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add citation and paper link

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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] (TODO LINK) 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 [optional]
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  If you use our dataset to train a model, please cite us at:
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- (-/TODO)
 
 
 
 
 
 
 
 
 
 
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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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+ ```