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--- |
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dataset_info: |
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features: |
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- name: id |
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dtype: string |
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|
- name: sentence |
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dtype: string |
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|
- name: context |
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|
dtype: string |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': none |
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'1': used |
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'2': created |
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'3': mention |
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splits: |
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- name: train |
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num_bytes: 1417050 |
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|
num_examples: 2627 |
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|
- name: validation |
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|
num_bytes: 178889 |
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|
num_examples: 328 |
|
|
- name: test |
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|
num_bytes: 177860 |
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|
num_examples: 328 |
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|
download_size: 1050344 |
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dataset_size: 1773799 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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- split: validation |
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path: data/validation-* |
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- split: test |
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path: data/test-* |
|
|
--- |
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|
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# Software intent Softcite SoMeSci CZI dataset |
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This is a dataset for citation intent classification in software papers. This is just Hugging Face dataset wrapper around the original dataset. |
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The original dataset is available at https://docs.google.com/spreadsheets/d/1yY1vB_v-1FjVV-VQ8rye84wB8dN5kGh8da4fom8KQwk/edit?gid=1956523166#gid=1956523166 . |
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The GitHub repository with the original GitHub repository is available at https://github.com/karacolada/SoftwareImpactHackathon2023_SoftwareCitationIntent. |
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The train, validation, and test splits are not provided in the original dataset, thus we made those splits ourselves. |
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## Fields description |
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Both configurations contain the following fields: |
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- `id`: The unique identifier of the example. |
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- `orig_id`: The original identifier of the example. |
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- `sentence`: Sentence containing the citation. |
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- `context`: Broader context of the sentence. (<leading sentence><citing sentence>< trailing sentence>) |
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- `label`: Citation intent label. |
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- `0`: No citation intent. |
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- `1`: used |
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- `2`: created |
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- `3`: mention |
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## Citation |
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```bibtex |
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@inproceedings{Istrate2024ScientificSC, |
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title={Scientific Software Citation Intent Classification Using Large Language Models}, |
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author={Ana-Maria Istrate and Joshua Fisher and Xinyu Yang and Kara Moraw and Kai Li and Donghui Li and Martin Klein}, |
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booktitle={NSLP}, |
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year={2024}, |
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url={https://api.semanticscholar.org/CorpusID:271971376} |
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} |
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``` |
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|