Update README.md

README.md

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-DICE: Dataset for Controlled Evaluation of Idiomatic Expressions
+# DICE: Dataset for Controlled Evaluation of Idiomatic Expressions
+
+## Summary
+DICE is a corpus for testing models' understanding of potentially idiomatic expressions (PIEs), and potential effects of memorisation.
+
+PIEs are expressions that can be interpreted with a figurative meaning or a literal meaning, depending on the context in which they occur.
+For instance, "let the cat out of the bag" could mean "revealing a secret", it could also hold a more literal interpretation of "releasing a cat from a bag". 
+
+Improving on previous datasets for idiomaticity detection, we keep the form of the expression the same in both literal and figurative contexts. In doing so, we are able to test the robustness of the models. If model do understanding context, they would be able to correctly resolve the interpretation of the expressions.
+
+## Dataset Structure
+
+Per instance example:
+
+```json
+{
+    'ID': '',
+    'idiom': 'across the board',
+    'sentence': '',
+    'cleaned_sentence'
+    'label': 'figurative',
+}
+```
+