Update README.md

README.md

@@ -114,11 +114,13 @@ Recently, IBM has introduced GneissWeb; a large dataset yielding around 10 trill
 
 2. [Bloom filter](https://huggingface.co/ibm-granite/GneissWeb.bloom) built on the document ids of  GneissWeb documents.  This can be used to recreat GneissWeb using the document ids from FineWeb 1.1.0 or any version of Common Crawl
 
-      This filter offers a way to determine which documents of FineWeb 1.1.0 or Common Crawl are part of GneissWeb. Bloom Annotatory transforms are available in IBMs Data Prep Kit to make it easy to use this filter.
+    This filter offers a way to determine which documents of FineWeb 1.1.0 or Common Crawl are part of GneissWeb.  Bloom Annotatory transforms are available in [IBMs Data Prep Kit](https://github.com/IBM/data-prep-kit) to make it easy to use this filter.
 
-      The Bloom Annotator transform assigns a label of 1 if the document is present in the GneissWeb Bloom filter; otherwise, it assigns 0. This approach provides a clear understanding of which documents in FineWeb 1.1.0 are also present in GneissWeb and which are not.
+    The [Bloom Annotator transform](https://github.com/ian-cho/data-prep-kit/tree/dev/transforms/universal/bloom) assigns a label of 1 if the document is present in the GneissWeb Bloom filter; otherwise, it assigns 0. This approach provides a clear understanding of which documents in FineWeb 1.1.0 are also present in GneissWeb and which are not. 
 
-      The id column in FineWeb 1.1.0 looks like this : urn:uuid:39147604-bfbe-4ed5-b19c-54105f8ae8a7
+    The id column in FineWeb 1.1.0 looks like this :  <urn:uuid:39147604-bfbe-4ed5-b19c-54105f8ae8a7>
+
+   
 4. IBM Data Prep Kit transforms and  notebook to recreate GneissWeb using the methods described above
 
 5. Notebook to recreate GneissWeb using a bloom filter built on the document ids of GneissWeb