RedMod/mga_fineweb_edu
Massive Genre-Audience Augment Fineweb-Edu Corpus This dataset is a synthetic pretraining corpus described in paper Reformulation for Pretraining Data Augmentation. Overview of synthesis framework. Our method expands the original corpus through a two-stage synthesis process. Each document is reformulated to 5 new documents, achieving 3.9× token number expansion while maintaining diversity through massive (genre, audience) pairs. We build MGACorpus based on SmolLM Corpus… See the full description on the dataset page: https://huggingface.co/datasets/RedMod/mga_fineweb_edu.
| Author / organization | RedMod |
|---|---|
| License (as declared) | odc-by |
| Downloads | 252 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 16 April 2026 |
| Last updated at source | 16 April 2026 |
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