Hugging Face's logo

Datasets:
bio-datasets
/
e3c

Dataset card Files Community
3
smeoni commited on
Commit
2bcba88
·
1 Parent(s): 279e4d1

Upload README.md

Browse files
Files changed (1) hide show
  1. README.md +129 -17
README.md CHANGED
@@ -1,24 +1,136 @@
1
- # 🐚 E3C Dataset for Transfer Learning, Weak Supervision and Cross-Lingual Explorations
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2
 
3
- for now, the dataset is located in this huggingface dataset repository: `smeoni/e3c` 🤫
4
- To load the dataset in a training script, use this following:
5
 
6
- ```python
7
- from datasets import load_dataset
8
- load_dataset("smeoni/e3c")
9
- ```
10
 
11
- you can also load the dataset with a local path:
 
 
12
 
13
- ```python
14
- from datasets import load_dataset
15
- load_dataset("./e3c/e3c.py")
16
- ```
 
17
 
18
- The README.md inside the e3c folder is the metadata for the dataset. The entire e3c folder in this
19
- repository is uploaded in the huggingface repository.
20
- You can generate the metadata using the following command:
21
 
22
- ```bash
23
- datasets-cli test e3c/e3c.py --save_infos --all_configs
 
 
 
 
 
 
 
 
24
  ```
 
1
+ ---
2
+ dataset_info:
3
+ - config_name: en
4
+ features:
5
+ - name: tokens
6
+ sequence: string
7
+ - name: ner_tags
8
+ sequence:
9
+ class_label:
10
+ names:
11
+ "0": O
12
+ "1": CLINENTITY
13
+ "2": EVENT
14
+ "3": ACTOR
15
+ "4": BODYPART
16
+ "5": TIMEX3
17
+ "6": RML
18
+ splits:
19
+ - name: en
20
+ num_bytes: 507939
21
+ num_examples: 1520
22
+ download_size: 230213492
23
+ dataset_size: 507939
24
+ - config_name: es
25
+ features:
26
+ - name: tokens
27
+ sequence: string
28
+ - name: ner_tags
29
+ sequence:
30
+ class_label:
31
+ names:
32
+ "0": O
33
+ "1": CLINENTITY
34
+ "2": EVENT
35
+ "3": ACTOR
36
+ "4": BODYPART
37
+ "5": TIMEX3
38
+ "6": RML
39
+ splits:
40
+ - name: es
41
+ num_bytes: 501523
42
+ num_examples: 1134
43
+ download_size: 230213492
44
+ dataset_size: 501523
45
+ - config_name: eu
46
+ features:
47
+ - name: tokens
48
+ sequence: string
49
+ - name: ner_tags
50
+ sequence:
51
+ class_label:
52
+ names:
53
+ "0": O
54
+ "1": CLINENTITY
55
+ "2": EVENT
56
+ "3": ACTOR
57
+ "4": BODYPART
58
+ "5": TIMEX3
59
+ "6": RML
60
+ splits:
61
+ - name: eu
62
+ num_bytes: 615175
63
+ num_examples: 3126
64
+ download_size: 230213492
65
+ dataset_size: 615175
66
+ - config_name: fr
67
+ features:
68
+ - name: tokens
69
+ sequence: string
70
+ - name: ner_tags
71
+ sequence:
72
+ class_label:
73
+ names:
74
+ "0": O
75
+ "1": CLINENTITY
76
+ "2": EVENT
77
+ "3": ACTOR
78
+ "4": BODYPART
79
+ "5": TIMEX3
80
+ "6": RML
81
+ splits:
82
+ - name: fr
83
+ num_bytes: 506754
84
+ num_examples: 1109
85
+ download_size: 230213492
86
+ dataset_size: 506754
87
+ - config_name: it
88
+ features:
89
+ - name: tokens
90
+ sequence: string
91
+ - name: ner_tags
92
+ sequence:
93
+ class_label:
94
+ names:
95
+ "0": O
96
+ "1": CLINENTITY
97
+ "2": EVENT
98
+ "3": ACTOR
99
+ "4": BODYPART
100
+ "5": TIMEX3
101
+ "6": RML
102
+ splits:
103
+ - name: it
104
+ num_bytes: 516047
105
+ num_examples: 1146
106
+ download_size: 230213492
107
+ dataset_size: 516047
108
+ ---
109
 
110
+ # Dataset Card for E3C
 
111
 
112
+ ## Dataset Description
 
 
 
113
 
114
+ - **Homepage:** https://github.com/hltfbk/E3C-Corpus
115
+ - **Public:** True
116
+ - **Tasks:** NER,RE
117
 
118
+ The European Clinical Case Corpus (E3C) project aims at collecting and \
119
+ annotating a large corpus of clinical documents in five European languages (Spanish, \
120
+ Basque, English, French and Italian), which will be freely distributed. Annotations \
121
+ include temporal information, to allow temporal reasoning on chronologies, and \
122
+ information about clinical entities based on medical taxonomies, to be used for semantic reasoning.
123
 
124
+ ## Citation Information
 
 
125
 
126
+ ```
127
+ @report{Magnini2021,
128
+ author = {Bernardo Magnini and Begoña Altuna and Alberto Lavelli and Manuela Speranza
129
+ and Roberto Zanoli and Fondazione Bruno Kessler},
130
+ keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},
131
+ title = {The E3C Project:
132
+ European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},
133
+ url = {https://uts.nlm.nih.gov/uts/umls/home},
134
+ year = {2021},
135
+ }
136
  ```