Datasets:
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README.md
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num_examples: 1820241
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download_size: 1360869461
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dataset_size: 2305854627
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license:
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task_categories:
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- text-generation
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size_categories:
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Filtering clusters... (num_proc=40): 100% 6315233/6315233 [03:53<00:00, 27069.61 examples/s]
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Saving the dataset (33/33 shards): 100% 1820241/1820241 [07:07<00:00, 4260.38 examples/s]
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[10/11/23 23:41:46] INFO Loading :
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```
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num_examples: 1820241
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download_size: 1360869461
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dataset_size: 2305854627
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license: odc-by
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task_categories:
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- text-generation
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size_categories:
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Filtering clusters... (num_proc=40): 100% 6315233/6315233 [03:53<00:00, 27069.61 examples/s]
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Saving the dataset (33/33 shards): 100% 1820241/1820241 [07:07<00:00, 4260.38 examples/s]
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[10/11/23 23:41:46] INFO Loading :
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```
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## citation
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```
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@misc{paster2023openwebmath,
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title={OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text},
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author={Keiran Paster and Marco Dos Santos and Zhangir Azerbayev and Jimmy Ba},
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year={2023},
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eprint={2310.06786},
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archivePrefix={arXiv},
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primaryClass={cs.AI}
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}
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```
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