verify-ppt/smollm3-stack-v2-C

Synthetic Pre-pretraining Datasets This repository contains pre-processed datasets from the paper Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior. The datasets cover pre-pretraining (PPT) tasks such as k-Shuffle Dyck, Set, MP-Struct Core, and NCA, as well as control and pre-training (PT) mixtures (e.g., C4, SmolLM3, Olmo3, Marin, FineWeb-Edu). They are tokenized and used for training and evaluating language models across scales from 500M to 7B… See the full description on the dataset page: https://huggingface.co/datasets/verify-ppt/smollm3-stack-v2-C.

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