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---
license: apache-2.0
task_categories:
- translation
language:
- rm
- de
configs:
- config_name: de_DE-rm-rumgr
data_files:
- split: test
path: de_DE-rm-rumgr.jsonl
- config_name: de_DE-rm-sursilv
data_files:
- split: test
path: de_DE-rm-sursilv.jsonl
- config_name: de_DE-rm-sutsilv
data_files:
- split: test
path: de_DE-rm-sutsilv.jsonl
- config_name: de_DE-rm-surmiran
data_files:
- split: test
path: de_DE-rm-surmiran.jsonl
- config_name: de_DE-rm-puter
data_files:
- split: test
path: de_DE-rm-puter.jsonl
- config_name: de_DE-rm-vallader
data_files:
- split: test
path: de_DE-rm-vallader.jsonl
---
# WMT24++ Reference Translations for Romansh
## Description
WMT24++ benchmark in Romansh (six varieties: Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader).
- Paper: ["Expanding the WMT24++ Benchmark with Rumantsch Grischun, Sursilvan, Sutsilvan, Surmiran, Puter, and Vallader"](https://aclanthology.org/2025.wmt-1.79/)
- Code: https://github.com/ZurichNLP/romansh_mt_eval
- Original WMT24++ benchmark (55 languages): https://huggingface.co/datasets/google/wmt24pp
- The reference translation have been created by human translators based on the German version of WMT24++.
## License
<!-- Contributions to existing datasets must be released under the same license as the parent dataset. For completely new contributions, we encourage the use of an open license. At a minimum, data should be made available for research use. Please specify the license using an SPDX license identifier. -->
Apache-2.0
## Language codes
<!-- * If this language is assigned an ISO 639-3 individual language code (not a macrolanguage code), specify it here. * Please specify the script this language is written in using an ISO 15924 code. * If this language is assigned a Glottocode, please specify it here. -->
| Subset | Variety | ISO 639-3 | ISO 15924 script code | Glottocode |
|--------------------------------|-----------------------|-----------|-----------------------|--------------|
| **de_DE-rm-rumgr.jsonl** | Rumantsch Grischun | roh | Latn | ruma1247 |
| **de_DE-rm-sursilv.jsonl** | Sursilvan | roh | Latn | surs1244 |
| **de_DE-rm-sutsilv.jsonl** | Sutsilvan | roh | Latn | suts1235 |
| **de_DE-rm-surmiran.jsonl** | Surmiran | roh | Latn | surm1243 |
| **de_DE-rm-puter.jsonl** | Puter | roh | Latn | uppe1396 |
| **de_DE-rm-vallader.jsonl** | Vallader | roh | Latn | lowe1386 |
## Data Creation Workflow
<!-- What workflow was followed in creating this dataset? E.g., for a translated dataset, relevant information includes: what language the content was translated from, the number of translators, aggregate translator information (how many were native speakers in the target language, how many were highly proficient in the target languages, how many had professional translation experience), was any fraction of the data checked independently by third parties, etc. -->
The data acquisition process was structured into three steps to ensure high quality, consistency, and adherence to idiom-specific conventions.
1. **Translation**: We hired language professionals who are native speakers of both German and the respective Romansh idiom.
2. **Review**: Two expert linguists of Lia Rumantscha reviewed a sample of translations for a representative selection of varieties, and formulated feedback that was communicated to all translators.
3. **Revision**: The translators incorporated the feedback into the reference translations.
We provided the translators with a guidelines document, inspired by the WMT24 translator brief.
The key points of the guidelines, which we provide in Appendix E of the [paper](https://aclanthology.org/2025.wmt-1.79/), are:
* The German text is the main source for the translation into Romansh, while the English text can be used as an additional reference in case of ambiguity.
* No AI tools should be used for the translation.
The translators and reviewers had access to the complete context of each segment, including a link to the original website from which the segment was extracted (e.g., for segments from the Speech domain, the original YouTube video).
## Citations
This dataset:
```bibtex
@inproceedings{vamvas-et-al-2025-expanding,
title = "Expanding the {WMT}24++ Benchmark with {R}umantsch {G}rischun, {S}ursilvan, {S}utsilvan, {S}urmiran, {P}uter, and {V}allader",
author = "Vamvas, Jannis and P{\'e}rez Prat, Ignacio and Soliva, Not and Baltermia-Guetg, Sandra and Beeli, Andrina and Beeli, Simona and Capeder, Madlaina and Decurtins, Laura and Gregori, Gian Peder and Hobi, Flavia and Holderegger, Gabriela and Lazzarini, Arina and Lazzarini, Viviana and Rosselli, Walter and Vital, Bettina and Rutkiewicz, Anna and Sennrich, Rico",
editor = "Haddow, Barry and Kocmi, Tom and Koehn, Philipp and Monz, Christof",
booktitle = "Proceedings of the Tenth Conference on Machine Translation",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.wmt-1.79/",
pages = "1028--1047",
ISBN = "979-8-89176-341-8",
}
```
WMT24:
```bibtex
@inproceedings{kocmi-etal-2024-findings,
title = "Findings of the {WMT}24 General Machine Translation Shared Task: The {LLM} Era Is Here but {MT} Is Not Solved Yet",
author = "Kocmi, Tom and Avramidis, Eleftherios and Bawden, Rachel and Bojar, Ond{\v{r}}ej and Dvorkovich, Anton and Federmann, Christian and Fishel, Mark and Freitag, Markus and Gowda, Thamme and Grundkiewicz, Roman and Haddow, Barry and Karpinska, Marzena and Koehn, Philipp and Marie, Benjamin and Monz, Christof and Murray, Kenton and Nagata, Masaaki and Popel, Martin and Popovi{\'c}, Maja and Shmatova, Mariya and Steingr{\'i}msson, Steinth{\'o}r and Zouhar, Vil{\'e}m",
editor = "Haddow, Barry and Kocmi, Tom and Koehn, Philipp and Monz, Christof",
booktitle = "Proceedings of the Ninth Conference on Machine Translation",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.wmt-1.1/",
doi = "10.18653/v1/2024.wmt-1.1",
pages = "1--46",
}
```
WMT24++:
```bibtex
@inproceedings{deutsch-etal-2025-wmt24,
title = "{WMT}24++: Expanding the Language Coverage of {WMT}24 to 55 Languages {\&} Dialects",
author = "Deutsch, Daniel and Briakou, Eleftheria and Caswell, Isaac Rayburn and Finkelstein, Mara and Galor, Rebecca and Juraska, Juraj and Kovacs, Geza and Lui, Alison and Rei, Ricardo and Riesa, Jason and Rijhwani, Shruti and Riley, Parker and Salesky, Elizabeth and Trabelsi, Firas and Winkler, Stephanie and Zhang, Biao and Freitag, Markus",
editor = "Che, Wanxiang and Nabende, Joyce and Shutova, Ekaterina and Pilehvar, Mohammad Taher",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2025",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.findings-acl.634/",
doi = "10.18653/v1/2025.findings-acl.634",
pages = "12257--12284",
ISBN = "979-8-89176-256-5",
}
``` |