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Datasets:
LirioSandro
/
KmbPtMT

Tasks:
Translation
Text Generation
Languages:
Kimbundu
Portuguese
Tags:
kimbundu
low-resource
african-languages
nmt
License:
Dataset card Files
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
source: string
target: string
context: string
kmb: null
pt: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 601
to
{'kmb': Value('string'), 'pt': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              source: string
              target: string
              context: string
              kmb: null
              pt: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 601
              to
              {'kmb': Value('string'), 'pt': Value('string')}
              because column names don't match

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Dataset Card for Kimbundu-Portuguese Translation

Dataset Summary

This dataset contains 18,100 parallel sentence pairs between Kimbundu (a Bantu language from Angola) and Portuguese. It is a valuable resource aimed at bridging the data gap for low-resource African languages, specifically curated for Neural Machine Translation (NMT) tasks.

Language Details

  • Kimbundu (kmb): One of Angola's national languages, carrying significant cultural and historical importance.
  • Portuguese (pt): The official language of Angola and the target language for this dataset.

Dataset Structure

The dataset is organized in translation pairs. Each entry consists of:

  • kmb: Source text in Kimbundu.
  • pt: Corresponding translation in Portuguese.

Example

kmb pt
Muthu ni Dikixi. O Homem e o Monstro.

Creation and Curatorship

  • Data Sources: Books, religious websites, news outlets, and manual collection.
  • Preprocessing: The data underwent a cleaning process including deduplication, character normalization, and orthographic correction.

Applications

This dataset is ideal for:

  1. Training Machine Translation models (Transformer, MarianMT, etc.).
  2. Fine-tuning pre-trained multilingual language models (such as mBART or mT5).
  3. Comparative linguistic studies between Bantu and Romance languages.

Limitations and Ethical Considerations

As is common with low-resource datasets:

  • Size: With 18.1k pairs, models may struggle to capture complex grammatical nuances without data augmentation or transfer learning techniques.
  • Domain: The source data is predominantly from a specific domain (religious), generalization to everyday conversation may be limited.
  • Due to the scarcity of digital data in the Kimbundu language, this work used diverse sources for the purposes of cultural preservation and non-profit linguistic research. The dataset is made available under a scientific use license, respecting the integrity of the original sources through data fragmentation.
  • Purpose: This dataset was compiled exclusively for the purposes of linguistic preservation, scientific research and development of Natural Language Processing (NLP) technologies for the Kimbundu language.
  • Copyright: This dataset contains fragments of texts from different sources (literary, musical works and information platforms). Original copyright belongs to their respective holders.
  • Responsibility: The author of this dataset does not claim ownership of third-party content. By downloading or using this data, you assume full responsibility for any copyright infringements that may arise from commercial use or improper redistribution.
  • Removal: If you own the rights to any content here and wish to have it removed, please contact lirio.ramalheira1@gmail.com.

How to Cite

If you use this dataset in your research, please use the following citation: [Insert citation format here, e.g., BibTeX]
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