Update CONTRIBUTING.md

Co-authored-by: Thomas Yu <[email protected]>

CONTRIBUTING.md

@@ -145,7 +145,7 @@ This package uses [Great Expectations](https://greatexpectations.io/) to validat
 
 1. Create a new expectation suite by defining the expectations for the new dataset in a Jupyter Notebook inside the `gx_suite_definitions` folder. Use `metabolomics.ipynb` as an example.
 1. Run the notebook to generate the new expectation suite. It should populate as a JSON file in the `great_expectations/expectations` folder.
-1. Add support for running  Great Expectations on a dataset by adding the `gx_folder` key to the configuration for your datatset in both `test_config.yaml` and `config.yaml`. The `gx_folder` should be a Synapse ID pointing to the folder where we will upload generated HTML reports from Great Expectations. If a folder specific to your dataset does not yet exist in the proper locations ([Prod](https://www.synapse.org/#!Synapse:syn52948668), [Testing](https://www.synapse.org/#!Synapse:syn52948670)), create folders named after the dataset and copy the new folders' Synapse IDs to the config files.
+1. Add support for running Great Expectations on a dataset by adding the `gx_folder` key to the configuration for your datatset in both `test_config.yaml` and `config.yaml`. The `gx_folder` should be a Synapse ID pointing to the folder where we will upload generated HTML reports from Great Expectations. If a folder specific to your dataset does not yet exist in the proper locations ([Prod](https://www.synapse.org/#!Synapse:syn52948668), [Testing](https://www.synapse.org/#!Synapse:syn52948670)), create folders named after the dataset and copy the new folders' Synapse IDs to the config files.
 1. Test data processing by running `adt test_config.yaml` and ensure that HTML reports with all expectations are generated and uploaded to the proper folder in Synapse.
 
 #### Custom Expectations