---
dataset_info:
  features:
  - name: source_lang
    dtype: string
  - name: text
    dtype: string
  - name: target_lang
    dtype: string
  splits:
  - name: train
    num_bytes: 1611280063
    num_examples: 3056791
  download_size: 899425095
  dataset_size: 1611280063
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- bg
- cs
- da
- de
- el
- en
- es
- et
- fi
- fr
- ga
- hr
- hu
- it
- lt
- lv
- mt
- nl
- pl
- pt
- ro
- sk
- sl
- sv
- uk
task_categories:
- translation
license: cc-by-4.0
---

# Dataset Card for EU Acts: Ukrainian → EU Languages (le-llm/EU-acts-uk-to-langs)

## Dataset Description

**Dataset Summary**

**EU-acts-uk-to-langs** is a sentence- and segment-aligned parallel corpus of EU legal acts, pairing **Ukrainian (uk)** source segments with their counterparts in the 24 official EU languages. The corpus is derived from TMX memories built from: (a) translations of EU acts published at the official portal of the Parliament of Ukraine, and (b) EU acts available on EUR-Lex. The resource originates from ELRC-SHARE “EU acts in Ukrainian” and is redistributed under **CC BY 4.0**.

**Languages**

- Source: Ukrainian (`uk`)
- Targets: the official EU languages listed below (24 total including `en`).

## Dataset Structure

**Data Fields**

Each record is one aligned segment pair:

- `source_lang`: always `uk`
- `target_lang`: one of the 24 EU language codes listed below
- `text`: template: "Український текст:\n\n{{uk_text}}\n\nПортугальський текст:\n\n{{pt_text}}


# Language code -> Ukrainian display name
LANG_NAME_UK = {
    "bg": "Болгарський", "cs": "Чеський", "da": "Данський", "de": "Німецький",
    "el": "Грецький", "en": "Англійський", "es": "Іспанський", "et": "Естонський",
    "fi": "Фінський", "fr": "Французький", "ga": "Ірландський", "hr": "Хорватський",
    "hu": "Угорський", "it": "Італійський", "lt": "Литовський", "lv": "Латвійський",
    "mt": "Мальтійський", "nl": "Нідерландський", "pl": "Польський", "pt": "Португальський",
    "ro": "Румунський", "sk": "Словацький", "sl": "Словенський", "sv": "Шведський",
    # Add any others you see in your TMX folder:
    "cs_CZ": "Чеський", "de_DE": "Німецький", "en_GB": "Англійський", "en_US": "Англійський",
    "el_GR": "Грецький", "pt_PT": "Португальський", "pt_BR": "Португальський",
}

**Splits**

- `train`: full corpus (3,056,791 aligned pairs across all target languages).

**Language coverage and pair counts**

| Code | Language | Segment count (pairs) |
|---|---|---|
| bg | Bulgarian | 133,031 |
| cs | Czech | 130,003 |
| da | Danish | 129,504 |
| de | German | 129,623 |
| el | Greek | 131,428 |
| en | English | 129,941 |
| es | Spanish | 131,406 |
| et | Estonian | 130,220 |
| fi | Finnish | 129,311 |
| fr | French | 130,778 |
| ga | Irish | 94,399 |
| hr | Croatian | 133,291 |
| hu | Hungarian | 130,703 |
| it | Italian | 131,001 |
| lt | Lithuanian | 130,075 |
| lv | Latvian | 131,147 |
| mt | Maltese | 83,812 |
| nl | Dutch | 130,337 |
| pl | Polish | 131,572 |
| pt | Portuguese | 130,936 |
| ro | Romanian | 132,471 |
| sk | Slovak | 131,336 |
| sl | Slovenian | 131,131 |
| sv | Swedish | 129,335 |

## Dataset Creation

**Source Data**

- Original TMX compilation: ELRC-SHARE (3,056,791 TUs).

**Intended Uses**

- Training and evaluation for machine translation from Ukrainian to EU languages.
- Domain adaptation for legal/administrative translation.
- Research on multilingual legal translation and terminology.

## How to Use

```python
from datasets import load_dataset

ds = load_dataset("le-llm/EU-acts-uk-to-langs", split="train")

# Filter to a specific target language, e.g., Polish
pl = ds.filter(lambda x: x["target_lang"] == "pl")
print(pl[0])
```

## Citation
- ELRC-SHARE (CC-BY-SA-4.0).

- **BibTeX**
```bibtex
@dataset{EU-acts-langs-to-uk,
  title   = {EU Acts: Ukrainian → EU Languages },
  author  = {lapa-llm},
  year    = {2025},
  url     = {https://huggingface.co/datasets/lapa-llm/EU-acts-uk-to-langs}
}
```
## License
CC-BY-SA-4.0

This dataset is part of the "Lapa" - Ukrainian LLM initiative to advance natural language processing for the Ukrainian language.