Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior
Paper • 2609.39827 • Published • 13
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Synthetic Pre-pretraining Datasets
This repository contains the pre-processed datasets used in the paper Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior.
The datasets cover synthetic pre-pretraining (PPT) tasks (e.g., k-Shuffle Dyck, Set, MP-Struct Core, NCA) and corresponding control/pre-training data mixtures (e.g., C4, SmolLM3, Olmo3, Marin, FineWeb-Edu). They are tokenized and intended for language model pre-pretraining and pre-training experiments across multiple model scales.
- Project page: https://huggingface.co/verify-ppt
- Code: https://github.com/gucci-j/verify-ppt-at-scale
For the full list of available dataset repositories, preprocessing scripts, and training/evaluation details, please refer to the GitHub repository and the project page.
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