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Upload e3c.py

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  1. e3c.py +117 -49
e3c.py CHANGED
@@ -1,18 +1,19 @@
1
  import os
 
2
 
3
  import datasets
4
- from bs4 import ResultSet, BeautifulSoup
5
  from datasets import DownloadManager
6
 
7
  _CITATION = """\
8
  @report{Magnini2021,
9
- author = {Bernardo Magnini and Begoña Altuna and Alberto Lavelli and Manuela Speranza
10
- and Roberto Zanoli and Fondazione Bruno Kessler},
11
- keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},
12
- title = {The E3C Project:
13
- European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},
14
- url = {https://uts.nlm.nih.gov/uts/umls/home},
15
- year = {2021},
16
  }
17
 
18
  """
@@ -29,14 +30,13 @@ _URL = "https://github.com/hltfbk/E3C-Corpus/archive/refs/tags/v2.0.0.zip"
29
 
30
 
31
  class E3CConfig(datasets.BuilderConfig):
32
- """BuilderConfig for SQUAD."""
33
 
34
  def __init__(self, **kwargs):
35
- """BuilderConfig for SQUAD.
36
  Args:
37
  **kwargs: keyword arguments forwarded to super.
38
  """
39
- self.layer = kwargs.pop("layer")
40
  super(E3CConfig, self).__init__(**kwargs)
41
 
42
 
@@ -44,34 +44,9 @@ class E3C(datasets.GeneratorBasedBuilder):
44
  VERSION = datasets.Version("1.1.0")
45
  BUILDER_CONFIGS = [
46
  E3CConfig(
47
- name="en",
48
  version=VERSION,
49
  description="this is the split of the layer 1 for English of E3C dataset",
50
- layer="1",
51
- ),
52
- E3CConfig(
53
- name="es",
54
- version=VERSION,
55
- description="this is the split of the layer 1 for Spanish of E3C dataset",
56
- layer="1",
57
- ),
58
- E3CConfig(
59
- name="eu",
60
- version=VERSION,
61
- description="this is the split of the layer 1 for Basque of E3C dataset",
62
- layer="1",
63
- ),
64
- E3CConfig(
65
- name="fr",
66
- version=VERSION,
67
- description="this is the split of the layer 1 for French of E3C dataset",
68
- layer="1",
69
- ),
70
- E3CConfig(
71
- name="it",
72
- version=VERSION,
73
- description="this is the split of the layer 1 for Italian of E3C dataset",
74
- layer="1",
75
  ),
76
  ]
77
 
@@ -118,22 +93,115 @@ class E3C(datasets.GeneratorBasedBuilder):
118
  """
119
  url = _URL
120
  data_dir = dl_manager.download_and_extract(url)
121
- language = {
122
- "en": "English",
123
- "es": "Spanish",
124
- "eu": "Basque",
125
- "fr": "French",
126
- "it": "Italian",
127
- }[self.config.name]
128
  return [
129
  datasets.SplitGenerator(
130
- name=self.config.name,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
131
  gen_kwargs={
132
  "filepath": os.path.join(
133
  data_dir,
134
  "E3C-Corpus-2.0.0/data_annotation",
135
- language,
136
- f"layer{self.config.layer}",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
137
  ),
138
  },
139
  ),
@@ -190,7 +258,7 @@ class E3C(datasets.GeneratorBasedBuilder):
190
  "TOKENS": self.get_annotations(soup.find_all("type4:Token"), text),
191
  }
192
 
193
- def _generate_examples(self, filepath) -> tuple[str, dict]:
194
  """Yields examples as (key, example) tuples.
195
  Args:
196
  filepath: The path to the folder containing the files to parse.
@@ -233,8 +301,8 @@ class E3C(datasets.GeneratorBasedBuilder):
233
  labels[idx_token] = f"{entity_type}"
234
  else:
235
  labels[idx_token] = f"{entity_type}"
236
- guid += 1
237
  yield guid, {
238
  "tokens": list(map(lambda tokens: tokens[2], filtered_tokens)),
239
  "ner_tags": labels,
240
  }
 
 
1
  import os
2
+ from typing import Iterator
3
 
4
  import datasets
5
+ from bs4 import BeautifulSoup, ResultSet
6
  from datasets import DownloadManager
7
 
8
  _CITATION = """\
9
  @report{Magnini2021,
10
+ author = {Bernardo Magnini and Begoña Altuna and Alberto Lavelli and Manuela Speranza
11
+ and Roberto Zanoli and Fondazione Bruno Kessler},
12
+ keywords = {Clinical data,clinical enti-ties,corpus,multilingual,temporal information},
13
+ title = {The E3C Project:
14
+ European Clinical Case Corpus El proyecto E3C: European Clinical Case Corpus},
15
+ url = {https://uts.nlm.nih.gov/uts/umls/home},
16
+ year = {2021},
17
  }
18
 
19
  """
 
30
 
31
 
32
  class E3CConfig(datasets.BuilderConfig):
33
+ """BuilderConfig for NCBIDisease"""
34
 
35
  def __init__(self, **kwargs):
36
+ """BuilderConfig for NCBIDisease.
37
  Args:
38
  **kwargs: keyword arguments forwarded to super.
39
  """
 
40
  super(E3CConfig, self).__init__(**kwargs)
41
 
42
 
 
44
  VERSION = datasets.Version("1.1.0")
45
  BUILDER_CONFIGS = [
46
  E3CConfig(
47
+ name="e3c",
48
  version=VERSION,
49
  description="this is the split of the layer 1 for English of E3C dataset",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
50
  ),
51
  ]
52
 
 
93
  """
94
  url = _URL
95
  data_dir = dl_manager.download_and_extract(url)
96
+
 
 
 
 
 
 
97
  return [
98
  datasets.SplitGenerator(
99
+ name="en.layer1",
100
+ gen_kwargs={
101
+ "filepath": os.path.join(
102
+ data_dir,
103
+ "E3C-Corpus-2.0.0/data_annotation",
104
+ "English",
105
+ "layer1",
106
+ ),
107
+ },
108
+ ),
109
+ datasets.SplitGenerator(
110
+ name="en.layer2",
111
+ gen_kwargs={
112
+ "filepath": os.path.join(
113
+ data_dir,
114
+ "E3C-Corpus-2.0.0/data_annotation",
115
+ "English",
116
+ "layer2",
117
+ ),
118
+ },
119
+ ),
120
+ datasets.SplitGenerator(
121
+ name="es.layer1",
122
+ gen_kwargs={
123
+ "filepath": os.path.join(
124
+ data_dir,
125
+ "E3C-Corpus-2.0.0/data_annotation",
126
+ "Spanish",
127
+ "layer1",
128
+ ),
129
+ },
130
+ ),
131
+ datasets.SplitGenerator(
132
+ name="es.layer2",
133
  gen_kwargs={
134
  "filepath": os.path.join(
135
  data_dir,
136
  "E3C-Corpus-2.0.0/data_annotation",
137
+ "Spanish",
138
+ "layer2",
139
+ ),
140
+ },
141
+ ),
142
+ datasets.SplitGenerator(
143
+ name="eu.layer1",
144
+ gen_kwargs={
145
+ "filepath": os.path.join(
146
+ data_dir,
147
+ "E3C-Corpus-2.0.0/data_annotation",
148
+ "Basque",
149
+ "layer1",
150
+ ),
151
+ },
152
+ ),
153
+ datasets.SplitGenerator(
154
+ name="eu.layer2",
155
+ gen_kwargs={
156
+ "filepath": os.path.join(
157
+ data_dir,
158
+ "E3C-Corpus-2.0.0/data_annotation",
159
+ "Basque",
160
+ "layer2",
161
+ ),
162
+ },
163
+ ),
164
+ datasets.SplitGenerator(
165
+ name="fr.layer1",
166
+ gen_kwargs={
167
+ "filepath": os.path.join(
168
+ data_dir,
169
+ "E3C-Corpus-2.0.0/data_annotation",
170
+ "French",
171
+ "layer1",
172
+ ),
173
+ },
174
+ ),
175
+ datasets.SplitGenerator(
176
+ name="fr.layer2",
177
+ gen_kwargs={
178
+ "filepath": os.path.join(
179
+ data_dir,
180
+ "E3C-Corpus-2.0.0/data_annotation",
181
+ "French",
182
+ "layer2",
183
+ ),
184
+ },
185
+ ),
186
+ datasets.SplitGenerator(
187
+ name="it.layer1",
188
+ gen_kwargs={
189
+ "filepath": os.path.join(
190
+ data_dir,
191
+ "E3C-Corpus-2.0.0/data_annotation",
192
+ "Italian",
193
+ "layer1",
194
+ ),
195
+ },
196
+ ),
197
+ datasets.SplitGenerator(
198
+ name="it.layer2",
199
+ gen_kwargs={
200
+ "filepath": os.path.join(
201
+ data_dir,
202
+ "E3C-Corpus-2.0.0/data_annotation",
203
+ "Italian",
204
+ "layer2",
205
  ),
206
  },
207
  ),
 
258
  "TOKENS": self.get_annotations(soup.find_all("type4:Token"), text),
259
  }
260
 
261
+ def _generate_examples(self, filepath) -> Iterator:
262
  """Yields examples as (key, example) tuples.
263
  Args:
264
  filepath: The path to the folder containing the files to parse.
 
301
  labels[idx_token] = f"{entity_type}"
302
  else:
303
  labels[idx_token] = f"{entity_type}"
 
304
  yield guid, {
305
  "tokens": list(map(lambda tokens: tokens[2], filtered_tokens)),
306
  "ner_tags": labels,
307
  }
308
+ guid += 1