Update README.md

README.md

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 It is a truncated version of [NLLB-200-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) model 
 (6 layers instead of 12, 512 hidden dimensions instead of 1024) with 175M parameters (131M of which are token embeddings).
 
-This model was fine-tuned on the [slone/nllb-200-10M-sample](https://huggingface.co/datasets/slone/nllb-200-10M-sample) subset of the NLLB dataset
-with 175 languages, using only the samples with BLASER score above 3.5.
+This model was fine-tuned on the [slone/nllb-200-10M-sample](https://huggingface.co/datasets/slone/nllb-200-10M-sample) subset of 
+the [NLLB dataset](https://huggingface.co/datasets/allenai/nllb) with 175 languages, using only the samples with BLASER score above 3.5.
 
 Because of its small size, it is really bad at translation, but can serve as a base model for further fine-tuning for a small number of languages.
 It is recommended to prune the vocabulary of this model before fine-tuning, to preserve only the tokens used with the intended languages.