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README.md

@@ -15,7 +15,7 @@ tags:
   - Complex Structure Prediction
   - AlphaFold3
 datasets:
-  - OneScience-Sugon/AlphaFold3_dataset
+  - OneScience-Group/AlphaFold3_dataset
 ---
 
 <p align="center">
@@ -33,7 +33,7 @@ https://www.nature.com/articles/s41586-024-07487-w
 
 # Model Description
 
-AlphaFold 3 uses a Pairformer and a diffusion model to predict biomolecular complex structures. This model package provides a JAX / Flax inference implementation and database-search scripts, together with the accompanying Hugging Face dataset `OneScience-Sugon/AlphaFold3_dataset`.
+AlphaFold 3 uses a Pairformer and a diffusion model to predict biomolecular complex structures. This model package provides a JAX / Flax inference implementation and database-search scripts, together with the accompanying Hugging Face dataset `OneScience-Group/AlphaFold3_dataset`.
 
 # Use Cases
 
@@ -84,7 +84,7 @@ hy-smi
 ### Download the Model Package
 
 ```bash
-hf download --model OneScience-Sugon/AlphaFold3 --local-dir ./AlphaFold3
+hf download --model OneScience-Group/AlphaFold3 --local-dir ./AlphaFold3
 cd AlphaFold3
 ```
 
@@ -115,10 +115,10 @@ python -m onescience.flax_models.alphafold3.build_data
 
 ### Training and Inference Data Overview
 
-The OneScience community has uploaded the complete data required for AlphaFold 3 inference and database searches to Hugging Face: [OneScience-Sugon/AlphaFold3_dataset](https://huggingface.co/datasets/OneScience-Sugon/AlphaFold3_dataset). This model package does not include a training entry point; the dataset is primarily used to construct MSA / template features and perform database searches before inference.
+The OneScience community has uploaded the complete data required for AlphaFold 3 inference and database searches to Hugging Face: [OneScience-Group/AlphaFold3_dataset](https://huggingface.co/datasets/OneScience-Group/AlphaFold3_dataset). This model package does not include a training entry point; the dataset is primarily used to construct MSA / template features and perform database searches before inference.
 
 ```bash
-hf download --dataset OneScience-Sugon/AlphaFold3_dataset --local-dir ./data/alphafold3
+hf download --dataset OneScience-Group/AlphaFold3_dataset --local-dir ./data/alphafold3
 ```
 ### Model Weights
 
@@ -234,7 +234,7 @@ This repository provides two examples:
 - `inputs/7r6r_data.json`: contains sequence, MSA, and template information; suitable for direct inference.
 - `inputs/t1119_search.json`: contains only sequences; suitable for database-search pipeline validation.
 
-It is recommended to download the full Hugging Face dataset `OneScience-Sugon/AlphaFold3_dataset` to `data/alphafold3/` under the model package. The relative directory structure expected by the database-search pipeline is as follows:
+It is recommended to download the full Hugging Face dataset `OneScience-Group/AlphaFold3_dataset` to `data/alphafold3/` under the model package. The relative directory structure expected by the database-search pipeline is as follows:
 
 ```text
 data/