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@@ -38,7 +38,7 @@ size_categories:
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  # Dataset card for ArtifactAI/arxiv_cplusplus_research_code
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  ## Dataset Description
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- https://huggingface.co/datasets/ArtifactAI/arxiv_cplusplus_research_code
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  ### Dataset Summary
@@ -50,10 +50,10 @@ ArtifactAI/arxiv_python_research_code contains over 10.6GB of source code files
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  from datasets import load_dataset
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  # full dataset (10.6GB of data)
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- ds = load_dataset("ArtifactAI/arxiv_cplusplus_research_code", split="train")
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  # dataset streaming (will only download the data as needed)
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- ds = load_dataset("ArtifactAI/arxiv_cplusplus_research_code", streaming=True, split="train")
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  for sample in iter(ds): print(sample["code"])
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  ```
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  ## Additional Information
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  ### Dataset Curators
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- Matthew Kenney, Artifact AI, matt@artifactai.com
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  ### Citation Information
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  ```
 
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  # Dataset card for ArtifactAI/arxiv_cplusplus_research_code
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  ## Dataset Description
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+ https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_cplusplus_research_code
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  ### Dataset Summary
 
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  from datasets import load_dataset
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  # full dataset (10.6GB of data)
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+ ds = load_dataset("AlgorithmicResearchGroup/arxiv_cplusplus_research_code", split="train")
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  # dataset streaming (will only download the data as needed)
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+ ds = load_dataset("AlgorithmicResearchGroup/arxiv_cplusplus_research_code", streaming=True, split="train")
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  for sample in iter(ds): print(sample["code"])
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  ```
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  ## Additional Information
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  ### Dataset Curators
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+ Matthew Kenney, AlgorithmicResearchGroup, matt@algorithmicresearchgroup.com
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  ### Citation Information
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  ```