及其他由研究系统生成的翻译（Combo-4, Combo-5, Combo-6）和在线机器翻译服务输出（Online-A-1710）。

支持的任务和排行榜

• 任务: 翻译
• 排行榜: 未提供

语言

• 语言: 英语
• 多语言性: 单语和翻译

数据集结构

数据实例

• 实例描述: 未提供详细信息

数据字段

• 字段名称: Reference-HT, Reference-PE, Combo-4, Combo-5, Combo-6, Online-A-1710
• 字段类型: 字符串
• 字段描述: 每个字段代表对同一中文源句的不同翻译版本

数据分割

• 训练集: 2001个实例，总字节数1797033
• 下载大小: 0
• 数据集大小: 1797033字节

数据集创建

来源数据

• 源数据集: 扩展自newstest2017
• 语言创建者: 专家生成和机器生成

许可证

• 许可证: MS-PL

贡献者

• 贡献者: @leoxzhao

引用信息

• 引用信息: 可参考论文“Achieving Human Parity on Automatic Chinese to English News Translation”