README.md

metadata

task_categories:
  - text-classification
language:
  - en
size_categories:
  - 10M<n<100M
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  By requesting access to this dataset, you agree to properly reference it in
  your work.
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      - Research
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---

Claims in NLP Papers (CNP)

The present data repository acts as a complement of this GitHub repository containing work about the analysis of claims in NLP papers. It is also related to this SciBERT model for claim category classification.

The dataset includes :

• papers.csv: all the metadata about the papers included in our corpus
• sentences.csv: all the sentences of the corpus + their annotations
• XML files of the papers of the corpus (obtained after parsing their PDF versions)

Contact

If you have requests or questions about this repository, please contact clementine.bleuze@univ-lorraine.fr.

Citation

You may reference this corpus using the following citation :

@Misc{CNP,
  author = {Bleuze, Clémentine and Ducel, Fanny and Amblard, Maxime and Fort, Karën},
  title =  {A corpus of annotated claims in NLP papers},
  howpublished = {HuggingFace},
  year = {2024},
  url =  {https://huggingface.co/datasets/ClementineBleuze/CNP}
  }

It is largely based on the ACL OCL corpus by Rohatgi et al.:

@Misc{acl_anthology_corpus,
  author = {Shaurya Rohatgi},
  title =  {ACL Anthology Corpus with Full Text},
  howpublished = {Github},
  year = {2022},
  url =  {https://github.com/shauryr/ACL-anthology-corpus}
  }

And it also used data from the ArXiv dataset on Kaggle:

@misc{arxiv_org_submitters_2024,
    title={arXiv Dataset},
    url={https://www.kaggle.com/dsv/7548853},
    DOI={10.34740/KAGGLE/DSV/7548853},
    publisher={Kaggle},
    author={arXiv.org submitters},
    year={2024}
}