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Co-authored-by: Rohit Kumar <rohitdavas@users.noreply.huggingface.co>

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  1. README.md +1 -1
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@@ -43,7 +43,7 @@ This model can be used for Fill-Mask tasks.
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  Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
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- This model was pretrinaed on a subcorpus of OSCAR multilingual corpus. Some of the limitations and risks associated with the OSCAR dataset, which are further detailed in the [OSCAR dataset card](https://huggingface.co/datasets/oscar), include the following:
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  > The quality of some OSCAR sub-corpora might be lower than expected, specifically for the lowest-resource languages.
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  Significant research has explored bias and fairness issues with language models (see, e.g., [Sheng et al. (2021)](https://aclanthology.org/2021.acl-long.330.pdf) and [Bender et al. (2021)](https://dl.acm.org/doi/pdf/10.1145/3442188.3445922)).
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+ This model was pretrained on a subcorpus of OSCAR multilingual corpus. Some of the limitations and risks associated with the OSCAR dataset, which are further detailed in the [OSCAR dataset card](https://huggingface.co/datasets/oscar), include the following:
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  > The quality of some OSCAR sub-corpora might be lower than expected, specifically for the lowest-resource languages.
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