Update README.md

README.md

@@ -37,8 +37,8 @@ This model can normalize historical German spellings from the 19th century.
 ## Model description
 
 `Transnormer` is a byte-level sequence-to-sequence model for normalizing historical German text. 
-This model was trained on text from the 19th and late 18th century, by performing a fine-tuning of [google/byt5-small](https://huggingface.co/google/byt5-small). 
-The fine-tuning data was a modified version of the [DTA EvalCorpus](https://kaskade.dwds.de/~moocow/software/dtaec/) (see section [Training and evaluation data](#training-and-evaluation-data)).
+This model was trained on text from the 19th and late 18th century, 
+by performing a fine-tuning of [google/byt5-small](https://huggingface.co/google/byt5-small) on the [DTA reviEvalCorpus](https://huggingface.co/datasets/ybracke/dta-reviEvalCorpus-v1), a modified version of the [DTA EvalCorpus](https://kaskade.dwds.de/~moocow/software/dtaec/) (see section [Training and evaluation data](#training-and-evaluation-data)).
 
 ## Uses