metadata

dataset_info:
  features:
    - name: id
      dtype: string
    - name: sentence
      dtype: string
    - name: context
      dtype: string
    - name: label
      dtype:
        class_label:
          names:
            '0': none
            '1': used
            '2': created
            '3': mention
  splits:
    - name: train
      num_bytes: 1417050
      num_examples: 2627
    - name: validation
      num_bytes: 178889
      num_examples: 328
    - name: test
      num_bytes: 177860
      num_examples: 328
  download_size: 1050344
  dataset_size: 1773799
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Software intent Softcite SoMeSci CZI dataset

This is a dataset for citation intent classification in software papers. This is just Hugging Face dataset wrapper around the original dataset. The original dataset is available at https://docs.google.com/spreadsheets/d/1yY1vB_v-1FjVV-VQ8rye84wB8dN5kGh8da4fom8KQwk/edit?gid=1956523166#gid=1956523166 . The GitHub repository with the original GitHub repository is available at https://github.com/karacolada/SoftwareImpactHackathon2023_SoftwareCitationIntent.

The train, validation, and test splits are not provided in the original dataset, thus we made those splits ourselves.

Fields description

Both configurations contain the following fields:

id: The unique identifier of the example.
orig_id: The original identifier of the example.
sentence: Sentence containing the citation.
context: Broader context of the sentence. (< trailing sentence>)
label: Citation intent label.
- 0: No citation intent.
- 1: used
- 2: created
- 3: mention

Citation

@inproceedings{Istrate2024ScientificSC,
  title={Scientific Software Citation Intent Classification Using Large Language Models},
  author={Ana-Maria Istrate and Joshua Fisher and Xinyu Yang and Kara Moraw and Kai Li and Donghui Li and Martin Klein},
  booktitle={NSLP},
  year={2024},
  url={https://api.semanticscholar.org/CorpusID:271971376}
}