Purpose
Awesome-Code-LLM is a curated list for compiling research on language models for code (and other software engineering activities), along with related datasets. Its goal is to centrally organize the scattered research and data resources in the field of code large language models for easy reference.
Main Capabilities
According to the available information, the core content of this repository is:
- Collecting research work related to code language models;
- Covering software engineering activities beyond code;
- Organizing datasets related to the above research.
How to Use
This project is provided as a GitHub repository, and its folders and files can be browsed through the repository page. The materials do not provide specific installation commands, code examples, or usage steps, so these contents are not provided for now.
Applicable Scenarios
Suitable for people who need to understand or investigate the progress of code large language model research and find related datasets, such as researchers, developers, and learners interested in Code LLM.
Limitations
The available materials only explain that this is a curated list and do not provide information about specific included entries, update frequency, contribution methods, license, or charging status. These contents are not provided for now.
