| language: | |
| - en | |
| bigbio_language: | |
| - English | |
| license: other | |
| multilinguality: monolingual | |
| bigbio_license_shortname: ISC | |
| pretty_name: CPI | |
| homepage: https://github.com/KerstenDoering/CPI-Pipeline | |
| bigbio_pubmed: True | |
| bigbio_public: True | |
| bigbio_tasks: | |
| - NAMED_ENTITY_RECOGNITION | |
| - NAMED_ENTITY_DISAMBIGUATION | |
| - RELATION_EXTRACTION | |
| # Dataset Card for CPI | |
| ## Dataset Description | |
| - **Homepage:** https://github.com/KerstenDoering/CPI-Pipeline | |
| - **Pubmed:** True | |
| - **Public:** True | |
| - **Tasks:** NER,NED,RE | |
| The compound-protein relationship (CPI) dataset consists of 2,613 sentences | |
| from abstracts containing annotations of proteins, small molecules, and their | |
| relationships. | |
| ## Citation Information | |
| ``` | |
| @article{doring2020automated, | |
| title={Automated recognition of functional compound-protein relationships in literature}, | |
| author={D{\"o}ring, Kersten and Qaseem, Ammar and Becer, Michael and Li, Jianyu and Mishra, Pankaj and Gao, Mingjie and Kirchner, Pascal and Sauter, Florian and Telukunta, Kiran K and Moumbock, Aur{\'e}lien FA and others}, | |
| journal={Plos one}, | |
| volume={15}, | |
| number={3}, | |
| pages={e0220925}, | |
| year={2020}, | |
| publisher={Public Library of Science San Francisco, CA USA} | |
| } | |
| ``` | |