--- 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", } ```