| --- |
| license: other |
| language: |
| - es |
| - guc |
| - inb |
| - kbh |
| - pbb |
| task_categories: |
| - translation |
| tags: |
| - machine-translation |
| - indigenous-languages |
| - colombia |
| - low-resource |
| - wayuunaiki |
| - inga |
| - kamentsa |
| - nasa-yuwe |
| pretty_name: 'CIL-Dataset: Colombian Indigenous Languages' |
| size_categories: |
| - 100K<n<1M |
| configs: |
| - config_name: inga |
| data_files: inga.csv |
| - config_name: kamentsa |
| data_files: kamentsa.csv |
| - config_name: nasa_yuwe |
| data_files: nasa_yuwe.csv |
| - config_name: wayuunaiki |
| data_files: wayuunaiki.csv |
| - config_name: wayuunaiki_monolingual |
| data_files: wayuunaiki_monolingual.csv |
| - config_name: wayuunaiki_rephrasing_completo |
| data_files: |
| - split: train |
| path: rephrasing/wayuu_completo_rephrasing_train.csv |
| - split: validation |
| path: rephrasing/wayuu_completo_rephrasing_dev.csv |
| - split: test |
| path: rephrasing/wayuu_completo_rephrasing_test.csv |
| - config_name: wayuunaiki_rephrasing_sin_dict |
| data_files: |
| - split: train |
| path: rephrasing/wayuu_sin_dict_rephrasing_train.csv |
| - split: validation |
| path: rephrasing/wayuu_sin_dict_rephrasing_dev.csv |
| - split: test |
| path: rephrasing/wayuu_sin_dict_rephrasing_test.csv |
| --- |
| |
| # CIL-Dataset: Colombian Indigenous Languages |
|
|
| Parallel and monolingual corpora for machine translation between **Spanish** and |
| four Colombian Indigenous languages: **Wayuunaiki**, **Inga**, **Kamëntsá** and |
| **Nasa Yuwe**. Compiled for the thesis *Data-Centric Strategies for Low-Resource |
| Neural Machine Translation in Colombian Indigenous Languages* (Universidad de los |
| Andes, FLAG Lab). |
|
|
| ## Languages |
|
|
| | Language | Column | ISO 639-3 | |
| |---|---|---| |
| | Spanish | `esp` | spa | |
| | Wayuunaiki | `way` | guc | |
| | Inga | `ing` | inb | |
| | Kamëntsá | `kam` | kbh | |
| | Nasa Yuwe | `nas` | pbb | |
|
|
| ## Contents |
|
|
| ### Parallel and monolingual corpora |
|
|
| Full corpora, one aligned segment per row. |
|
|
| | Config | File | Rows | Columns | |
| |---|---|---|---| |
| | `inga` | `inga.csv` | 4,552 | `esp`, `ing`, `origen` | |
| | `kamentsa` | `kamentsa.csv` | 281 | `esp`, `kam`, `origen` | |
| | `nasa_yuwe` | `nasa_yuwe.csv` | 4,031 | `esp`, `nas`, `origen` | |
| | `wayuunaiki` | `wayuunaiki.csv` | 83,579 | `esp`, `way`, `origen` | |
| | `wayuunaiki_monolingual` | `wayuunaiki_monolingual.csv` | 2,676 | `way`, `origen` | |
|
|
| The `origen` column is a provenance identifier formatted as |
| `<language>__<type>_<source>__<year>` (for example |
| `wayuu__dictionary_negrete_amaya__2021`). Sources include Bible translations, |
| dictionaries, grammars, constitutional texts, short stories and books. |
|
|
| ### Rephrasing subset (Wayuunaiki) |
|
|
| Train/validation/test splits used to study rogue memorization. In the training |
| split, the Spanish side of biblical rows is replaced by an alternate human Spanish |
| Bible translation, which reduces repeated Spanish targets. The Wayuunaiki side is |
| never modified, and validation/test keep the original Spanish. |
|
|
| | Config | Split | Rows | |
| |---|---|---| |
| | `wayuunaiki_rephrasing_completo` | train / validation / test | 67,135 / 8,222 / 8,222 | |
| | `wayuunaiki_rephrasing_sin_dict` | train / validation / test | 7,469 / 763 / 764 | |
|
|
| Extra columns in the rephrasing files: `source_row_id`, `esp_original`, |
| `esp_target_rephrased`, `verse_id`, `repeat_group_size`, `assigned_version`, |
| `rephrase_applied`, `rephrase_strategy`. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| |
| # a parallel corpus |
| inga = load_dataset("Flaglab/CIL-Dataset", "inga") |
| |
| # the rephrasing splits |
| reph = load_dataset("Flaglab/CIL-Dataset", "wayuunaiki_rephrasing_completo") |
| print(reph["train"][0]) |
| ``` |
|
|
| ## Trained models |
|
|
| NLLB-200 fine-tunes built on this data are available in the collection |
| [Machine Translation for Colombian Indigenous Languages](https://huggingface.co/collections/Flaglab/machine-translation-for-indigenous-language-preservation-6a51849c7b97d28984f9df4d). |
|
|
| ## Sources and licensing |
|
|
| The corpora were assembled from heterogeneous materials (Bible translations, |
| dictionaries, grammars, constitutional texts, community stories and books). These |
| sources carry their own copyrights and licenses. The dataset is released for |
| **non-commercial research use**; downstream users are responsible for respecting |
| the licensing of each underlying source. The rephrasing subset draws Spanish |
| renderings from public Spanish Bible versions in the BibleNLP/eBible corpus. |
|
|
