---
dataset_info:
  features:
    - name: id
      dtype: string
    - name: document_id
      dtype: int32
    - name: text
      dtype: string
    - name: passages
      list:
        - name: id
          dtype: string
        - name: text
          dtype: string
        - name: offsets
          list: int32
    - name: entities
      list:
        - name: id
          dtype: string
        - name: type
          dtype: string
        - name: text
          dtype: string
        - name: offsets
          list: int32
        - name: semantic_type_id
          dtype: string
        - name: role
          dtype: string
    - name: relations
      list:
        - name: id
          dtype: string
        - name: type
          dtype: string
        - name: contextualAspect
          dtype: string
        - name: contextualModality
          dtype: string
        - name: degree
          dtype: string
        - name: docTimeRel
          dtype: string
        - name: eventType
          dtype: string
        - name: permanence
          dtype: string
        - name: polarity
          dtype: string
        - name: functionInDocument
          dtype: string
        - name: timex3Class
          dtype: string
        - name: value
          dtype: string
        - name: concept_1
          dtype: string
        - name: concept_2
          dtype: string
  config_name: e3c_source
  splits:
    - name: en.layer1
      num_bytes: 1645819
      num_examples: 84
    - name: en.layer2
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      num_examples: 171
    - name: en.layer2.validation
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    - name: en.layer3
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    - name: es.layer1
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    - name: es.layer2
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      num_examples: 162
    - name: es.layer2.validation
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    - name: es.layer3
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      num_examples: 1876
    - name: eu.layer1
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      num_examples: 90
    - name: eu.layer2
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    - name: eu.layer2.validation
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    - name: eu.layer3
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    - name: fr.layer1
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      num_examples: 81
    - name: fr.layer2
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      num_examples: 168
    - name: fr.layer2.validation
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      num_examples: 18
    - name: fr.layer3
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    - name: it.layer1
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      num_examples: 86
    - name: it.layer2
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      num_examples: 174
    - name: it.layer2.validation
      num_bytes: 99549
      num_examples: 18
    - name: it.layer3
      num_bytes: 86243680
      num_examples: 10213
  download_size: 230213492
  dataset_size: 575318910
---

# Dataset Card for E3C

## Dataset Description

- **Homepage:** https://github.com/hltfbk/E3C-Corpus
- **PubMed** False
- **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},
}
```