Update README.md

README.md

@@ -35,10 +35,10 @@ Each sample consists of:
 
 - Paper: [AstroM<sup>3</sup>: A self-supervised multimodal model for astronomy](https://arxiv.org/abs/2411.08842)
 - Code Repository: [GitHub: AstroM<sup>3</sup>](https://github.com/MeriDK/AstroM3/)
-- Processed Data: [MeriDK/AstroM3Processed](https://huggingface.co/datasets/MeriDK/AstroM3Processed/)
+- Processed Data: [AstroMLCore/AstroM3Processed](https://huggingface.co/datasets/AstroMLCore/AstroM3Processed/)
 
 **Note:** The processed dataset `AstroM3Processed` is created from the original dataset `AstroM3Dataset` 
-by using [preprocess.py](https://huggingface.co/datasets/MeriDK/AstroM3Dataset/blob/main/preprocess.py)
+by using [preprocess.py](https://huggingface.co/datasets/AstroMLCore/AstroM3Dataset/blob/main/preprocess.py)
 
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@@ -95,7 +95,7 @@ To load the dataset using the Hugging Face `datasets` library:
 from datasets import load_dataset
 
 # Load the default full dataset with seed 42
-dataset = load_dataset("MeriDK/AstroM3Dataset", trust_remote_code=True)
+dataset = load_dataset("AstroMLCore/AstroM3Dataset", trust_remote_code=True)
 ```
 
 The default configuration is **full_42** (entire dataset with seed 42).
@@ -105,7 +105,7 @@ To load a specific subset and seed, use {subset}_{seed} as the name:
 from datasets import load_dataset
 
 # Load the 25% subset sampled using seed 123
-dataset = load_dataset("MeriDK/AstroM3Dataset", name="sub25_123", trust_remote_code=True)
+dataset = load_dataset("AstroMLCore/AstroM3Dataset", name="sub25_123", trust_remote_code=True)
 ```
 
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