File size: 7,110 Bytes
dced4f2
0541579
dced4f2
 
 
 
0541579
 
 
dced4f2
0541579
 
 
dced4f2
 
 
0541579
c1ba67f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
175a1a4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c1ba67f
0541579
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
c1ba67f
 
 
 
 
 
 
 
175a1a4
 
 
 
 
 
 
 
0541579
 
 
 
 
 
 
 
 
dced4f2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
---
language:
- es
license: cc-by-4.0
multilinguality: monolingual
pretty_name: CANTEMIST
bigbio_language:
- Spanish
bigbio_license_shortname: CC_BY_4p0
homepage: https://temu.bsc.es/cantemist/?p=4338
bigbio_pubmed: false
bigbio_public: true
bigbio_tasks:
- NAMED_ENTITY_RECOGNITION
- NAMED_ENTITY_DISAMBIGUATION
- TEXT_CLASSIFICATION
dataset_info:
- config_name: cantemist_bigbio_kb
  features:
  - name: id
    dtype: string
  - name: document_id
    dtype: string
  - name: passages
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: text
      sequence: string
    - name: offsets
      sequence:
        list: int32
  - name: entities
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: text
      sequence: string
    - name: offsets
      sequence:
        list: int32
    - name: normalized
      list:
      - name: db_name
        dtype: string
      - name: db_id
        dtype: string
  - name: events
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: trigger
      struct:
      - name: text
        sequence: string
      - name: offsets
        sequence:
          list: int32
    - name: arguments
      list:
      - name: role
        dtype: string
      - name: ref_id
        dtype: string
  - name: coreferences
    list:
    - name: id
      dtype: string
    - name: entity_ids
      sequence: string
  - name: relations
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: arg1_id
      dtype: string
    - name: arg2_id
      dtype: string
    - name: normalized
      list:
      - name: db_name
        dtype: string
      - name: db_id
        dtype: string
  splits:
  - name: train
    num_bytes: 3431289
    num_examples: 501
  - name: test
    num_bytes: 1883309
    num_examples: 300
  - name: validation
    num_bytes: 3111616
    num_examples: 500
  download_size: 4000409
  dataset_size: 8426214
- config_name: cantemist_bigbio_text
  features:
  - name: id
    dtype: string
  - name: document_id
    dtype: string
  - name: text
    dtype: string
  - name: labels
    list: string
  splits:
  - name: train
    num_bytes: 2704288
    num_examples: 501
  - name: test
    num_bytes: 1468362
    num_examples: 300
  - name: validation
    num_bytes: 2425597
    num_examples: 500
  download_size: 3605238
  dataset_size: 6598247
- config_name: cantemist_source
  features:
  - name: id
    dtype: string
  - name: document_id
    dtype: string
  - name: text
    dtype: string
  - name: labels
    list: string
  - name: text_bound_annotations
    list:
    - name: offsets
      sequence:
        list: int32
    - name: text
      sequence: string
    - name: type
      dtype: string
    - name: id
      dtype: string
  - name: events
    list:
    - name: trigger
      dtype: string
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: arguments
      sequence:
      - name: role
        dtype: string
      - name: ref_id
        dtype: string
  - name: relations
    list:
    - name: id
      dtype: string
    - name: head
      struct:
      - name: ref_id
        dtype: string
      - name: role
        dtype: string
    - name: tail
      struct:
      - name: ref_id
        dtype: string
      - name: role
        dtype: string
    - name: type
      dtype: string
  - name: equivalences
    list:
    - name: id
      dtype: string
    - name: ref_ids
      sequence: string
  - name: attributes
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: ref_id
      dtype: string
    - name: value
      dtype: string
  - name: normalizations
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: ref_id
      dtype: string
    - name: resource_name
      dtype: string
    - name: cuid
      dtype: string
    - name: text
      dtype: string
  - name: notes
    list:
    - name: id
      dtype: string
    - name: type
      dtype: string
    - name: ref_id
      dtype: string
    - name: text
      dtype: string
  splits:
  - name: train
    num_bytes: 3451245
    num_examples: 501
  - name: test
    num_bytes: 1892436
    num_examples: 300
  - name: validation
    num_bytes: 3126466
    num_examples: 500
  download_size: 3927340
  dataset_size: 8470147
configs:
- config_name: cantemist_bigbio_kb
  data_files:
  - split: train
    path: cantemist_bigbio_kb/train-*
  - split: test
    path: cantemist_bigbio_kb/test-*
  - split: validation
    path: cantemist_bigbio_kb/validation-*
- config_name: cantemist_bigbio_text
  data_files:
  - split: train
    path: cantemist_bigbio_text/train-*
  - split: test
    path: cantemist_bigbio_text/test-*
  - split: validation
    path: cantemist_bigbio_text/validation-*
- config_name: cantemist_source
  data_files:
  - split: train
    path: cantemist_source/train-*
  - split: test
    path: cantemist_source/test-*
  - split: validation
    path: cantemist_source/validation-*
  default: true
---


# Dataset Card for CANTEMIST

## Dataset Description

- **Homepage:** https://temu.bsc.es/cantemist/?p=4338
- **Pubmed:** False
- **Public:** True
- **Tasks:** NER,NED,TXTCLASS


Collection of 1301 oncological clinical case reports written in Spanish, with tumor morphology mentions manually annotated and mapped by clinical experts to a controlled terminology. Every tumor morphology mention is linked to an eCIE-O code (the Spanish equivalent of ICD-O).

The original dataset is distributed in Brat format, and was randomly sampled into 3 subsets. The training, development and test sets contain 501, 500 and 300 documents each, respectively.

This dataset was designed for the CANcer TExt Mining Shared Task, sponsored by Plan-TL. The task is divided in 3 subtasks: CANTEMIST-NER, CANTEMIST_NORM and CANTEMIST-CODING.

CANTEMIST-NER track: requires finding automatically tumor morphology mentions. All tumor morphology mentions are defined by their corresponding character offsets in UTF-8 plain text medical documents. 

CANTEMIST-NORM track: clinical concept normalization or named entity normalization task that requires to return all tumor morphology entity mentions together with their corresponding eCIE-O-3.1 codes i.e. finding and normalizing tumor morphology mentions.

CANTEMIST-CODING track: requires returning for each of document a ranked list of its corresponding ICD-O-3 codes. This it is essentially a sort of indexing or multi-label classification task or oncology clinical coding. 

For further information, please visit https://temu.bsc.es/cantemist or send an email to encargo-pln-life@bsc.es



## Citation Information

```
@article{miranda2020named,
  title={Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results.},
  author={Miranda-Escalada, Antonio and Farr{'e}, Eul{\`a}lia and Krallinger, Martin},
  journal={IberLEF@ SEPLN},
  pages={303--323},
  year={2020}
}

```