Update README.md

README.md

@@ -54,6 +54,9 @@ tags:
 We release a dataset containing 23,270 time-locked (0.7s) word-level EEG recordings acquired from 15 participants who read both text that was semantically relevant and irrelevant to self-selected topics.
 
 See [code repository][1] for benchmark results.
+Datasheet is here: [data repository][2].
+
+
 
 Explanations of the variables:
 
@@ -93,4 +96,5 @@ word = first_entry['word']
 We recommend using the Croissant metadata to explore the dataset.
 
 
-  [1]: https://github.com/VadymV/EEG-dataset-for-semantic-text-relevance/tree/main
+  [1]: https://github.com/VadymV/EEG-dataset-for-semantic-text-relevance/tree/main
+  [2]: https://osf.io/p4zue/