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  # SWAHILI-NER-DATASET
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- Swahili NER dataset is Named Entity Recognition (NER) dataset generated from <https://huggingface.co/datasets/swahili> using back translation techniques.
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  In case you're interested to explore more about the script used to generate this dataset, please have a look into [Augumented Swahili Data](https://github.com/Neurotech-HQ/Augumented-swahili-ner-data).
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- This data has been cleaned using couple of techniques and ready for training a Spacy NER model without any modifications, with this data we were able to train a [swahili-spacy-ner](<https://share.streamlit.io/neurotech-hq/swahili-ner-spacy/main/app.py>.
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  # EXPLORING DATA
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- Here an example on how the dataset have been structured;
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  ```json
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  [
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  ## CONTRIBUTION
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- This dataset is opensource under ```MIT LICENSE``` therefore you're warmly welcome to contribute,```JUST FORK IT```.
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  ## ISSUES
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- In case you're having any issues, please raise one so as we can quickly fix it.
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- ## GIVE IT STAR
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-
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- Did you find this repo useful ? Give it a star so more people can find about this
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  ## CREDITS
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  All the credits to;
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- 1. [Kalebu](https://github.com/kalebu/)
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- 2. [Anthony Mipawa](https://github.com/Tonyloyt)
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- 3.[akshayb7](https://github.com/akshayb7)
 
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  </samp>
 
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  # SWAHILI-NER-DATASET
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+ Swahili NER dataset is a Named Entity Recognition (NER) dataset generated from <https://huggingface.co/datasets/swahili> using back-translation techniques.
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  In case you're interested to explore more about the script used to generate this dataset, please have a look into [Augumented Swahili Data](https://github.com/Neurotech-HQ/Augumented-swahili-ner-data).
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+ This data has been cleaned using a couple of techniques and is ready for training a Spacy NER model without any modifications, with this data we were able to train a [swahili-spacy-ner](https://share.streamlit.io/neurotech-hq/swahili-ner-spacy/main/app.py).
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  # EXPLORING DATA
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+ Here is an example of how the dataset has been structured;
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  ```json
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  [
 
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  ## CONTRIBUTION
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+ This dataset is open source under ```MIT LICENSE``` therefore you're warmly welcome to contribute,```JUST FORK IT```.
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  ## ISSUES
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+ In case you're having any issues, please raise one so we can quickly fix it.
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  ## CREDITS
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  All the credits to;
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+ 1. [Kalebu](https://github.com/kalebu/)
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+ 2. [Anthony Mipawa](https://github.com/Tonyloyt)
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+ 3. [akshayb7](https://github.com/akshayb7)
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+
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  </samp>