agicorp/MathInstruct

Dataset Overview

Name: MathInstruct

License: MIT

Task Category: Text Generation

Language: English

Size Category: 100 k–1 M examples

Tags: Mathematics

Dataset Details

• Source: MathInstruct aggregates 13 math reasoning datasets, six of which are newly compiled in this work.
• Features: Emphasizes a hybrid of chain‑of‑thought (CoT) and program‑of‑thought (PoT) reasoning, covering a wide range of mathematical fields.
• Models:
  • Base Models: Llama‑2 and Code Llama
  • Model Variants:
    • 7B: MAmmoTH‑7B, MAmmoTH‑Coder‑7B
    • 13B: MAmmoTH‑13B, MAmmoTH‑Coder‑13B
    • 34B: MAmmoTH‑Coder‑34B
    • 70B: MAmmoTH‑70B

License Details

• GSM8K: MIT
• GSM8K‑RFT: Not listed
• AQuA‑RAT: Apache 2.0
• MATH: MIT
• TheoremQA: MIT
• Camel‑Math: Attribution‑NonCommercial 4.0 International
• NumGLUE: Apache‑2.0
• MathQA: Apache‑2.0
• Our Curated: MIT

Citation

@article{yue2023mammoth,
  title={MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning},
  author={Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen},
  journal={arXiv preprint arXiv:2309.05653},
  year={2023}
}