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upload hub_repos/nlmchem/README.md to hub from bigbio repo

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+
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+ ---
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+ language:
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+ - en
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+ license: cc0-1.0
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+ license_bigbio_shortname: CC0_1p0
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+ pretty_name: NLM-Chem
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+ ---
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+
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+
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+ # Dataset Card for NLM-Chem
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-2
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+ - **Pubmed:** True
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+ - **Public:** True
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+ - **Tasks:** Named Entity Recognition, Named Entity Disambiguation, Text Classification
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+
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+
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+ NLM-Chem corpus consists of 150 full-text articles from the PubMed Central Open Access dataset,
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+ comprising 67 different chemical journals, aiming to cover a general distribution of usage of chemical
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+ names in the biomedical literature.
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+ Articles were selected so that human annotation was most valuable (meaning that they were rich in bio-entities,
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+ and current state-of-the-art named entity recognition systems disagreed on bio-entity recognition.
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+
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+
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+
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+ ## Citation Information
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+
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+ ```
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+ @Article{islamaj2021nlm,
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+ title={NLM-Chem, a new resource for chemical entity recognition in PubMed full text literature},
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+ author={Islamaj, Rezarta and Leaman, Robert and Kim, Sun and Kwon, Dongseop and Wei, Chih-Hsuan and Comeau, Donald C and Peng, Yifan and Cissel, David and Coss, Cathleen and Fisher, Carol and others},
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+ journal={Scientific Data},
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+ volume={8},
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+ number={1},
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+ pages={1--12},
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+ year={2021},
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+ publisher={Nature Publishing Group}
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+ }
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+
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+ ```