File size: 3,696 Bytes
2bcba88
 
ff1d52b
b778327
 
 
 
 
 
 
 
fd17def
 
 
 
b778327
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
fd17def
ff1d52b
b778327
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
ff1d52b
fd17def
b778327
 
 
 
 
 
2bcba88
cad01c5
2bcba88
279e4d1
2bcba88
279e4d1
2bcba88
fd17def
2bcba88
 
279e4d1
2bcba88
 
 
 
 
279e4d1
2bcba88
279e4d1
2bcba88
 
 
 
 
 
 
 
 
 
b778327
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
---
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
    num_bytes: 881290
    num_examples: 171
  - name: en.layer2.validation
    num_bytes: 101379
    num_examples: 19
  - name: en.layer3
    num_bytes: 7672589
    num_examples: 9779
  - name: es.layer1
    num_bytes: 1398186
    num_examples: 81
  - name: es.layer2
    num_bytes: 907515
    num_examples: 162
  - name: es.layer2.validation
    num_bytes: 103936
    num_examples: 18
  - name: es.layer3
    num_bytes: 6656630
    num_examples: 1876
  - name: eu.layer1
    num_bytes: 2217479
    num_examples: 90
  - name: eu.layer2
    num_bytes: 306291
    num_examples: 111
  - name: eu.layer2.validation
    num_bytes: 95276
    num_examples: 10
  - name: eu.layer3
    num_bytes: 4656179
    num_examples: 1232
  - name: fr.layer1
    num_bytes: 1474138
    num_examples: 81
  - name: fr.layer2
    num_bytes: 905084
    num_examples: 168
  - name: fr.layer2.validation
    num_bytes: 101701
    num_examples: 18
  - name: fr.layer3
    num_bytes: 457927491
    num_examples: 25740
  - name: it.layer1
    num_bytes: 1036560
    num_examples: 86
  - name: it.layer2
    num_bytes: 888138
    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
language:
- es
- eu
- en
- fr
- it
---

# 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},
}
```