Update README.md

README.md

@@ -110,7 +110,7 @@ The experiments are done on different k-fold validation setups. The dataset has
 ## Dataset Creation
 
 ### Curation Rationale
-Existing task-oriented dialogue datasets are 1) predominantly limited to detecting a single intent, 2) focused on a single domain, and 3) include a small set of slot types. Furthermore, the success of task-oriented dialogue is \textbf{4)} often evaluated on a small set of higher-resource languages (i.e., typically English) which does not test how generalisable systems are to the diverse range of the world's languages.
+Existing task-oriented dialogue datasets are 1) predominantly limited to detecting a single intent, 2) focused on a single domain, and 3) include a small set of slot types. Furthermore, the success of task-oriented dialogue is 4) often evaluated on a small set of higher-resource languages (i.e., typically English) which does not test how generalisable systems are to the diverse range of the world's languages.
 Our proposed dataset addresses all these limitations
 
 
@@ -149,6 +149,6 @@ The dataset is Creative Commons Attribution 4.0 International (cc-by-4.0)
 Coming soon
 
 ### Contact
-[Nikita Moghe](mailto:nikita.moghe@ed.ac.uk) and E[Liane Guillou](mailto:lguillou@ed.ac.uk)
+[Nikita Moghe](mailto:nikita.moghe@ed.ac.uk) and [Evgeniia Razumovskaia](er563@cam.ac.uk) and [Liane Guillou](mailto:lguillou@ed.ac.uk)
 
 Dataset card based on [Allociné](https://huggingface.co/datasets/allocine)