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README.md
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@@ -156,7 +156,7 @@ For the filtering stage, we utilized a set of hand-crafted and tuned filters der
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For the deduplication stage, we used minhash approximate deduplication. We deduplicated on 13-grams and used a minhash signature size of 128 and filtered out documents above a Jaccard similarity of 0.4.
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For full details on our data processing, see the [Zyda technical report]
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#### Personal and Sensitive Information
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We are releasing this dataset under the terms of [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). By using this dataset, you are also bound any license agreements and terms of use of the original data sources.
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## Citation
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If you use our dataset to train a model, please cite us at:
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For the deduplication stage, we used minhash approximate deduplication. We deduplicated on 13-grams and used a minhash signature size of 128 and filtered out documents above a Jaccard similarity of 0.4.
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For full details on our data processing, see the [Zyda technical report](https://arxiv.org/abs/2406.01981) and our [dataset processing code](https://github.com/Zyphra/Zyda_processing).
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#### Personal and Sensitive Information
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We are releasing this dataset under the terms of [ODC-BY](https://opendatacommons.org/licenses/by/1-0/). By using this dataset, you are also bound any license agreements and terms of use of the original data sources.
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## Citation
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If you use our dataset to train a model, please cite us at:
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```
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@misc{tokpanov2024zyda,
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title={Zyda: A 1.3T Dataset for Open Language Modeling},
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author={Yury Tokpanov and Beren Millidge and Paolo Glorioso and Jonathan Pilault and Adam Ibrahim and James Whittington and Quentin Anthony},
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year={2024},
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eprint={2406.01981},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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