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  "text": "BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining\n\n\"we introduce BeyondWeb, a synthetic data generation  framework that produces high-quality synthetic data for pretraining.  BeyondWeb significantly extends the capabilities of traditional  web-scale datasets, outperforming state-of-the-art synthetic pretraining  datasets such as Cosmopedia and Nemotron-CC's high-quality synthetic  subset (Nemotron-Synth) by up to 5.1 percentage points (pp) and 2.6pp,  respectively, when averaged across a suite of 14 benchmark evaluations.  It delivers up to 7.7x faster training than open web data and 2.7x  faster than Nemotron-Synth. Remarkably, a 3B model trained for 180B  tokens on BeyondWeb outperforms an 8B model trained for the same token  budget on Cosmopedia.\"",
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