Hugging Face's logo

Datasets:
davidstap
/
NTREX

Tasks:
Translation
Modalities:
Text
Formats:
text
Languages:
Afrikaans
Amharic
Arabic
Size:
100K - 1M
Libraries:
Datasets
License:
Dataset card Data Studio Files
xet
Community
1
davidstap commited on
Commit
7f5f84f
·
1 Parent(s): 4973137

update README

Browse files
Files changed (1) hide show
  1. README.md +212 -3
README.md CHANGED
@@ -116,8 +116,8 @@ language:
116
  - zh
117
  - zh
118
  - zu
119
- # license:
120
- # - cc-by-nc-nd-4.0
121
  multilinguality:
122
  - translation
123
  task_categories:
@@ -637,4 +637,213 @@ configs:
637
  data_files:
638
  - split: test
639
  path: data/zul_Latn/newstest2019-ref.zul.txt
640
- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
116
  - zh
117
  - zh
118
  - zu
119
+ license:
120
+ - "CC BY-SA 4.0"
121
  multilinguality:
122
  - translation
123
  task_categories:
 
637
  data_files:
638
  - split: test
639
  path: data/zul_Latn/newstest2019-ref.zul.txt
640
+ ---
641
+ ## Dataset Description
642
+
643
+ 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.
644
+
645
+ Example of loading:
646
+ ```python
647
+ dataset = load_dataset("davidstap/NTREX", "rus_Cyrl", trust_remote_code=True)
648
+ ```
649
+
650
+ ## Languages
651
+
652
+ The following languages are available:
653
+
654
+ | Language Code | Language Name |
655
+ |---------------|-----------------------------|
656
+ | afr_Latn | Afrikaans |
657
+ | amh_Ethi | Amharic |
658
+ | arb_Arab | Arabic |
659
+ | aze_Latn | Azerbaijani |
660
+ | bak_Cyrl | Bashkir |
661
+ | bel_Cyrl | Belarusian |
662
+ | bem_Latn | Bemba |
663
+ | ben_Beng | Bengali |
664
+ | bod_Tibt | Tibetan |
665
+ | bos_Latn | Bosnian |
666
+ | bul_Cyrl | Bulgarian |
667
+ | cat_Latn | Catalan |
668
+ | ces_Latn | Czech |
669
+ | ckb_Arab | Sorani Kurdish |
670
+ | cym_Latn | Welsh |
671
+ | dan_Latn | Danish |
672
+ | deu_Latn | German |
673
+ | div_Thaa | Dhivehi |
674
+ | dzo_Tibt | Dzongkha |
675
+ | ell_Grek | Greek |
676
+ | eng-GB_Latn | English (Great Britain) |
677
+ | eng-IN_Latn | English (India) |
678
+ | eng-US_Latn | English (United States) |
679
+ | eng_Latn | English |
680
+ | est_Latn | Estonian |
681
+ | eus_Latn | Basque |
682
+ | ewe_Latn | Ewe |
683
+ | fao_Latn | Faroese |
684
+ | fas_Arab | Persian |
685
+ | fij_Latn | Fijian |
686
+ | fil_Latn | Filipino |
687
+ | fin_Latn | Finnish |
688
+ | fra-CA_Latn | French (Canada) |
689
+ | fra_Latn | French |
690
+ | fuc_Latn | Pulaar |
691
+ | gle_Latn | Irish |
692
+ | glg_Latn | Galician |
693
+ | guj_Gujr | Gujarati |
694
+ | hau_Latn | Hausa |
695
+ | heb_Hebr | Hebrew |
696
+ | hin_Deva | Hindi |
697
+ | hmn_Latn | Hmong |
698
+ | hrv_Latn | Croatian |
699
+ | hun_Latn | Hungarian |
700
+ | hye_Armn | Armenian |
701
+ | ibo_Latn | Igbo |
702
+ | ind_Latn | Indonesian |
703
+ | isl_Latn | Icelandic |
704
+ | ita_Latn | Italian |
705
+ | jpn_Jpan | Japanese |
706
+ | kan_Knda | Kannada |
707
+ | kat_Geor | Georgian |
708
+ | kaz_Cyrl | Kazakh |
709
+ | khm_Khmr | Khmer |
710
+ | kin_Latn | Kinyarwanda |
711
+ | kir_Cyrl | Kyrgyz |
712
+ | kmr_Latn | Northern Kurdish |
713
+ | kor_Hang | Korean |
714
+ | lao_Laoo | Lao |
715
+ | lav_Latn | Latvian |
716
+ | lit_Latn | Lithuanian |
717
+ | ltz_Latn | Luxembourgish |
718
+ | mal_Mlym | Malayalam |
719
+ | mar_Deva | Marathi |
720
+ | mey_Arab | Hassaniya Arabic |
721
+ | mkd_Cyrl | Macedonian |
722
+ | mlg_Latn | Malagasy |
723
+ | mlt_Latn | Maltese |
724
+ | mon_Mong | Mongolian |
725
+ | mri_Latn | Maori |
726
+ | msa_Latn | Malay |
727
+ | mya_Mymr | Burmese |
728
+ | nde_Latn | Ndebele |
729
+ | nep_Deva | Nepali |
730
+ | nld_Latn | Dutch |
731
+ | nno_Latn | Norwegian Nynorsk |
732
+ | nob_Latn | Norwegian Bokmål |
733
+ | nso_Latn | Northern Sotho |
734
+ | nya_Latn | Chichewa |
735
+ | orm_Ethi | Oromo |
736
+ | pan_Guru | Punjabi (Gurmukhi) |
737
+ | pol_Latn | Polish |
738
+ | por-BR_Latn | Portuguese (Brazil) |
739
+ | por_Latn | Portuguese |
740
+ | prs_Arab | Dari |
741
+ | pus_Arab | Pashto |
742
+ | ron_Latn | Romanian |
743
+ | rus_Cyrl | Russian |
744
+ | shi_Arab | Tachelhit |
745
+ | sin_Sinh | Sinhala |
746
+ | slk_Latn | Slovak |
747
+ | slv_Latn | Slovenian |
748
+ | smo_Latn | Samoan |
749
+ | sna_Latn | Shona |
750
+ | snd_Arab | Sindhi |
751
+ | som_Latn | Somali |
752
+ | spa-MX_Latn | Spanish (Mexico) |
753
+ | spa_Latn | Spanish |
754
+ | sqi_Latn | Albanian |
755
+ | srp_Cyrl | Serbian (Cyrillic) |
756
+ | srp_Latn | Serbian (Latin) |
757
+ | ssw_Latn | Swati |
758
+ | swa_Latn | Swahili |
759
+ | swe_Latn | Swedish |
760
+ | tah_Latn | Tahitian |
761
+ | tam_Taml | Tamil |
762
+ | tat_Cyrl | Tatar |
763
+ | tel_Telu | Telugu |
764
+ | tgk_Cyrl | Tajik |
765
+ | tha_Thai | Thai |
766
+ | tir_Ethi | Tigrinya |
767
+ | ton_Latn | Tongan |
768
+ | tsn_Latn | Tswana |
769
+ | tuk_Latn | Turkmen |
770
+ | tur_Latn | Turkish |
771
+ | uig_Arab | Uighur |
772
+ | ukr_Cyrl | Ukrainian |
773
+ | urd_Arab | Urdu |
774
+ | uzb_Latn | Uzbek |
775
+ | ven_Latn | Venda |
776
+ | vie_Latn | Vietnamese |
777
+ | wol_Latn | Wolof |
778
+ | xho_Latn | Xhosa |
779
+ | yor_Latn | Yoruba |
780
+ | yue_Hant | Cantonese |
781
+ | zho_Hans | Chinese (Simplified) |
782
+ | zho_Hant | Chinese (Traditional) |
783
+ | zul_Latn | Zulu |
784
+
785
+
786
+ ### Citation Information
787
+ For the original NTREX-128 dataset, please cite:
788
+
789
+ ```
790
+ @inproceedings{federmann-etal-2022-ntrex,
791
+ title = "{NTREX}-128 {--} News Test References for {MT} Evaluation of 128 Languages",
792
+ author = "Federmann, Christian and Kocmi, Tom and Xin, Ying",
793
+ booktitle = "Proceedings of the First Workshop on Scaling Up Multilingual Evaluation",
794
+ month = "nov",
795
+ year = "2022",
796
+ address = "Online",
797
+ publisher = "Association for Computational Linguistics",
798
+ url = "https://aclanthology.org/2022.sumeval-1.4",
799
+ pages = "21--24",
800
+ }
801
+ ```
802
+
803
+ as well as the WMT 2019 paper that provided the English source data NTREX-128 is based on:
804
+
805
+ ```
806
+ @inproceedings{barrault-etal-2019-findings,
807
+ title = "Findings of the 2019 Conference on Machine Translation ({WMT}19)",
808
+ author = {Barrault, Lo{\"\i}c and
809
+ Bojar, Ond{\v{r}}ej and
810
+ Costa-juss{\`a}, Marta R. and
811
+ Federmann, Christian and
812
+ Fishel, Mark and
813
+ Graham, Yvette and
814
+ Haddow, Barry and
815
+ Huck, Matthias and
816
+ Koehn, Philipp and
817
+ Malmasi, Shervin and
818
+ Monz, Christof and
819
+ M{\"u}ller, Mathias and
820
+ Pal, Santanu and
821
+ Post, Matt and
822
+ Zampieri, Marcos},
823
+ editor = "Bojar, Ond{\v{r}}ej and
824
+ Chatterjee, Rajen and
825
+ Federmann, Christian and
826
+ Fishel, Mark and
827
+ Graham, Yvette and
828
+ Haddow, Barry and
829
+ Huck, Matthias and
830
+ Yepes, Antonio Jimeno and
831
+ Koehn, Philipp and
832
+ Martins, Andr{\'e} and
833
+ Monz, Christof and
834
+ Negri, Matteo and
835
+ N{\'e}v{\'e}ol, Aur{\'e}lie and
836
+ Neves, Mariana and
837
+ Post, Matt and
838
+ Turchi, Marco and
839
+ Verspoor, Karin",
840
+ booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
841
+ month = aug,
842
+ year = "2019",
843
+ address = "Florence, Italy",
844
+ publisher = "Association for Computational Linguistics",
845
+ url = "https://aclanthology.org/W19-5301",
846
+ doi = "10.18653/v1/W19-5301",
847
+ pages = "1--61",
848
+ }
849
+ ```