copy of original version from huggingface.co/bigbio/drugprot

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dataset_builders/hf/drugprot/README.md

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+
+---
+language: 
+- en
+bigbio_language: 
+- English
+license: cc-by-4.0
+multilinguality: monolingual
+bigbio_license_shortname: CC_BY_4p0
+pretty_name: DrugProt
+homepage: https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
+bigbio_pubmed: True
+bigbio_public: True
+bigbio_tasks: 
+- NAMED_ENTITY_RECOGNITION
+- RELATION_EXTRACTION
+---
+
+
+# Dataset Card for DrugProt
+
+## Dataset Description
+
+- **Homepage:** https://biocreative.bioinformatics.udel.edu/tasks/biocreative-vii/track-1/
+- **Pubmed:** True
+- **Public:** True
+- **Tasks:** NER,RE
+
+
+The DrugProt corpus consists of a) expert-labelled chemical and gene mentions, and (b) all binary relationships
+between them corresponding to a specific set of biologically relevant relation types. The corpus was introduced
+in context of the BioCreative VII Track 1 (Text mining drug and chemical-protein interactions).
+
+
+
+## Citation Information
+
+```
+@inproceedings{miranda2021overview,
+  title={Overview of DrugProt BioCreative VII track: quality evaluation and large scale text mining of \
+        drug-gene/protein relations},
+  author={Miranda, Antonio and Mehryary, Farrokh and Luoma, Jouni and Pyysalo, Sampo and Valencia, Alfonso \
+        and Krallinger, Martin},
+  booktitle={Proceedings of the seventh BioCreative challenge evaluation workshop},
+  year={2021}
+}
+
+```