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--- |
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license: cc-by-nc-4.0 |
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configs: |
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- config_name: default |
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data_files: |
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- split: bam |
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path: data/bam-* |
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- split: boz |
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path: data/boz-* |
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- split: bom |
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path: data/bom-* |
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- split: myk |
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path: data/myk-* |
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- split: sgh |
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path: data/sgh-* |
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- split: snk |
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path: data/snk-* |
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dataset_info: |
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features: |
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- name: original |
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dtype: string |
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- name: cleaned |
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dtype: string |
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- name: space_insertion |
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dtype: string |
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- name: char_delete |
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dtype: string |
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- name: char_swap |
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dtype: string |
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- name: word_swap |
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dtype: string |
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- name: word_delete |
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dtype: string |
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- name: word_blank |
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dtype: string |
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splits: |
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- name: bam |
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num_bytes: 51067075 |
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num_examples: 100000 |
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- name: boz |
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num_bytes: 352249 |
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num_examples: 254 |
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|
- name: bom |
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|
num_bytes: 3097936 |
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|
num_examples: 3085 |
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|
- name: myk |
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num_bytes: 22544040 |
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num_examples: 32916 |
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- name: sgh |
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num_bytes: 39044992 |
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num_examples: 56126 |
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- name: snk |
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num_bytes: 2510973 |
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num_examples: 8181 |
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download_size: 85681755 |
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dataset_size: 118617265 |
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task_categories: |
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- text-classification |
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- question-answering |
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- zero-shot-classification |
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language: |
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- bm |
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- ses |
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- snk |
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- bmq |
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- bze |
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- myk |
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pretty_name: mlnoisy |
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size_categories: |
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- 100K<n<1M |
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--- |
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# ml.Datx - Noisy |
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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. |
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## Languages Included |
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- Bambara |
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- Bomu |
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- Bozo |
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- Mamama |
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- Songhay |
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- Soninke |
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## Noise Functions Applied |
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The following noise functions have been applied to the texts: |
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- **Character Swap**: Randomly swaps adjacent characters. |
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- **Random Space Insertion**: Inserts random characters at random positions. |
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- **Random Character Deletion**: Deletes random characters. |
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- **Random Word Position Swapping**: Substitutes random characters with other random characters. |
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- **Word Masking**: Random word masking using BLANK keyword |
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## Dataset Structure |
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The dataset is structured as follows: |
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- data/lang_id_output.json`: Contains a list based dictionary representation of the data |
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Each data instance contains the followings *original*, *space_insertion*, *char_delete*, *char_swap*, *word_swap*, *word_delete*, *word_blank*, *cleaned*, for example: |
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```json |
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[ |
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{ |
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"original": "Yesu Kirisita Tuura Wema TUURA WEMA", |
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"space_insertion": " Ye su Kiris i ta Tu u r a Wem a TUU RA WEM A", |
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"char_delete": "Ysu isia Tuurema TURAWMA", |
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"char_swap": "eYsu iKisriat Turua Wma eTUURA WMEA", |
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"word_swap": "Yesu Kirisita Tuura Wema WEMA TUURA", |
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"word_delete": "Yesu Kirisita Tuura Wema TUURA WEMA", |
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"word_blank": "Yesu Kirisita Tuura Wema BLANK WEMA", |
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"cleaned": "Yesu Kirisita Tuura Wema TUURA WEMA" |
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} |
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... |
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] |
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``` |
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## Usage |
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To use this dataset with Hugging Face, you can load it using the `datasets` library: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset('mlsftwrs/mldatx-noisy') |
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``` |
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## Sources |
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- TBA |
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## Citation |
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If you use this dataset in your research, please cite it as follows: |
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``` |
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@misc{diarra2025mldatxnoisy, |
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title={ml.Datx:Noisy - Malian Noisy Dataset for LLM Training}, |
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author={ |
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Sebastien Diarra and |
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Nene Tangara and |
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Seydou Diallo |
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}, |
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url={https://mlsftwrs.ml/project/mldatx}, |
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year={2025} |
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} |
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``` |
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## Contact |
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For any questions or issues, please contact: |
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- [email protected]. |
