kambale/luganda-english-parallel-corpus

English-Luganda Parallel Corpus for Translation

Dataset Description

This dataset contains parallel sentences in English (en) and Luganda (lg), designed primarily for training and fine-tuning machine translation models. The data consists of sentence pairs extracted from a source document.

Languages

• English (en)
• Luganda (lg) - ISO 639-1 code: lg

Data Format

The dataset is provided in a format compatible with the Hugging Face datasets library. Each entry consists of a dictionary with the following keys:

• english: (string) The sentence in English.
• luganda: (string) The corresponding translation in Luganda.

Example:

{
  "english": "Farmers should be encouraged to grow more coffee.",
  "luganda": "Abalimi balina okukubirizibwa okwongera okulima emmwanyi"
}

Data Splits

The dataset contains a single split:

train: Contains all the extracted parallel sentences.

Dataset Creation

The data was extracted from an Excel file containing two columns: one for English sentences and one for Luganda sentences. A Python script using pandas was used to read the Excel file and process the rows.

Extraction Statistics:

• Total rows read from source Excel file: 25006
• Valid sentence pairs extracted: 25006
• Rows skipped (due to missing data or empty strings): 0
• All 25,006 valid pairs form the train split of this dataset.

How to Use

You can load the dataset using the Hugging Face datasets library:

from datasets import load_dataset

dataset_name = "kambale/luganda-english-parallel-corpus"
dataset = load_dataset(dataset_name)

# Access the training split
train_dataset = dataset['train']

# Print the first example
print(train_dataset[0])
# Expected Output:
# {'english': 'Some English sentence...', 'luganda': 'Some Luganda sentence...'}

Licensing

The license for this dataset is Apache-2.0. Please ensure your use case complies with the license terms. The original source data from which this dataset was derived may have its own licensing conditions.

Citation

If you use this dataset in your research, please consider citing it.

@misc{wesley_kambale_2025,
    author       = {Wesley Kambale},
    title        = {English-Luganda Parallel Corpus for Translation},
    year         = 2025,
    url          = {https://huggingface.co/datasets/kambale/luganda-english-parallel-corpus},
    doi          = {10.57967/hf/5246},
    publisher    = {Hugging Face}
}