| language: | |
| - en | |
| bigbio_language: | |
| - English | |
| license: unknown | |
| multilinguality: monolingual | |
| bigbio_license_shortname: UNKNOWN | |
| pretty_name: SciCite | |
| homepage: https://allenai.org/data/scicite | |
| bigbio_pubmed: False | |
| bigbio_public: True | |
| bigbio_tasks: | |
| - TEXT_CLASSIFICATION | |
| # Dataset Card for SciCite | |
| ## Dataset Description | |
| - **Homepage:** https://allenai.org/data/scicite | |
| - **Pubmed:** False | |
| - **Public:** True | |
| - **Tasks:** Text Classification | |
| SciCite is a dataset of 11K manually annotated citation intents based on | |
| citation context in the computer science and biomedical domains. | |
| ## Citation Information | |
| ``` | |
| @inproceedings{cohan:naacl19, | |
| author = {Arman Cohan and Waleed Ammar and Madeleine van Zuylen and Field Cady}, | |
| title = {Structural Scaffolds for Citation Intent Classification in Scientific Publications}, | |
| booktitle = {Conference of the North American Chapter of the Association for Computational Linguistics}, | |
| year = {2019}, | |
| url = {https://aclanthology.org/N19-1361/}, | |
| doi = {10.18653/v1/N19-1361}, | |
| } | |
| ``` | |