sklmindforge/llm_division_training
收藏Hugging Face2026-03-20 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/sklmindforge/llm_division_training
下载链接
链接失效反馈官方服务：
资源简介：
---
license: mit
language:
- en
---
# Triple-Tier Division Curriculum (Partial Quotients)
A structured curriculum designed to teach the concept of "Sharing" and "Chunking" to small language models.
## Curriculum Structure
1. **Tier 1: Division Tables (1-100)** - Rote memorization of clean divisors to establish factor-pair weights.
2. **Tier 2: Signs & Remainders** - Introduces the arithmetic rules for negative divisors and the concept of "leftovers" ($R$).
3. **Tier 3: Partial Quotients (Large)** - Teaches a "Chunking" method for multi-digit division, which is more token-efficient for LLMs than traditional long division.
## Key Logic
By teaching the model to "Take a big chunk" (e.g., $B \times 100$), we reduce the number of reasoning steps required to reach the final quotient, significantly lowering the chance of calculation drift.
提供机构：
sklmindforge
