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--- |
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license: cc-by-nc-sa-4.0 |
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size_categories: |
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- 10K<n<100K |
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--- |
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## Arxiver Dataset |
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Arxiver consists of 63,357 [arXiv](https://arxiv.org/) papers converted to multi-markdown (**.mmd**) format. Our dataset includes original arXiv article IDs, titles, abstracts, authors, publication dates, URLs and corresponding markdown files published between January 2023 and October 2023. |
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We hope our dataset will be useful for various applications such as semantic search, domain specific language modeling, question answering and summarization. |
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## Curation |
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The Arxiver dataset is created using a neural OCR - [Nougat](https://facebookresearch.github.io/nougat/). After OCR processing, we apply custom text processing steps to refine the data. This includes extracting author information, removing reference sections, and performing additional cleaning and formatting. |
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## Using Arxiver |
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You can easily download and use the arxiver dataset with Hugging Face's [datasets](https://huggingface.co/datasets) library. |
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```py |
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from datasets import load_dataset |
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# whole dataset takes 1.44GB |
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dataset = load_dataset("neuralwork/arxiver") |
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print(dataset) |
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``` |
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Alternatively, you can stream the dataset to save disk space or to partially download the dataset: |
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```py |
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from datasets import load_dataset |
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dataset = load_dataset("neuralwork/arxiver", streaming=True) |
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print(dataset) |
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print(next(iter(dataset['train']))) |
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``` |
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## References |
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The original articles are maintained by [arXiv](https://arxiv.org/) and copyrighted to the original authors, please refer to the arXiv license information [page](https://info.arxiv.org/help/license/index.html) for details. We release our dataset with a Creative Commons Attribution-Noncommercial-ShareAlike (CC BY-NC-SA 4.0) license, if you use this dataset in your research or project, please cite it as follows: |
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``` |
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@misc{acar_arxiver2024, |
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author = {Alican Acar, Alara Dirik, Muhammet Hatipoglu}, |
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title = {ArXiver}, |
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year = {2024}, |
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publisher = {Hugging Face}, |
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howpublished = {\url{https://huggingface.co/datasets/neuralwork/arxiver}} |
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} |
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``` |