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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
english_clean: string
luo_clean: string
english: null
luo: null
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 507
to
{'english': Value('string'), 'luo': 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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2361, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1914, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              english_clean: string
              luo_clean: string
              english: null
              luo: null
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 507
              to
              {'english': Value('string'), 'luo': Value('string')}
              because column names don't match

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YAML Metadata Warning: The task_ids "machine-translation" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, text2text-generation, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation

English to Luo Translation Dataset

Dataset Summary

This dataset contains English to Luo translation pairs extracted and cleaned from the Opus corpus. The dataset is designed for machine translation tasks between English and Luo languages. Luo (also known as Dholuo) is a Nilotic language spoken by the Luo people primarily in Kenya and Tanzania.

The dataset consists of approximately 1.49 million translation pairs that have been cleaned and preprocessed for machine translation applications.

Supported Tasks and Leaderboards

  • Machine Translation: The dataset can be used to train machine translation models for English-to-Luo and Luo-to-English translation tasks.

Languages

The dataset contains text in two languages:

  • English (en)
  • Luo (luo) - A Nilotic language spoken in East Africa

Dataset Structure

Data Instances

Each instance contains a pair of sentences, one in English and one in Luo:

{
  "english": "And the name of his wife [was] Maacah.",
  "luo": "Jaode niluongo ni Maaka,"
}

Data Fields

  • english: The English sentence
  • luo: The corresponding Luo translation

Data Splits

The dataset currently contains only a training split with 1,489,107 examples.

Dataset Creation

Curation Rationale

This dataset was created to support machine translation research and development for the Luo language, which is considered a low-resource language in the context of natural language processing. The dataset aims to facilitate the development of translation tools that can help bridge the language gap for Luo speakers.

Source Data

The dataset is based on the Opus corpus, which is a large collection of translated texts from the web.

Initial Data Collection and Normalization

The data was extracted from the Opus corpus and underwent cleaning and preprocessing steps to ensure quality and consistency.

Annotations

Annotation process

The dataset consists of naturally occurring translation pairs from the Opus corpus and does not contain additional human annotations.

Who are the annotators?

No additional annotators were involved in the creation of this dataset beyond the original translators of the source materials in the Opus corpus.

Personal and Sensitive Information

The dataset may contain publicly available translated text that could potentially include names or other identifying information present in the original source materials.

Considerations for Using the Data

Social Impact of Dataset

This dataset supports the development of translation tools for Luo, a language spoken by millions of people in East Africa. Such tools can help preserve the language, facilitate education, and improve access to information for Luo speakers.

Discussion of Biases

The dataset reflects the biases present in the original Opus corpus materials. Users should be aware that translation quality and domain coverage may vary across different types of content.

Other Known Limitations

  • The dataset is primarily focused on written text and may not capture spoken language variations
  • Translation quality may vary depending on the source material
  • The dataset represents version 1.0 and may contain errors that will be addressed in future versions

Additional Information

Dataset Curators

Brian Mwangi

Licensing Information

Creative Commons Attribution 4.0 International (CC BY 4.0)

Citation Information

@misc{english_to_luo_opus,
  title={Cleaned Opus English to Luo Translation Dataset},
  author={Brian Mwangi},
  year={2024},
  note={A cleaned dataset of English to Luo translations based on the Opus corpus}
}

Contributions

This dataset was created to support machine translation research for the Luo language and to contribute to the development of NLP tools for underrepresented African languages.

Changelog

Version 1.0 (Initial Release)

  • Initial release with 1,489,107 English-Luo translation pairs
  • Data cleaned and preprocessed from Opus corpus
  • Basic dataset structure and loading script implemented
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