---
license: mit
task_categories:
- text-generation
tags:
- synthetic-data
- pre-training
- language-modeling
---

# Synthetic Pre-pretraining Datasets

This repository contains the pre-processed datasets released with the paper [Synthetic Pre-pretraining Survives Scale, but Not as a Grammatical Prior](https://huggingface.co/papers/2609.39827).

The datasets cover both pre-pretraining (PPT) tasks and pre-training (PT) mixtures used in the paper. PPT tasks include k-Shuffle Dyck, Set, MP-Struct Core, and NCA; PT mixtures include C4, SmolLM3, Olmo3, Marin, and FineWeb-Edu configurations. The pre-processed data are tokenized and organized by configuration.

- Paper: [https://huggingface.co/papers/2609.39827](https://huggingface.co/papers/2609.39827)
- Code: [https://github.com/gucci-j/verify-ppt-at-scale](https://github.com/gucci-j/verify-ppt-at-scale)
- Project page: [https://huggingface.co/verify-ppt](https://huggingface.co/verify-ppt)

For details on dataset composition, preprocessing, training, and evaluation, please refer to the [GitHub repository](https://github.com/gucci-j/verify-ppt-at-scale).