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+# Contributing to Prive
+
+Welcome to Prive the synthetic data privacy toolbox from The Alan Turing Institute.
+
+We encourage everyone to use our package to run privacy tests on their own
+datasets using standard generating methods, and to test their new synthetic
+generating methods on new or standard datasets.
+
+We welcome contributions either to improve our tooling 
+fix bugs or add new features.
+
+We would also support adding your own: 
+- Privacy Attacks 
+- Threat Models
+- Dataset types
+- Synthetic Generators
+
+We encourage the standard use of Github Issues and pull requests and subsequent reviews. 
+
+
+