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README.md
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@@ -126,7 +126,7 @@ Recently, IBM has introduced GneissWeb; a large dataset yielding around 10 trill
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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.
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The id column in FineWeb 1.1.0 looks like this : <urn:uuid:39147604-bfbe-4ed5-b19c-54105f8ae8a7
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4. IBM Data Prep Kit transforms and notebook to recreate GneissWeb using the methods described above
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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.
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The id column in FineWeb 1.1.0 looks like this : <urn:uuid:39147604-bfbe-4ed5-b19c-54105f8ae8a7>. The bloom filter is of the [rbloom](https://github.com/KenanHanke/rbloom) type and of size 28 GB.
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4. IBM Data Prep Kit transforms and notebook to recreate GneissWeb using the methods described above
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