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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: odc-by
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ pretty_name: Zyda
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+ size_categories:
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+ - n>1T
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+ ---
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+
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+ Zyda is a unified dataset, released under a permissive license, comprising most of the largest and highest quality existing open-source datasets available.
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+ Upon these, we have performed extensive additional filtering, beyond what was originally applied, and thorough intra- and inter-dataset deduplication.
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+ Our aim with this work is to create a growing and extendable meta-dataset which can be easily used by practitioners to train trillion-token scale language models
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+ while also consolidating and unifying the efforts made by disparate open-source groups who have released their datasets. Ultimately, we hope that our work can
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+ provide an 'off-the-shelf' accessible trillion-scale high quality pretraining dataset which can be used by groups interested in pretraining their own LLM models.
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+
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+ While not performing new filtering from common-crawl, we believe that our work is an important and valuable step towards the creation of large scale
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+ high quality open datasets given that there exist a number of high quality existing datasets but few to none of them individually reach the scale
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+ necessary for training frontier models. Collating, filtering, and deduplicating the existing datasets needed to create a trillion token dataset is
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+ nontrivial work and extremely important to raise the quality of the dataset and prevent significant amounts of inter-dataset duplicates.
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+ This latter operation of deduplication between datasets is extremely important given the degree of duplicated documents we discovered in
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+ the datasets that we collected in this work.
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+
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+ Here we are releasing a version of the dataset that was deduplicated using LSH minhash technique with 40% Jaccard similarity threshold.