Update README.md

README.md

@@ -34,22 +34,22 @@ size_categories:
 
 ## Dataset Description
 
-https://huggingface.co/datasets/ArtifactAI/arxiv_python_research_code
+https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_python_research_code
 
 
 ### Dataset Summary
 
-ArtifactAI/arxiv_python_research_code contains over 4.13GB of  source code files referenced strictly in ArXiv papers. The dataset serves as a curated dataset for Code LLMs.
+AlgorithmicResearchGroup/arxiv_python_research_code contains over 4.13GB of  source code files referenced strictly in ArXiv papers. The dataset serves as a curated dataset for Code LLMs.
 
 ### How to use it
 ```python
 from datasets import load_dataset
 
 # full dataset (4.13GB of data)
-ds = load_dataset("ArtifactAI/arxiv_python_research_code", split="train")
+ds = load_dataset("AlgorithmicResearchGroup/arxiv_python_research_code", split="train")
 
 # dataset streaming (will only download the data as needed)
-ds = load_dataset("ArtifactAI/arxiv_python_research_code", streaming=True, split="train")
+ds = load_dataset("AlgorithmicResearchGroup/arxiv_python_research_code", streaming=True, split="train")
 for sample in iter(ds): print(sample["code"])
 ```
 
@@ -87,7 +87,7 @@ The released dataset may contain sensitive information such as emails, IP addres
 ## Additional Information
 
 ### Dataset Curators
-Matthew Kenney, Artifact AI, matt@artifactai.com
+Matthew Kenney, AlgorithmicResearchGroup, matt@algorithmicresearchgroup.com
 
 ### Citation Information
 ```