ml.Datx - Noisy

This dataset contains texts in six Malian languages with various noise functions applied. It is designed for use with Hugging Face's NLP tools and models.

Languages Included

Bambara
Bomu
Bozo
Mamama
Songhay
Soninke

Noise Functions Applied

The following noise functions have been applied to the texts:

Character Swap: Randomly swaps adjacent characters.
Random Space Insertion: Inserts random characters at random positions.
Random Character Deletion: Deletes random characters.
Random Word Position Swapping: Substitutes random characters with other random characters.
Word Masking: Random word masking using BLANK keyword

Dataset Structure

The dataset is structured as follows:

data/lang_id_output.json`: Contains a list based dictionary representation of the data

Each data instance contains the followings original, space_insertion, char_delete, char_swap, word_swap, word_delete, word_blank, cleaned, for example:

[
    {
        "original": "Yesu Kirisita Tuura Wema TUURA WEMA",
        "space_insertion": " Ye su Kiris i ta Tu u r a  Wem a  TUU RA   WEM A",
        "char_delete": "Ysu isia Tuurema TURAWMA",
        "char_swap": "eYsu iKisriat Turua Wma eTUURA WMEA",
        "word_swap": "Yesu Kirisita Tuura Wema WEMA TUURA",
        "word_delete": "Yesu Kirisita Tuura Wema TUURA WEMA",
        "word_blank": "Yesu Kirisita Tuura Wema BLANK WEMA",
        "cleaned": "Yesu Kirisita Tuura Wema TUURA WEMA"
    }
...
]

Usage

To use this dataset with Hugging Face, you can load it using the datasets library:

from datasets import load_dataset

dataset = load_dataset('mlsftwrs/mlnoisy')

Sources

Citation

If you use this dataset in your research, please cite it as follows:

@misc{diarra2025mldatxnoisy,
    title={ml.Datx:Noisy -  Malian Noisy Dataset for LLM Training},
    author={
        Sebastien Diarra and
        Nene Tangara and
        Seydou Diallo
    },
    url={https://mlsftwrs.ml/project/mldatx},
    year={2025}
}

Contact

For any questions or issues, please contact:

[email protected].