Datasets:
annotations_creators:
- crowdsourced
language_creators:
- found
languages:
az-ba:
- az
- ba
az-en:
- az
- en
az-kaa:
- az
- kaa
az-kk:
- az
- kk
az-ky:
- az
- ky
az-ru:
- az
- ru
az-sah:
- az
- sah
az-tr:
- az
- tr
az-uz:
- az
- uz
ba-az:
- ba
- az
ba-en:
- ba
- en
ba-kaa:
- ba
- kaa
ba-kk:
- ba
- kk
ba-ky:
- ba
- ky
ba-ru:
- ba
- ru
ba-sah:
- ba
- sah
ba-tr:
- ba
- tr
ba-uz:
- ba
- uz
en-az:
- en
- az
en-ba:
- en
- ba
en-kaa:
- en
- kaa
en-kk:
- en
- kk
en-ky:
- en
- ky
en-ru:
- en
- ru
en-sah:
- en
- sah
en-tr:
- en
- tr
en-uz:
- en
- uz
kaa-az:
- kaa
- az
kaa-ba:
- kaa
- ba
kaa-en:
- kaa
- en
kaa-kk:
- kaa
- kk
kaa-ky:
- kaa
- ky
kaa-ru:
- kaa
- ru
kaa-sah:
- kaa
- sah
kaa-tr:
- kaa
- tr
kaa-uz:
- kaa
- uz
kk-az:
- kk
- az
kk-ba:
- kk
- ba
kk-en:
- kk
- en
kk-kaa:
- kk
- kaa
kk-ky:
- kk
- ky
kk-ru:
- kk
- ru
kk-sah:
- kk
- sah
kk-tr:
- kk
- tr
kk-uz:
- kk
- uz
ky-az:
- ky
- az
ky-ba:
- ky
- ba
ky-en:
- ky
- en
ky-kaa:
- ky
- kaa
ky-kk:
- ky
- kk
ky-ru:
- ky
- ru
ky-sah:
- ky
- sah
ky-tr:
- ky
- tr
ky-uz:
- ky
- uz
ru-az:
- ru
- az
ru-ba:
- ru
- ba
ru-en:
- ru
- en
ru-kaa:
- ru
- kaa
ru-kk:
- ru
- kk
ru-ky:
- ru
- ky
ru-sah:
- ru
- sah
ru-tr:
- ru
- tr
ru-uz:
- ru
- uz
sah-az:
- sah
- az
sah-ba:
- sah
- ba
sah-en:
- sah
- en
sah-kaa:
- sah
- kaa
sah-kk:
- sah
- kk
sah-ky:
- sah
- ky
sah-ru:
- sah
- ru
sah-tr:
- sah
- tr
sah-uz:
- sah
- uz
tr-az:
- tr
- az
tr-ba:
- tr
- ba
tr-en:
- tr
- en
tr-kaa:
- tr
- kaa
tr-kk:
- tr
- kk
tr-ky:
- tr
- ky
tr-ru:
- tr
- ru
tr-sah:
- tr
- sah
tr-uz:
- tr
- uz
uz-az:
- uz
- az
uz-ba:
- uz
- ba
uz-en:
- uz
- en
uz-kaa:
- uz
- kaa
uz-kk:
- uz
- kk
uz-ky:
- uz
- ky
uz-ru:
- uz
- ru
uz-sah:
- uz
- sah
uz-tr:
- uz
- tr
licenses:
- mit
multilinguality:
- translation
pretty_name: turkic_xwmt
size_categories:
- n<1K
task_categories:
- conditional-text-generation
task_ids:
- machine-translation
source_datasets:
- extended|WMT 2020 News Translation Task
Dataset Card for turkic_xwmt
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage:
- Repository:Github
- Paper: https://arxiv.org/abs/2109.04593
- Leaderboard: [More Information Needed]
- Point of Contact: turkicinterlingua@gmail.com
Dataset Summary
To establish a comprehensive and challenging evaluation benchmark for Machine Translation in Turkic languages, we translate a test set originally introduced in WMT 2020 News Translation Task for English-Russian. The original dataset is profesionally translated and consists of sentences from news articles that are both English and Russian-centric. We adopt this evaluation set (X-WMT) and begin efforts to translate it into several Turkic languages. The current version of X-WMT includes covers 8 Turkic languages and 88 language directions with a minimum of 300 sentences per language direction.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
Currently covered languages are (besides English and Russian):
- Azerbaijani (az)
- Bashkir (ba)
- Karakalpak (kaa)
- Kazakh (kk)
- Kirghiz (ky)
- Turkish (tr)
- Sakha (sah)
- Uzbek (uz)
Dataset Structure
Data Instances
A random example from the Russian-Uzbek set:
{"translation": {'ru': 'Моника Мутсвангва , министр информации Зимбабве , утверждает , что полиция вмешалась в отъезд Магомбейи из соображений безопасности и вследствие состояния его здоровья .', 'uz': 'Zimbabvening Axborot vaziri , Monika Mutsvanva Magombeyining xavfsizligi va sog'ligi tufayli bo'lgan jo'nab ketishinida politsiya aralashuvini ushlab turadi .'}}
Data Fields
Each example has one field "translation" that contains two subfields: one per language, e.g. for the Russian-Uzbek set:
- translation: a dictionary with two subfields:
- ru: the russian text
- uz: the uzbek text
Data Splits
Click here to show the number of examples per configuration:
| | test | |:--------|-------:| | az-ba | 600 | | az-en | 600 | | az-kaa | 300 | | az-kk | 500 | | az-ky | 500 | | az-ru | 600 | | az-sah | 300 | | az-tr | 500 | | az-uz | 600 | | ba-az | 600 | | ba-en | 1000 | | ba-kaa | 300 | | ba-kk | 700 | | ba-ky | 500 | | ba-ru | 1000 | | ba-sah | 300 | | ba-tr | 700 | | ba-uz | 900 | | en-az | 600 | | en-ba | 1000 | | en-kaa | 300 | | en-kk | 700 | | en-ky | 500 | | en-ru | 1000 | | en-sah | 300 | | en-tr | 700 | | en-uz | 900 | | kaa-az | 300 | | kaa-ba | 300 | | kaa-en | 300 | | kaa-kk | 300 | | kaa-ky | 300 | | kaa-ru | 300 | | kaa-sah | 300 | | kaa-tr | 300 | | kaa-uz | 300 | | kk-az | 500 | | kk-ba | 700 | | kk-en | 700 | | kk-kaa | 300 | | kk-ky | 500 | | kk-ru | 700 | | kk-sah | 300 | | kk-tr | 500 | | kk-uz | 700 | | ky-az | 500 | | ky-ba | 500 | | ky-en | 500 | | ky-kaa | 300 | | ky-kk | 500 | | ky-ru | 500 | | ky-sah | 300 | | ky-tr | 400 | | ky-uz | 500 | | ru-az | 600 | | ru-ba | 1000 | | ru-en | 1000 | | ru-kaa | 300 | | ru-kk | 700 | | ru-ky | 500 | | ru-sah | 300 | | ru-tr | 700 | | ru-uz | 900 | | sah-az | 300 | | sah-ba | 300 | | sah-en | 300 | | sah-kaa | 300 | | sah-kk | 300 | | sah-ky | 300 | | sah-ru | 300 | | sah-tr | 300 | | sah-uz | 300 | | tr-az | 500 | | tr-ba | 700 | | tr-en | 700 | | tr-kaa | 300 | | tr-kk | 500 | | tr-ky | 400 | | tr-ru | 700 | | tr-sah | 300 | | tr-uz | 600 | | uz-az | 600 | | uz-ba | 900 | | uz-en | 900 | | uz-kaa | 300 | | uz-kk | 700 | | uz-ky | 500 | | uz-ru | 900 | | uz-sah | 300 | | uz-tr | 600 |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?
Translators, annotators and dataset contributors (in alphabetical order)
Abilxayr Zholdybai
Aigiz Kunafin
Akylbek Khamitov
Alperen Cantez
Aydos Muxammadiyarov
Doniyorbek Rafikjonov
Erkinbek Vokhabov
Ipek Baris
Iskander Shakirov
Madina Zokirjonova
Mohiyaxon Uzoqova
Mukhammadbektosh Khaydarov
Nurlan Maharramli
Petr Popov
Rasul Karimov
Sariya Kagarmanova
Ziyodabonu Qobiljon qizi
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
Citation Information
@inproceedings{mirzakhalov2021large,
title={A Large-Scale Study of Machine Translation in Turkic Languages},
author={Mirzakhalov, Jamshidbek and Babu, Anoop and Ataman, Duygu and Kariev, Sherzod and Tyers, Francis and Abduraufov, Otabek and Hajili, Mammad and Ivanova, Sardana and Khaytbaev, Abror and Laverghetta Jr, Antonio and others},
booktitle={Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing},
pages={5876--5890},
year={2021}
}
Contributions
This project was carried out with the help and contributions from dozens of individuals and organizations. We acknowledge and greatly appreciate each and every one of them:
Authors on the publications (in alphabetical order)
Abror Khaytbaev
Ahsan Wahab
Aigiz Kunafin
Anoop Babu
Antonio Laverghetta Jr.
Behzodbek Moydinboyev
Dr. Duygu Ataman
Esra Onal
Dr. Francis Tyers
Jamshidbek Mirzakhalov
Dr. John Licato
Dr. Julia Kreutzer
Mammad Hajili
Mokhiyakhon Uzokova
Dr. Orhan Firat
Otabek Abduraufov
Sardana Ivanova
Shaxnoza Pulatova
Sherzod Kariev
Dr. Sriram Chellappan
Translators, annotators and dataset contributors (in alphabetical order)
Abilxayr Zholdybai
Aigiz Kunafin
Akylbek Khamitov
Alperen Cantez
Aydos Muxammadiyarov
Doniyorbek Rafikjonov
Erkinbek Vokhabov
Ipek Baris
Iskander Shakirov
Madina Zokirjonova
Mohiyaxon Uzoqova
Mukhammadbektosh Khaydarov
Nurlan Maharramli
Petr Popov
Rasul Karimov
Sariya Kagarmanova
Ziyodabonu Qobiljon qizi
Industry supporters
Google Cloud
Khan Academy Oʻzbek
The Foundation for the Preservation and Development of the Bashkir Language
Thanks to @mirzakhalov for adding this dataset.