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  - transliteration
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  - tibetan
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  - buddhism
 
 
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  ---
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  # Model Card for tibetan-phonetic-transliteration
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@@ -128,7 +130,8 @@ For users who wish to use the model for other texts, I recommend further finetun
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  This model was trained on 98597 pairs of text, the first member of which is a line of unicode Tibetan text, the second (the target) is a the phonetic transliteration of the first.
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  This dataset was scraped from Lotsawa House and is released on Kaggle under the same license as the texts from which it is sourced.
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- [You can find this dataset and more information by clicking here.](https://www.kaggle.com/datasets/billingsmoore/tibetan-phonetic-transliteration-pairs)
 
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  This model was trained for five epochs. Further information regarding training can be found in the documentation of the [MLotsawa repository](https://github.com/billingsmoore/MLotsawa).
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  - transliteration
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  - tibetan
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  - buddhism
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+ datasets:
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+ - billingsmoore/tibetan-phonetic-transliteration-dataset
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  ---
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  # Model Card for tibetan-phonetic-transliteration
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  This model was trained on 98597 pairs of text, the first member of which is a line of unicode Tibetan text, the second (the target) is a the phonetic transliteration of the first.
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  This dataset was scraped from Lotsawa House and is released on Kaggle under the same license as the texts from which it is sourced.
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+ [You can find this dataset and more information on Kaggle by clicking here.](https://www.kaggle.com/datasets/billingsmoore/tibetan-phonetic-transliteration-pairs)
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+ [You can find this dataset and more information on Huggingface by clicking here.](https://huggingface.co/datasets/billingsmoore/tibetan-phonetic-transliteration-dataset)
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  This model was trained for five epochs. Further information regarding training can be found in the documentation of the [MLotsawa repository](https://github.com/billingsmoore/MLotsawa).
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