Update README.md

README.md

@@ -30,11 +30,11 @@ pretty_name: arxiv_research_code
 size_categories:
 - 10B<n<100B
 ---
-# Dataset Card for "ArtifactAI/arxiv_research_code"
+# Dataset Card for "AlgorithmicResearchGroup/arxiv_research_code"
 
 ## Dataset Description
 
-https://huggingface.co/datasets/ArtifactAI/arxiv_research_code
+https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_research_code
 
 
 ### Dataset Summary
@@ -46,10 +46,10 @@ ArtifactAI/arxiv_research_code contains over 21.8GB of source code files referen
 from datasets import load_dataset
 
 # full dataset (21.8GB of data)
-ds = load_dataset("ArtifactAI/arxiv_research_code", split="train")
+ds = load_dataset("AlgorithmicResearchGroup/arxiv_research_code", split="train")
 
 # dataset streaming (will only download the data as needed)
-ds = load_dataset("ArtifactAI/arxiv_research_code", streaming=True, split="train")
+ds = load_dataset("AlgorithmicResearchGroup/arxiv_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
 ```