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README.md
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---
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dataset_info:
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features:
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- name: title
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dtype: string
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- name: abstract
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dtype: string
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splits:
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- name: train
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num_bytes: 130808836.19633989
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num_examples: 105832
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- name: test
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num_bytes: 14535413.803660113
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num_examples: 11760
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download_size: 81252051
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dataset_size: 145344250
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language:
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- en
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pretty_name: ML ArXiv Papers
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task_categories:
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- summarization
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- text2text-generation
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tags:
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- arxiv
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- ML
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---
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# Dataset Card for "ml-arxiv-papers"
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This is a dataset containing ML ArXiv papers. The dataset is a version of the original one from [CShorten](https://huggingface.co/datasets/CShorten/ML-ArXiv-Papers), which is a part of the ArXiv papers dataset from [Kaggle](https://www.kaggle.com/datasets/Cornell-University/arxiv).
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Three steps are made to process the source data:
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1. useless columns removal;
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2. train-test split;
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3. '\n' removal and trimming spaces on sides of the text.
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[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
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