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---
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
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num_examples: 19956
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dataset_size: 849044
- config_name: default
features:
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dtype: string
- name: cleaned
dtype: string
- name: space_insertion
dtype: string
- name: char_delete
dtype: string
- name: char_swap
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- name: word_swap
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- name: word_delete
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- name: word_blank
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- name: myk
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features:
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dtype: string
- name: text
dtype: string
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- name: khassonke
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- name: konabere
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- name: minianka
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- name: sonoufo
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- name: tamasheq
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- name: bambara
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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:
```json
[
{
"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:
```python
from datasets import load_dataset
dataset = load_dataset('mlsftwrs/mlnoisy')
```
## Sources
- TBA
## 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]. |