swan07/math-tiers
Math-Tiers: A Tiered Pretraining Corpus for Studying Numerical Reasoning A large-scale English pretraining corpus split into three tiers by mathematical content density. Designed for controlled experiments studying how data composition during pretraining affects numerical reasoning in language models. Tiers Tier Description Shards Size Est. Tokens Sources T0 Pure narrative: no digits, number words, or math 648 542 GB ~113B RedPajama-Book… See the full description on the dataset page: https://huggingface.co/datasets/swan07/math-tiers.
| Author / organization | swan07 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.3K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 February 2026 |
| Last updated at source | 6 March 2026 |
Popularity, last 3 days
1,343 now (-94 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: Math-Tiers: A Tiered Pretraining Corpus for Studying Numerical Reasoning A large-scale English pretraining corpus split into three tiers by mathematical content density. Designed for controlled experiments studying how data composition duri → Math-Tiers: A Tiered Pretraining Corpus for Studying Numerical Reasoning A large-scale English pretraining corpus split into three tiers by mathematical content density. Designed for controlled experiments studying how data composition duri
Changes detected by Silytics between refreshes of the source.
More from swan07
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.