Chain-of-Thought Hub

The credibility of chain-of-thought hub comes from the very carefully mediculously picked datasets and models that can clearly help the development of LLMs. The resutls and scripts from Chain-of-thought Hub is being used and referred by leading industrial and academic organizations in the space of large language models. We devide the tasks into three categories: main, experimental, and long-context.
Main: datasets that are stable and consistently referred by places where LLMs are built.
Experimental: datasets that has the potential to test future LLM capabilities.
Long-context: datasets that require reasoning over very long context, an important direction of future LLMs.