Update README.md

README.md

@@ -4,9 +4,9 @@ license: apache-2.0
 
 ## CPT Data Pool
 
-This repository hosts a large-scale CPT corpus designed for continual pre-training of domain-specific large language models. It serves as a data component of the 👉[F2D-LLM](https://github.com/zhejianglab/Foundation2Domain-LLM-Training) framework, an end-to-end pipeline for domain-specific LLM training.
+This repository hosts a large-scale CPT corpus designed for continual pre-training of domain-specific large language models. It serves as a data component of the 👉[F2D-LLM](https://github.com/GeoGPT-Research-Project/Foundation2Domain-LLM-Training) framework, an end-to-end pipeline for domain-specific LLM training.
 
-For detailed data processing, scoring methods, and sampling strategies, please refer to the official 👉[GitHub repo](https://github.com/zhejianglab/Foundation2Domain-LLM-Training/blob/main/src/data_tools/zjcpt_mix_ratio/Readme.md).
+For detailed data processing, scoring methods, and sampling strategies, please refer to the official 👉[GitHub repo](https://github.com/GeoGPT-Research-Project/Foundation2Domain-LLM-Training/blob/main/src/data_tools/zjcpt_mix_ratio/Readme.md).
 
 Overall, the dataset contains approximately **271B tokens** and is stored as `jsonl` files with a unified schema, covering mathematical reasoning, programming code, academic knowledge and general knowledge. All data sources are annotated with quality score tags and the sampling ratios below have been experimentally validated as an effective mix.