oliverkinch/machine-translation-da-uk

---
language:
- da
- uk
license: cc0-1.0
task_categories:
- translation
tags:
- danish
- ukrainian
- opus
- parallel-corpus
- translation
pretty_name: Danish-Ukrainian Translation Dataset
size_categories:
- 1M<n<10M
source_datasets:
- opus
---

# Danish-Ukrainian Machine Translation Dataset

A Danish–Ukrainian parallel corpus assembled from multiple OPUS sources and filtered using heuristic quality rules.

## Dataset Summary

| Attribute | Value |
| ------------------------------- | ------------------------------ |
| Columns | `danish`, `ukrainian`, `source` |
| Language pair | Danish → Ukrainian |
| Sentence length range (Danish) | 4 – 150 words |

## Load the dataset

```python
from datasets import load_dataset

ds = load_dataset("oliverkinch/machine-translation-da-uk", split="train")
print(ds[0])
# {'danish': '...', 'ukrainian': '...', 'source': 'NLLB'}
```

## Data Fields

| Field | Type | Description |
| ----------- | ------ | ---------------------------- |
| `danish` | string | Source sentence in Danish |
| `ukrainian` | string | Target sentence in Ukrainian |
| `source` | string | Originating corpus name |

## Source Corpora

The dataset aggregates sentence pairs from the following OPUS corpora:

| Source | Domain |
| --------------------------- | ----------------- |
| ELRC-5179-acts_Ukrainian | EU legal acts |
| WikiMatrix | Wikipedia |
| ELRC-wikipedia_health | Health |
| TED2020 | TED Talks |
| wikimedia | Wikipedia |
| NLLB | Multilingual web |

ELRC-5179-acts_Ukrainian contains EU legislative documents translated by professional translators. WikiMatrix and wikimedia derive from Wikipedia content aligned across languages. TED2020 provides parallel transcripts of TED talks. NLLB (No Language Left Behind) is a multilingual corpus released by Meta AI.

## Filtering Pipeline

Pairs were retained only if they passed all of the following heuristic filters:

| Filter | Criterion |
| ----------------------------- | --------- |
| Minimum words (Danish) | ≥ 4 |
| Minimum words (Ukrainian) | ≥ 3 |
| Maximum words (either side) | ≤ 150 |
| DA/UK word-count ratio | 0.4 – 2.5 |
| URLs in either field | Rejected |
| Non-Latin script in Danish | Rejected |
| Non-Cyrillic Ukrainian text | Rejected |
| Exact deduplication (Danish) | Enabled |

## Intended Uses

* Training and fine-tuning machine translation (MT) models for the Danish–Ukrainian direction
* Data augmentation for low-resource Danish and Ukrainian NLP tasks
* Benchmarking cross-lingual representations

## Licensing

Individual source corpora carry their own licenses (primarily CC-BY-4.0 and CC-BY-SA-4.0). Please consult the [OPUS platform](https://opus.nlpl.eu) for the license of each sub-corpus before use in commercial settings.

## Citation

If you use this dataset, please cite the relevant OPUS sub-corpora. The OPUS platform is described in:

```bibtex
@inproceedings{tiedemann-2012-parallel,
title = {Parallel Data, Tools and Interfaces in {OPUS}},
author = {Tiedemann, J{\"o}rg},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation ({LREC}'12)},
year = {2012},
pages = {2214--2218}
}
```