Datasets:

mteb
/

NTREX

	---
	annotations_creators:
	- expert-generated
	language_creators:
	- expert-generated
	language:
	- af
	- am
	- ar
	- az
	- ba
	- be
	- bg
	- bn
	- bo
	- bs
	- ca
	- cs
	- cy
	- da
	- de
	- dv
	- dz
	- ee
	- el
	- et
	- eu
	- fa
	- fa
	- fi
	- fil
	- fj
	- fj
	- fo
	- fr
	- gd
	- gu
	- ha
	- he
	- hi
	- hmn
	- hr
	- hu
	- hy
	- id
	- ig
	- is
	- it
	- ja
	- kk
	- km
	- kn
	- ko
	- ku
	- ku
	- ky
	- lb
	- lo
	- lt
	- lv
	- mi
	- mk
	- mn
	- mr
	- ms
	- ms
	- mt
	- my
	- nb
	- nd
	- ne
	- nl
	- nn
	- ny
	- om
	- oy
	- pa
	- ps
	- pt
	- ro
	- ru
	- rw
	- sd
	- sh
	- shi
	- si
	- sk
	- sl
	- sm
	- sn
	- so
	- sq
	- sr
	- ss
	- st
	- sv
	- sw
	- ta
	- te
	- tg
	- th
	- tk
	- tn
	- to
	- tr
	- tt
	- ty
	- uk
	- ur
	- uz
	- ve
	- vi
	- wo
	- xh
	- yo
	- zh
	- zh
	- zu
	license:
	- cc-by-sa-4.0
	multilinguality:
	- translation
	task_categories:
	- translation
	size_categories:
	- "1997"
	configs:
	- config_name: default
	data_files:
	- split: test
	path: test.parquet
	---
	## Dataset Description

	NTREX -- News Test References for MT Evaluation from English into a total of 128 target languages. See [original GitHub repo](https://github.com/MicrosoftTranslator/NTREX/tree/main) for full details.

	Example of loading:
	```python
	dataset = load_dataset("davidstap/NTREX", "rus_Cyrl", trust_remote_code=True)
	```

	## Languages

	The following languages are available:

	\| Language Code \| Language Name \|
	\|-----------------\|-----------------------------\|
	\| `afr_Latn` \| Afrikaans \|
	\| `amh_Ethi` \| Amharic \|
	\| `arb_Arab` \| Arabic \|
	\| `aze_Latn` \| Azerbaijani \|
	\| `bak_Cyrl` \| Bashkir \|
	\| `bel_Cyrl` \| Belarusian \|
	\| `bem_Latn` \| Bemba \|
	\| `ben_Beng` \| Bengali \|
	\| `bod_Tibt` \| Tibetan \|
	\| `bos_Latn` \| Bosnian \|
	\| `bul_Cyrl` \| Bulgarian \|
	\| `cat_Latn` \| Catalan \|
	\| `ces_Latn` \| Czech \|
	\| `ckb_Arab` \| Sorani Kurdish \|
	\| `cym_Latn` \| Welsh \|
	\| `dan_Latn` \| Danish \|
	\| `deu_Latn` \| German \|
	\| `div_Thaa` \| Dhivehi \|
	\| `dzo_Tibt` \| Dzongkha \|
	\| `ell_Grek` \| Greek \|
	\| `eng-GB_Latn` \| English (Great Britain) \|
	\| `eng-IN_Latn` \| English (India) \|
	\| `eng-US_Latn` \| English (United States) \|
	\| `eng_Latn` \| English \|
	\| `est_Latn` \| Estonian \|
	\| `eus_Latn` \| Basque \|
	\| `ewe_Latn` \| Ewe \|
	\| `fao_Latn` \| Faroese \|
	\| `fas_Arab` \| Persian \|
	\| `fij_Latn` \| Fijian \|
	\| `fil_Latn` \| Filipino \|
	\| `fin_Latn` \| Finnish \|
	\| `fra-CA_Latn` \| French (Canada) \|
	\| `fra_Latn` \| French \|
	\| `fuc_Latn` \| Pulaar \|
	\| `gle_Latn` \| Irish \|
	\| `glg_Latn` \| Galician \|
	\| `guj_Gujr` \| Gujarati \|
	\| `hau_Latn` \| Hausa \|
	\| `heb_Hebr` \| Hebrew \|
	\| `hin_Deva` \| Hindi \|
	\| `hmn_Latn` \| Hmong \|
	\| `hrv_Latn` \| Croatian \|
	\| `hun_Latn` \| Hungarian \|
	\| `hye_Armn` \| Armenian \|
	\| `ibo_Latn` \| Igbo \|
	\| `ind_Latn` \| Indonesian \|
	\| `isl_Latn` \| Icelandic \|
	\| `ita_Latn` \| Italian \|
	\| `jpn_Jpan` \| Japanese \|
	\| `kan_Knda` \| Kannada \|
	\| `kat_Geor` \| Georgian \|
	\| `kaz_Cyrl` \| Kazakh \|
	\| `khm_Khmr` \| Khmer \|
	\| `kin_Latn` \| Kinyarwanda \|
	\| `kir_Cyrl` \| Kyrgyz \|
	\| `kmr_Latn` \| Northern Kurdish \|
	\| `kor_Hang` \| Korean \|
	\| `lao_Laoo` \| Lao \|
	\| `lav_Latn` \| Latvian \|
	\| `lit_Latn` \| Lithuanian \|
	\| `ltz_Latn` \| Luxembourgish \|
	\| `mal_Mlym` \| Malayalam \|
	\| `mar_Deva` \| Marathi \|
	\| `mey_Arab` \| Hassaniya Arabic \|
	\| `mkd_Cyrl` \| Macedonian \|
	\| `mlg_Latn` \| Malagasy \|
	\| `mlt_Latn` \| Maltese \|
	\| `mon_Mong` \| Mongolian \|
	\| `mri_Latn` \| Maori \|
	\| `msa_Latn` \| Malay \|
	\| `mya_Mymr` \| Burmese \|
	\| `nde_Latn` \| Ndebele \|
	\| `nep_Deva` \| Nepali \|
	\| `nld_Latn` \| Dutch \|
	\| `nno_Latn` \| Norwegian Nynorsk \|
	\| `nob_Latn` \| Norwegian Bokmål \|
	\| `nso_Latn` \| Northern Sotho \|
	\| `nya_Latn` \| Chichewa \|
	\| `orm_Ethi` \| Oromo \|
	\| `pan_Guru` \| Punjabi (Gurmukhi) \|
	\| `pol_Latn` \| Polish \|
	\| `por-BR_Latn` \| Portuguese (Brazil) \|
	\| `por_Latn` \| Portuguese \|
	\| `prs_Arab` \| Dari \|
	\| `pus_Arab` \| Pashto \|
	\| `ron_Latn` \| Romanian \|
	\| `rus_Cyrl` \| Russian \|
	\| `shi_Arab` \| Tachelhit \|
	\| `sin_Sinh` \| Sinhala \|
	\| `slk_Latn` \| Slovak \|
	\| `slv_Latn` \| Slovenian \|
	\| `smo_Latn` \| Samoan \|
	\| `sna_Latn` \| Shona \|
	\| `snd_Arab` \| Sindhi \|
	\| `som_Latn` \| Somali \|
	\| `spa-MX_Latn` \| Spanish (Mexico) \|
	\| `spa_Latn` \| Spanish \|
	\| `sqi_Latn` \| Albanian \|
	\| `srp_Cyrl` \| Serbian (Cyrillic) \|
	\| `srp_Latn` \| Serbian (Latin) \|
	\| `ssw_Latn` \| Swati \|
	\| `swa_Latn` \| Swahili \|
	\| `swe_Latn` \| Swedish \|
	\| `tah_Latn` \| Tahitian \|
	\| `tam_Taml` \| Tamil \|
	\| `tat_Cyrl` \| Tatar \|
	\| `tel_Telu` \| Telugu \|
	\| `tgk_Cyrl` \| Tajik \|
	\| `tha_Thai` \| Thai \|
	\| `tir_Ethi` \| Tigrinya \|
	\| `ton_Latn` \| Tongan \|
	\| `tsn_Latn` \| Tswana \|
	\| `tuk_Latn` \| Turkmen \|
	\| `tur_Latn` \| Turkish \|
	\| `uig_Arab` \| Uighur \|
	\| `ukr_Cyrl` \| Ukrainian \|
	\| `urd_Arab` \| Urdu \|
	\| `uzb_Latn` \| Uzbek \|
	\| `ven_Latn` \| Venda \|
	\| `vie_Latn` \| Vietnamese \|
	\| `wol_Latn` \| Wolof \|
	\| `xho_Latn` \| Xhosa \|
	\| `yor_Latn` \| Yoruba \|
	\| `yue_Hant` \| Cantonese \|
	\| `zho_Hans` \| Chinese (Simplified) \|
	\| `zho_Hant` \| Chinese (Traditional) \|
	\| `zul_Latn` \| Zulu \|


	### Citation Information
	For the original NTREX-128 dataset, please cite:

	```
	@inproceedings{federmann-etal-2022-ntrex,
	title = "{NTREX}-128 {--} News Test References for {MT} Evaluation of 128 Languages",
	author = "Federmann, Christian and Kocmi, Tom and Xin, Ying",
	booktitle = "Proceedings of the First Workshop on Scaling Up Multilingual Evaluation",
	month = "nov",
	year = "2022",
	address = "Online",
	publisher = "Association for Computational Linguistics",
	url = "https://aclanthology.org/2022.sumeval-1.4",
	pages = "21--24",
	}
	```

	as well as the WMT 2019 paper that provided the English source data NTREX-128 is based on:

	```
	@inproceedings{barrault-etal-2019-findings,
	title = "Findings of the 2019 Conference on Machine Translation ({WMT}19)",
	author = {Barrault, Lo{\"\i}c and
	Bojar, Ond{\v{r}}ej and
	Costa-juss{\`a}, Marta R. and
	Federmann, Christian and
	Fishel, Mark and
	Graham, Yvette and
	Haddow, Barry and
	Huck, Matthias and
	Koehn, Philipp and
	Malmasi, Shervin and
	Monz, Christof and
	M{\"u}ller, Mathias and
	Pal, Santanu and
	Post, Matt and
	Zampieri, Marcos},
	editor = "Bojar, Ond{\v{r}}ej and
	Chatterjee, Rajen and
	Federmann, Christian and
	Fishel, Mark and
	Graham, Yvette and
	Haddow, Barry and
	Huck, Matthias and
	Yepes, Antonio Jimeno and
	Koehn, Philipp and
	Martins, Andr{\'e} and
	Monz, Christof and
	Negri, Matteo and
	N{\'e}v{\'e}ol, Aur{\'e}lie and
	Neves, Mariana and
	Post, Matt and
	Turchi, Marco and
	Verspoor, Karin",
	booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
	month = aug,
	year = "2019",
	address = "Florence, Italy",
	publisher = "Association for Computational Linguistics",
	url = "https://aclanthology.org/W19-5301",
	doi = "10.18653/v1/W19-5301",
	pages = "1--61",
	}
	```