minor

README.md

@@ -26,10 +26,10 @@ AlpacaEval provides the following:
 - [**Human evaluation data**](#data-release): 20K human preferences between a given and reference model
   on the [AlpacaFarm](https://github.com/tatsu-lab/alpaca_farm/tree/main)
   evaluation set. 2.5K of these are cross-annotations (4 humans annotating the same 650 examples).
-- [**AlpacaEval dataset**](#data-release): a simplification
+- [**AlpacaEval dataset**](https://huggingface.co/datasets/tatsu-lab/alpaca_eval/blob/main/alpaca_eval.json): a simplification
   of [AlpacaFarm's](https://github.com/tatsu-lab/alpaca_farm/tree/main) evaluation set, where "instructions" and "
   inputs" are merged
-  into one field, and reference outputs are longer.
+  into one field, and reference outputs are longer. [Details here]((#data-release)).
 
 **When to use AlpacaEval?** Our automatic evaluator is a quick and cheap proxy for human evaluation of simple
 instruction-following tasks.