README.md

metadata

dataset_info:
  features:
    - name: text
      dtype: string
    - name: tokens
      sequence: string
    - name: tokens_offsets
      sequence:
        sequence: int32
    - name: clinical_entity_tags
      sequence:
        class_label:
          names:
            '0': O
            '1': B-CLINENTITY
            '2': I-CLINENTITY
    - name: temporal_information_tags
      sequence:
        class_label:
          names:
            '0': O
            '1': B-EVENT
            '2': B-ACTOR
            '3': B-BODYPART
            '4': B-TIMEX3
            '5': B-RML
            '6': I-EVENT
            '7': I-ACTOR
            '8': I-BODYPART
            '9': I-TIMEX3
            '10': I-RML
  config_name: e3c
  splits:
    - name: en.layer1
      num_bytes: 1280534
      num_examples: 1520
    - name: en.layer2
      num_bytes: 2566638
      num_examples: 2873
    - name: es.layer1
      num_bytes: 1262006
      num_examples: 1134
    - name: es.layer2
      num_bytes: 2524461
      num_examples: 2347
    - name: eu.layer1
      num_bytes: 1537670
      num_examples: 3126
    - name: eu.layer2
      num_bytes: 853766
      num_examples: 1594
    - name: fr.layer1
      num_bytes: 1275362
      num_examples: 1109
    - name: fr.layer2
      num_bytes: 2581993
      num_examples: 2389
    - name: it.layer1
      num_bytes: 1299388
      num_examples: 1146
    - name: it.layer2
      num_bytes: 2697483
      num_examples: 2436
  download_size: 230213492
  dataset_size: 17879301

Dataset Card for E3C

Dataset Description

• Homepage: https://github.com/hltfbk/E3C-Corpus
• Public: True
• Tasks: NER,RE

The European Clinical Case Corpus (E3C) project aims at collecting and
annotating a large corpus of clinical documents in five European languages (Spanish,
Basque, English, French and Italian), which will be freely distributed. Annotations
include temporal information, to allow temporal reasoning on chronologies, and
information about clinical entities based on medical taxonomies, to be used for semantic reasoning.

Citation Information

@report{Magnini2021,
    author = {Bernardo Magnini and Begoña Altuna and Alberto Lavelli and Manuela Speranza
    and Roberto Zanoli and Fondazione Bruno Kessler},
    keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},
    title = {The E3C Project:
    European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},
    url = {https://uts.nlm.nih.gov/uts/umls/home},
    year = {2021},
}