| --- |
| license: cc-by-sa-4.0 |
| dataset_info: |
| - config_name: aldizkariak_eu_es_en |
| features: |
| - name: id |
| dtype: string |
| - name: text_eu |
| dtype: string |
| - name: translation_es |
| dtype: string |
| - name: translation_en |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 175976 |
| num_examples: 60 |
| download_size: 121448 |
| dataset_size: 175976 |
| - config_name: berria_eu_es_en |
| features: |
| - name: id |
| dtype: string |
| - name: text |
| dtype: string |
| - name: es_translation |
| dtype: string |
| - name: en_translation |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 251931 |
| num_examples: 77 |
| download_size: 179366 |
| dataset_size: 251931 |
| - config_name: bopv_eu_es |
| features: |
| - name: uid |
| dtype: string |
| - name: src |
| dtype: string |
| - name: date |
| dtype: timestamp[s] |
| - name: url |
| dtype: string |
| - name: text_eu |
| dtype: string |
| - name: text_es |
| dtype: string |
| - name: meta |
| struct: |
| - name: title |
| dtype: string |
| - name: range |
| dtype: string |
| - name: status |
| dtype: string |
| - name: bulletin |
| dtype: string |
| - name: order |
| dtype: string |
| - name: disp |
| dtype: string |
| - name: date_disp |
| dtype: timestamp[s] |
| - name: org |
| dtype: string |
| - name: dept |
| dtype: string |
| - name: sec |
| dtype: string |
| - name: tags |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 146508 |
| num_examples: 40 |
| download_size: 87783 |
| dataset_size: 146508 |
| - config_name: eusparallel_eu_es_en |
| features: |
| - name: id |
| dtype: string |
| - name: text_eu |
| dtype: string |
| - name: translation_es |
| dtype: string |
| - name: translation_en |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 323813 |
| num_examples: 66 |
| download_size: 205663 |
| dataset_size: 323813 |
| - config_name: instructions_eu_es_en |
| features: |
| - name: id |
| dtype: string |
| - name: meta_data |
| dtype: string |
| - name: text_eu |
| dtype: string |
| - name: translation_es |
| dtype: string |
| - name: translation_en |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 612805 |
| num_examples: 753 |
| download_size: 370011 |
| dataset_size: 612805 |
| - config_name: parliament_eu_es |
| features: |
| - name: uid |
| dtype: string |
| - name: src |
| dtype: string |
| - name: date |
| dtype: string |
| - name: url |
| dtype: string |
| - name: text_eu |
| dtype: string |
| - name: text_es |
| dtype: string |
| - name: meta |
| struct: |
| - name: leg |
| dtype: string |
| - name: sess |
| dtype: string |
| - name: speaker |
| dtype: string |
| - name: party |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 141483 |
| num_examples: 38 |
| download_size: 98305 |
| dataset_size: 141483 |
| - config_name: podcast_eu_es |
| features: |
| - name: id |
| dtype: string |
| - name: text_eu |
| dtype: string |
| - name: translation_es |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 704242 |
| num_examples: 17 |
| download_size: 391012 |
| dataset_size: 704242 |
| configs: |
| - config_name: aldizkariak_eu_es_en |
| data_files: |
| - split: test |
| path: aldizkariak_eu_es_en/test-* |
| - config_name: berria_eu_es_en |
| data_files: |
| - split: test |
| path: berria_eu_es_en/test-* |
| - config_name: bopv_eu_es |
| data_files: |
| - split: test |
| path: bopv_eu_es/test-* |
| - config_name: eusparallel_eu_es_en |
| data_files: |
| - split: test |
| path: eusparallel_eu_es_en/test-* |
| - config_name: instructions_eu_es_en |
| data_files: |
| - split: test |
| path: instructions_eu_es_en/test-* |
| - config_name: parliament_eu_es |
| data_files: |
| - split: test |
| path: parliament_eu_es/test-* |
| - config_name: podcast_eu_es |
| data_files: |
| - split: test |
| path: podcast_eu_es/test-* |
| --- |
| |
|
|
|
|
| # ALIA_DocMT_Evaluation |
|
|
| **ALIA_DocMT_Evaluation** is a challenging document-level machine translation (Doc-MT) benchmark featuring high-quality, human-translated reference data. Please note that for the **BOPV** and **Parliament** domains, the segments are sampled from the test splits of the real source data and are currently in the process of being manually translated into English. |
|
|
| * **Berria:** News domain extracted from the Basque newspaper Berria. |
| * **Parliament:** Political and legal dialogue domain from the Basque Parliament. |
| * **BOPV:** Administrative and legal domain from the Official Gazette of the Basque Country. |
| * **Instructions:** Diverse instructional prompts (e.g., Q&A, summarization) for task evaluation. |
| * **EUSparallel:** General web domain filtered from the euscrawl corpus. |
| * **Aldizkariak:** Scientific and academic domain sourced from Basque journals. |
| * **Podcasts:** Informal conversational domain extracted from Basque podcast transcripts. |
|
|
|
|
|
|
| ## Dataset Statistics |
|
|
|
|
| | Domain / Source | Description Focus | Segments / Docs | Total Words | |
| | :--- | :--- | :--- | :--- | |
| | **Instructions** | Diverse task prompts (QA, summaries, etc.) | 764 | 23,529 | |
| | **Berria** | News with dynamic context windows | 77 | 10,129 | |
| | **Parliament** | Formal political dialogue (consecutive turns) | 38 | 8,275 | |
| | **BOPV** | Administrative texts (<300 words) | 40 | 6,496 | |
| | **Aldizkariak** | Scientific journal extracts | 60 | 6,590 | |
| | **Podcasts** | Informal spontaneous dialogue (SRT transcripts) | 17 | 50,820 | |
| | **EUSparallel** | General domain with deep context (*euscrawl*) | 66 | 13,127 | |
|
|
|
|
| ## Intended Use |
| This dataset is intended for: |
| * Evaluation of document-level machine translation models |
| * Multilingual NLP research |
|
|
| ## License |
|
|
| This data is released under Creative Commons CC-BY-SA license following the license of the original data. |
|
|
| ## Contact |
| For questions or issues, please contact the ALIA / HiTZ team or open an issue on the Hugging Face dataset repository. |
|
|
| ## Citation |
| If you use this dataset in your work, please cite the ALIA project and the corresponding translation models used. |
|
|
| ## Funding |
| This work is funded by the Ministerio para la Transformación Digital y de la Función Pública - Funded by EU – NextGenerationEU within the framework of the project Desarrollo de Modelos ALIA. |
|
|
