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4. [Notebook](https://github.com/IBM/data-prep-kit/blob/dev/examples/notebooks/GneissWeb/GneissWeb.ipynb) to recreate GneissWeb using the methods described above
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5. [Notebook](https://github.com/ian-cho/data-prep-kit/blob/dev/transforms/universal/bloom/bloom_python.ipynb) to recreate GneissWeb using a bloom filter built on the document ids of GneissWeb
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4. [Notebook](https://github.com/IBM/data-prep-kit/blob/dev/examples/notebooks/GneissWeb/GneissWeb.ipynb) to recreate GneissWeb using the methods described above
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5. [Notebook](https://github.com/ian-cho/data-prep-kit/blob/dev/transforms/universal/bloom/bloom_python.ipynb) to recreate GneissWeb using a bloom filter built on the document ids of GneissWeb
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6. [Blog](https://research.ibm.com/blog/gneissweb-for-granite-training) and [Paper](https://huggingface.co/datasets/ibm-granite/GneissWeb/blob/main/GneissWebPaper_Feb21_2025.pdf)
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