README.md

metadata

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",
}