Update README.md

README.md

@@ -133,6 +133,6 @@ Recently, IBM has introduced GneissWeb; a large dataset yielding around 10 trill
    
 4. IBM Data Prep Kit transforms for [Rep_removal](https://github.com/IBM/data-prep-kit/tree/dev/transforms/universal/rep_removal), [Classifications](https://github.com/IBM/data-prep-kit/tree/dev/transforms/language/gneissweb_classification), [Extreme_tokenized](https://github.com/IBM/data-prep-kit/tree/dev/transforms/language/extreme_tokenized), [Readability](https://github.com/IBM/data-prep-kit/tree/dev/transforms/language/readability)
 
-5. [notebook](https://github.com/IBM/data-prep-kit/blob/dev/examples/notebooks/GneissWeb/GneissWeb.ipynb) to recreate GneissWeb using the methods described above : 
+5. [Notebook](https://github.com/IBM/data-prep-kit/blob/dev/examples/notebooks/GneissWeb/GneissWeb.ipynb) to recreate GneissWeb using the methods described above : 
 
-6. Notebook to recreate GneissWeb using a bloom filter built on the document ids of GneissWeb
+6. [Notebook](https://github.com/ian-cho/data-prep-kit/tree/dev/transforms/universal/bloom) to recreate GneissWeb using a bloom filter built on the document ids of GneissWeb