Update README.md

README.md

@@ -23,6 +23,8 @@ This learned metric is for evaluating models trained on the TaTA dataset. It was
 
 It achieves an RMSE loss of 0.41 on the dev split, and a Pearson correlation of 0.23 with human evaluations on the test split ("attributable" column of [this dataset](https://huggingface.co/datasets/adenhaus/stata)).
 
+The original file can be found [here](https://github.com/google-research/url-nlp/tree/main/tata).
+
 [Here](https://huggingface.co/adenhaus/mt5-large-stata/blob/main/README.md) is a version trained with mT5-Large instead of mT5-Small, which achieves a correlation of 0.59.
 
 # Example use