Update README.md

README.md

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 XLM-RoBERTa model pre-trained on 2.5TB of filtered CommonCrawl data containing 100 languages. It was introduced in the paper [Unsupervised Cross-lingual Representation Learning at Scale](https://arxiv.org/abs/1911.02116) by Conneau et al. and first released in [this repository](https://github.com/pytorch/fairseq/tree/master/examples/xlmr).
 
-This model was fine-tuned to classify intents based on the dataset [Jarbas/ovos_intents_train](https://huggingface.co/Jarbas/ovos_intents_train)
+This model was fine-tuned to classify intents based on the dataset [Jarbas/ovos_intents_train](https://huggingface.co/datasets/Jarbas/ovos_intents_train)
 
 ## Intended uses & limitations