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## openwebtext dataset
after running `prepare.py` (preprocess) we get:
- train.bin is ~17GB, val.bin ~8.5MB
- train has ~9B tokens (9,035,582,198)
- val has ~4M tokens (4,434,897)
this came from 8,013,769 documents in total.
references:
- OpenAI's WebText dataset is discussed in [GPT-2 paper](https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf)
- [OpenWebText](https://skylion007.github.io/OpenWebTextCorpus/) dataset
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