metadata

license: cc-by-nc-4.0
configs:
  - config_name: bam-cantique
    data_files:
      - split: train
        path: bam-cantique/train-*
  - config_name: default
    data_files:
      - split: bam
        path: data/bam-*
      - split: boz
        path: data/boz-*
      - split: bom
        path: data/bom-*
      - split: myk
        path: data/myk-*
      - split: sgh
        path: data/sgh-*
      - split: snk
        path: data/snk-*
  - config_name: multi-lang
    data_files:
      - split: boomu
        path: multi-lang/boomu-*
      - split: khassonke
        path: multi-lang/khassonke-*
      - split: konabere
        path: multi-lang/konabere-*
      - split: minianka
        path: multi-lang/minianka-*
      - split: dogon
        path: multi-lang/dogon-*
      - split: fulfulde
        path: multi-lang/fulfulde-*
      - split: songhoy
        path: multi-lang/songhoy-*
      - split: sonoufo
        path: multi-lang/sonoufo-*
      - split: tamasheq
        path: multi-lang/tamasheq-*
      - split: bambara
        path: multi-lang/bambara-*
dataset_info:
  - config_name: bam-cantique
    features:
      - name: language
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: train
        num_bytes: 849044
        num_examples: 19956
    download_size: 224196
    dataset_size: 849044
  - config_name: default
    features:
      - name: original
        dtype: string
      - name: cleaned
        dtype: string
      - name: space_insertion
        dtype: string
      - name: char_delete
        dtype: string
      - name: char_swap
        dtype: string
      - name: word_swap
        dtype: string
      - name: word_delete
        dtype: string
      - name: word_blank
        dtype: string
    splits:
      - name: bam
        num_bytes: 51067075
        num_examples: 100000
      - name: boz
        num_bytes: 352249
        num_examples: 254
      - name: bom
        num_bytes: 3097936
        num_examples: 3085
      - name: myk
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        num_examples: 32916
      - name: sgh
        num_bytes: 39044992
        num_examples: 56126
      - name: snk
        num_bytes: 2510973
        num_examples: 8181
    download_size: 85681755
    dataset_size: 118617265
  - config_name: multi-lang
    features:
      - name: language
        dtype: string
      - name: text
        dtype: string
    splits:
      - name: boomu
        num_bytes: 825380
        num_examples: 6103
      - name: khassonke
        num_bytes: 1121609
        num_examples: 7921
      - name: konabere
        num_bytes: 1007044
        num_examples: 6699
      - name: minianka
        num_bytes: 1403959
        num_examples: 7933
      - name: dogon
        num_bytes: 1297421
        num_examples: 7832
      - name: fulfulde
        num_bytes: 856885
        num_examples: 6183
      - name: songhoy
        num_bytes: 946258
        num_examples: 8231
      - name: sonoufo
        num_bytes: 895601
        num_examples: 5457
      - name: tamasheq
        num_bytes: 1364540
        num_examples: 7253
      - name: bambara
        num_bytes: 2238801
        num_examples: 17157
    download_size: 5986721
    dataset_size: 11957498
task_categories:
  - text-classification
  - question-answering
  - zero-shot-classification
language:
  - bm
  - ses
  - snk
  - bmq
  - bze
  - myk
pretty_name: mlnoisy
size_categories:
  - 100K<n<1M
version: 0.1.1

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].