fixed paths in README (#581)

README.md

@@ -168,7 +168,7 @@ For a new module to be added, a user can pick the right design based on the proc
 
 One can leverage Python-based processing logic and the Data Processing Library to easily build and contribute new transforms. We have provided an [example transform](transforms/universal/noop) that can serve as a template to add new simple transforms. Follow the step by step [tutorial](data-processing-lib/doc/simplest-transform-tutorial.md) to help you add your own new transform. 
 
-For a deeper understanding of the library's architecture, its transforms, and available runtimes, we encourage the reader to consult the comprehensive [overview document](../../data-processing-lib/doc/overview.md) alongside dedicated sections on [transforms](../../data-processing-lib/doc/transforms.md) and [runtimes](../../data-processing-lib/doc/transform-runtimes.md).
+For a deeper understanding of the library's architecture, its transforms, and available runtimes, we encourage the reader to consult the comprehensive [overview document](data-processing-lib/doc/overview.md) alongside dedicated sections on [transforms](data-processing-lib/doc/transforms.md) and [runtimes](data-processing-lib/doc/transform-runtimes.md).
 
 Additionally, check out our [video tutorial](https://www.youtube.com/watch?v=0WUMG6HIgMg) for a visual, example-driven guide on adding custom modules.