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---
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",
}
``` |