大模型的能力来源

https://arxiv.org/pdf/2402.18041

大模型合规来源

https://arxiv.org/html/2402.12193v2

大模型的罪恶检测来源

https://www.kaggle.com/datasets/odins0n/ucf-crime-dataset/data

code math

https://github.com/mlabonne/llm-datasets

Math & Logic

LLMs often struggle with mathematical reasoning and formal logic, which has led to the creation of specialized datasets. These datasets extend beyond pure mathematics, encompassing a wide range of problems that require systematic thinking and step-by-step reasoning, ultimately enabling LLMs to tackle complex real-world challenges that involve logical deduction and quantitative analysis.

Code

Code is another challenging domain for LLMs that lack specialized pre-training. Code datasets, containing diverse programming language examples, are used to fine-tune LLMs and enhance their ability to understand, generate, and analyze code, enabling them to serve as effective coding assistants.