docs: fix typos in README

README.md

@@ -1,6 +1,6 @@
 # Data Validation Engine
 
-The Data Validation Engine (DVE) is a configuration driven data validation library built and utilised by NHS England. Currently the package has been reverted from v1.0.0 release to a 0.x as we feel the package is not yet mature enough to be considered a 1.0.0 release. So please bare this in mind if reading through the commits and references to a v1+ release when on v0.x.
+The Data Validation Engine (DVE) is a configuration driven data validation library built and utilised by NHS England. Currently the package has been reverted from v1.0.0 release to a 0.x as we feel the package is not yet mature enough to be considered a 1.0.0 release. So please bear this in mind if reading through the commits and references to a v1+ release when on v0.x.
 
 As mentioned above, the DVE is "configuration driven" which means the majority of development for you as a user will be building a JSON document to describe how the data will be validated. The JSON document is known as a `dischema` file and example files can be accessed [here](./tests/testdata/). If you'd like to learn more about JSON document and how to build one from scratch, then please read the documentation [here](./docs/).
 
@@ -9,7 +9,7 @@ Once a dischema file has been defined, you are ready to use the DVE. The DVE is
 |    | Service | Purpose |
 | -- | ------- | ------- |
 | 1. | File Transformation | This service will take submitted files and turn them into stringified parquet file(s) to ensure that a consistent data structure can be passed through the other services. |
-| 2. | Data Contract | This service will validate and peform type casting against a stringified parquet file using [pydantic models](https://docs.pydantic.dev/1.10/). |
+| 2. | Data Contract | This service will validate and perform type casting against a stringified parquet file using [pydantic models](https://docs.pydantic.dev/1.10/). |
 | 3. | Business Rules | The business rules service will perform more complex validations such as comparisons between fields and tables, aggregations, filters etc to generate new entities. |
 | 4. | Error Reports | The error reports service will take all the errors raised in previous services and surface them into a readable format for a downstream users/service. Currently, this implemented to be an excel spreadsheet but could be reconfigured to meet other requirements/use cases. |
 
@@ -33,7 +33,7 @@ To install the DVE package you can simply install using a package manager such a
 pip install git+https://github.com/NHSDigital/data-validation-engine.git@v0.1.0
 ```
 
-Once you have installed the DVE you are ready to use it. For guidance on how to create your dischema json document (configuration), please read the [documentation](./docs/).
+Once you have installed the DVE you are ready to use it. For guidance on how to create your dischema JSON document (configuration), please read the [documentation](./docs/).
 
 Please note - The long term aim is to make the DVE available via PyPi and Conda but we are not quite there yet. Once available this documentation will be updated to contain the new installation options.