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README.md

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-**Model Summary**
+**Dataset Summary**
 
 Recently, IBM has introduced GneissWeb; a large dataset yielding around 10 trillion tokens that caters to the data quality and quantity requirements of training LLMs. The models trained using GneissWeb dataset outperform those trained on FineWeb 1.1.0 by 2.14 percentage points in terms of average score computed on a set of 11 commonly used benchmarks
 
-In order to be able to reproduce GneissWeb,  we provide here a [Bloom filter](https://dl.acm.org/doi/10.1145/362686.362692) representing all the document ids of  FineWeb 1.1.0 whose documents are part of GneissWeb.  it is of size 28GB and is of the [rbloom](https://github.com/KenanHanke/rbloom) family of Bloom filters. It is to be probed with the id column of FineWeb 1.1.0 or of Common Crawl.
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      **Developers**: IBM Research