CNP / README.md
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---
task_categories:
- text-classification
language:
- en
size_categories:
- 10M<n<100M
extra_gated_prompt: "By requesting access to this dataset, you agree to properly reference it in your work."
extra_gated_fields:
Company or Institution: text
Country: country
I want to use this dataset for:
type: select
options:
- Research
- Education
- label: Other
value: other
---
---
# Claims in NLP Papers (CNP)
The present data repository acts as a complement of this [GitHub repository](https://github.com/ClementineBleuze/claims-in-NLP.git) containing work about the analysis of claims in NLP papers.
It is also related to this [SciBERT model for claim category classification](https://huggingface.co/ClementineBleuze/scibert_prefix_cont_ll_SEP).
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}
}
```