--- language: - en bigbio_language: - English license: unknown multilinguality: monolingual bigbio_license_shortname: UNKNOWN pretty_name: EBM NLP homepage: https://github.com/bepnye/EBM-NLP bigbio_pubmed: true bigbio_public: true bigbio_tasks: - NAMED_ENTITY_RECOGNITION dataset_info: config_name: ebm_pico_source features: - name: doc_id dtype: string - name: text dtype: string - name: entities list: - name: text dtype: string - name: annotation_type dtype: string - name: fine_grained_annotation_type dtype: string - name: start dtype: int64 - name: end dtype: int64 splits: - name: train num_bytes: 13607728 num_examples: 4746 - name: test num_bytes: 565331 num_examples: 187 download_size: 5915453 dataset_size: 14173059 configs: - config_name: ebm_pico_source data_files: - split: train path: ebm_pico_source/train-* - split: test path: ebm_pico_source/test-* default: true --- # Dataset Card for EBM NLP ## Dataset Description - **Homepage:** https://github.com/bepnye/EBM-NLP - **Pubmed:** True - **Public:** True - **Tasks:** NER This corpus release contains 4,993 abstracts annotated with (P)articipants, (I)nterventions, and (O)utcomes. Training labels are sourced from AMT workers and aggregated to reduce noise. Test labels are collected from medical professionals. ## Citation Information ``` @inproceedings{nye-etal-2018-corpus, title = "A Corpus with Multi-Level Annotations of Patients, Interventions and Outcomes to Support Language Processing for Medical Literature", author = "Nye, Benjamin and Li, Junyi Jessy and Patel, Roma and Yang, Yinfei and Marshall, Iain and Nenkova, Ani and Wallace, Byron", booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)", month = jul, year = "2018", address = "Melbourne, Australia", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/P18-1019", doi = "10.18653/v1/P18-1019", pages = "197--207", } ```