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: clinical_entity_cuid
      sequence: string
    - 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: 1632165
      num_examples: 1520
    - name: en.layer2
      num_bytes: 3263885
      num_examples: 2873
    - name: en.layer2.validation
      num_bytes: 371196
      num_examples: 334
    - name: es.layer1
      num_bytes: 1599169
      num_examples: 1134
    - name: es.layer2
      num_bytes: 3192361
      num_examples: 2347
    - name: es.layer2.validation
      num_bytes: 352193
      num_examples: 261
    - name: eu.layer1
      num_bytes: 1931109
      num_examples: 3126
    - name: eu.layer2
      num_bytes: 1066405
      num_examples: 1594
    - name: eu.layer2.validation
      num_bytes: 279306
      num_examples: 468
    - name: fr.layer1
      num_bytes: 1610663
      num_examples: 1109
    - name: fr.layer2
      num_bytes: 3358033
      num_examples: 2389
    - name: fr.layer2.validation
      num_bytes: 361816
      num_examples: 293
    - name: it.layer1
      num_bytes: 1633613
      num_examples: 1146
    - name: it.layer2
      num_bytes: 3373977
      num_examples: 2436
    - name: it.layer2.validation
      num_bytes: 366932
      num_examples: 275
  download_size: 230213492
  dataset_size: 24392823
language:
  - bqe
  - es
  - en
  - fr
  - it

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},
}