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README.md
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## Dataset Description
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https://huggingface.co/datasets/
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### Dataset Summary
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The dataset is filtered strictly for ArXiv papers, including the full text for each paper. Github links have been extracted from each paper to aid in the development of [
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### How to use it
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```python
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from datasets import load_dataset
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ds = load_dataset("
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# dataset streaming (will only download the data as needed)
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ds = load_dataset("
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```
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## Dataset Structure
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## Additional Information
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### Dataset Curators
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Matthew Kenney,
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### Citation Information
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```
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## Dataset Description
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https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_s2orc_parsed
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### Dataset Summary
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AlgorithmicResearchGroup/arxiv_s2orc_parsed is a subset of the [AllenAI S2ORC dataset](https://github.com/allenai/s2orc), a general-purpose corpus for NLP and text mining research over scientific papers,
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The dataset is filtered strictly for ArXiv papers, including the full text for each paper. Github links have been extracted from each paper to aid in the development of [AlgorithmicResearchGroup/arxiv_python_research_code](https://huggingface.co/datasets/AlgorithmicResearchGroup/arxiv_python_research_code)
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### How to use it
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```python
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from datasets import load_dataset
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ds = load_dataset("AlgorithmicResearchGroup/arxiv_s2orc_parsed", split="train")
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# dataset streaming (will only download the data as needed)
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ds = load_dataset("AlgorithmicResearchGroup/arxiv_s2orc_parsed", streaming=True, split="train")
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```
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## Dataset Structure
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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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```
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