wonseok commited on
Commit
2218e94
1 Parent(s): 8a6cb03

Update datasets script v0.1 → v0.2 (#1)

Browse files

- Update datasets script v0.1 → v0.2 (dfe01a3719aee5763a80c7452110f590af55c920)

Files changed (1) hide show
  1. lbox_open.py +164 -16
lbox_open.py CHANGED
@@ -2,31 +2,88 @@
2
  # Copyright 2022-present LBox Co. Ltd.
3
  # Licensed under the CC BY-NC-ND 4.0
4
  import json
 
5
  import datasets
6
 
7
  _CASENAME_CLASSIFICATION_FEATURES = {
8
- "id": datasets.Value("int32"),
9
  "casetype": datasets.Value("string"),
10
  "casename": datasets.Value("string"),
11
  "facts": datasets.Value("string"),
12
  }
13
 
14
  _STATUTE_CLASSIFICATION_FEATURES = {
15
- "id": datasets.Value("int32"),
16
  "casetype": datasets.Value("string"),
17
  "casename": datasets.Value("string"),
18
  "statutes": datasets.features.Sequence(datasets.Value("string")),
19
  "facts": datasets.Value("string"),
20
  }
21
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
22
  _SUMMARIZATION_CLASSIFICATION_FEATURES = {
23
- "id": datasets.Value("int32"),
24
  "summary": datasets.Value("string"),
25
  "precedent": datasets.Value("string"),
26
  }
27
 
28
- _CASE_CORPUS_FEATURES = {
29
- "id": datasets.Value("int32"),
30
  "precedent": datasets.Value("string"),
31
  }
32
 
@@ -34,10 +91,20 @@ _CASE_CORPUS_FEATURES = {
34
  class LBoxOpenConfig(datasets.BuilderConfig):
35
  """BuilderConfig for OpenLBox."""
36
 
37
- def __init__(self, features, data_url, citation, url, label_classes=("False", "True"), **kwargs):
 
 
 
 
 
 
 
 
38
  # Version history:
39
  # 0.1.0: Initial version.
40
- super(LBoxOpenConfig, self).__init__(version=datasets.Version("0.1.0"), **kwargs)
 
 
41
  self.features = features
42
  self.label_classes = label_classes
43
  self.data_url = data_url
@@ -47,12 +114,14 @@ class LBoxOpenConfig(datasets.BuilderConfig):
47
 
48
  class LBoxOpen(datasets.GeneratorBasedBuilder):
49
  """The Legal AI Benchmark dataset from Korean Legal Cases."""
 
50
  BUILDER_CONFIGS = [
51
  LBoxOpenConfig(
52
  name="casename_classification",
53
  description="",
54
  features=_CASENAME_CLASSIFICATION_FEATURES,
55
- data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/casename_classification/v0.1.0/",
 
56
  citation="",
57
  url="lbox.kr",
58
  ),
@@ -60,7 +129,24 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
60
  name="statute_classification",
61
  description="",
62
  features=_STATUTE_CLASSIFICATION_FEATURES,
63
- data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/statute_classification/v0.1.0/",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
64
  citation="",
65
  url="lbox.kr",
66
  ),
@@ -73,9 +159,9 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
73
  url="lbox.kr",
74
  ),
75
  LBoxOpenConfig(
76
- name="case_corpus",
77
  description="",
78
- features=_CASE_CORPUS_FEATURES,
79
  data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/case_corpus/v0.1.0/",
80
  citation="",
81
  url="lbox.kr",
@@ -91,9 +177,12 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
91
  )
92
 
93
  def _split_generators(self, dl_manager):
94
- if self.config.name == "case_corpus":
95
  dl_dir = {
96
- "train": dl_manager.download_and_extract(f"{self.config.data_url}case_corpus-150k.jsonl") or "",
 
 
 
97
  }
98
 
99
  return [
@@ -106,11 +195,70 @@ class LBoxOpen(datasets.GeneratorBasedBuilder):
106
  )
107
  ]
108
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
109
  else:
110
  dl_dir = {
111
- "train": dl_manager.download_and_extract(f"{self.config.data_url}train.jsonl") or "",
112
- "valid": dl_manager.download_and_extract(f"{self.config.data_url}valid.jsonl") or "",
113
- "test": dl_manager.download_and_extract(f"{self.config.data_url}test.jsonl") or "",
 
 
 
 
 
 
 
 
 
114
  }
115
 
116
  return [
 
2
  # Copyright 2022-present LBox Co. Ltd.
3
  # Licensed under the CC BY-NC-ND 4.0
4
  import json
5
+
6
  import datasets
7
 
8
  _CASENAME_CLASSIFICATION_FEATURES = {
9
+ "id": datasets.Value("int64"),
10
  "casetype": datasets.Value("string"),
11
  "casename": datasets.Value("string"),
12
  "facts": datasets.Value("string"),
13
  }
14
 
15
  _STATUTE_CLASSIFICATION_FEATURES = {
16
+ "id": datasets.Value("int64"),
17
  "casetype": datasets.Value("string"),
18
  "casename": datasets.Value("string"),
19
  "statutes": datasets.features.Sequence(datasets.Value("string")),
20
  "facts": datasets.Value("string"),
21
  }
22
 
23
+ _LJP_CRIMINAL = {
24
+ "id": datasets.Value("int64"),
25
+ "casetype": datasets.Value("string"),
26
+ "casename": datasets.Value("string"),
27
+ "facts": datasets.Value("string"),
28
+ "reason": datasets.Value("string"),
29
+ "label": {
30
+ "text": datasets.Value("string"),
31
+ "fine_lv": datasets.Value("int64"),
32
+ "imprisonment_with_labor_lv": datasets.Value("int64"),
33
+ "imprisonment_without_labor_lv": datasets.Value("int64"),
34
+ },
35
+ "ruling": {
36
+ "text": datasets.Value("string"),
37
+ "parse": {
38
+ "fine": {
39
+ "type": datasets.Value("string"),
40
+ "unit": datasets.Value("string"),
41
+ "value": datasets.Value("int64"),
42
+ },
43
+ "imprisonment": {
44
+ "type": datasets.Value("string"),
45
+ "unit": datasets.Value("string"),
46
+ "value": datasets.Value("int64"),
47
+ },
48
+ },
49
+ },
50
+ }
51
+
52
+ _LJP_CIVIL = {
53
+ "id": datasets.Value("int64"),
54
+ "casetype": datasets.Value("string"),
55
+ "casename": datasets.Value("string"),
56
+ "facts": datasets.Value("string"),
57
+ "claim_acceptance_lv": datasets.Value("int64"),
58
+ "gist_of_claim": {
59
+ "text": datasets.Value("string"),
60
+ "money": {
61
+ "provider": datasets.Value("string"),
62
+ "taker": datasets.Value("string"),
63
+ "unit": datasets.Value("string"),
64
+ "value": datasets.Value("int64"),
65
+ },
66
+ },
67
+ "ruling": {
68
+ "text": datasets.Value("string"),
69
+ "money": {
70
+ "provider": datasets.Value("string"),
71
+ "taker": datasets.Value("string"),
72
+ "unit": datasets.Value("string"),
73
+ "value": datasets.Value("int64"),
74
+ },
75
+ "litigation_cost": datasets.Value("float32"),
76
+ },
77
+ }
78
+
79
  _SUMMARIZATION_CLASSIFICATION_FEATURES = {
80
+ "id": datasets.Value("int64"),
81
  "summary": datasets.Value("string"),
82
  "precedent": datasets.Value("string"),
83
  }
84
 
85
+ _PRECEDENT_CORPUS_FEATURES = {
86
+ "id": datasets.Value("int64"),
87
  "precedent": datasets.Value("string"),
88
  }
89
 
 
91
  class LBoxOpenConfig(datasets.BuilderConfig):
92
  """BuilderConfig for OpenLBox."""
93
 
94
+ def __init__(
95
+ self,
96
+ features,
97
+ data_url,
98
+ citation,
99
+ url,
100
+ label_classes=("False", "True"),
101
+ **kwargs,
102
+ ):
103
  # Version history:
104
  # 0.1.0: Initial version.
105
+ super(LBoxOpenConfig, self).__init__(
106
+ version=datasets.Version("0.2.0"), **kwargs
107
+ )
108
  self.features = features
109
  self.label_classes = label_classes
110
  self.data_url = data_url
 
114
 
115
  class LBoxOpen(datasets.GeneratorBasedBuilder):
116
  """The Legal AI Benchmark dataset from Korean Legal Cases."""
117
+
118
  BUILDER_CONFIGS = [
119
  LBoxOpenConfig(
120
  name="casename_classification",
121
  description="",
122
  features=_CASENAME_CLASSIFICATION_FEATURES,
123
+ data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/casename_classification/v0.1.2/",
124
+ # data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/casename_classification/v0.1.0/",
125
  citation="",
126
  url="lbox.kr",
127
  ),
 
129
  name="statute_classification",
130
  description="",
131
  features=_STATUTE_CLASSIFICATION_FEATURES,
132
+ data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/statute_classification/v0.1.2/",
133
+ # data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/statute_classification/v0.1.0/",
134
+ citation="",
135
+ url="lbox.kr",
136
+ ),
137
+ LBoxOpenConfig(
138
+ name="ljp_criminal",
139
+ description="",
140
+ features=_LJP_CRIMINAL,
141
+ data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/judgement_prediction/v0.1.2/criminal/",
142
+ citation="",
143
+ url="lbox.kr",
144
+ ),
145
+ LBoxOpenConfig(
146
+ name="ljp_civil",
147
+ description="",
148
+ features=_LJP_CIVIL,
149
+ data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/judgement_prediction/v0.1.2/civil/",
150
  citation="",
151
  url="lbox.kr",
152
  ),
 
159
  url="lbox.kr",
160
  ),
161
  LBoxOpenConfig(
162
+ name="precedent_corpus",
163
  description="",
164
+ features=_PRECEDENT_CORPUS_FEATURES,
165
  data_url="https://lbox-open.s3.ap-northeast-2.amazonaws.com/precedent_benchmark_dataset/case_corpus/v0.1.0/",
166
  citation="",
167
  url="lbox.kr",
 
177
  )
178
 
179
  def _split_generators(self, dl_manager):
180
+ if self.config.name == "precedent_corpus":
181
  dl_dir = {
182
+ "train": dl_manager.download_and_extract(
183
+ f"{self.config.data_url}case_corpus-150k.jsonl"
184
+ )
185
+ or "",
186
  }
187
 
188
  return [
 
195
  )
196
  ]
197
 
198
+ elif self.config.name in ["casename_classification", "statute_classification", "ljp_criminal", "ljp_civil"]:
199
+ dl_dir = {
200
+ "train": dl_manager.download_and_extract(
201
+ f"{self.config.data_url}train.jsonl"
202
+ )
203
+ or "",
204
+ "valid": dl_manager.download_and_extract(
205
+ f"{self.config.data_url}valid.jsonl"
206
+ )
207
+ or "",
208
+ "test": dl_manager.download_and_extract(
209
+ f"{self.config.data_url}test.jsonl"
210
+ )
211
+ or "",
212
+ "test2": dl_manager.download_and_extract(
213
+ f"{self.config.data_url}test2.jsonl"
214
+ )
215
+ or "",
216
+ }
217
+
218
+ return [
219
+ datasets.SplitGenerator(
220
+ name=datasets.Split.TRAIN,
221
+ gen_kwargs={
222
+ "data_file": dl_dir["train"],
223
+ "split": datasets.Split.TRAIN,
224
+ },
225
+ ),
226
+ datasets.SplitGenerator(
227
+ name=datasets.Split.VALIDATION,
228
+ gen_kwargs={
229
+ "data_file": dl_dir["valid"],
230
+ "split": datasets.Split.VALIDATION,
231
+ },
232
+ ),
233
+ datasets.SplitGenerator(
234
+ name=datasets.Split.TEST,
235
+ gen_kwargs={
236
+ "data_file": dl_dir["test"],
237
+ "split": datasets.Split.TEST,
238
+ },
239
+ ),
240
+ datasets.SplitGenerator(
241
+ name="test2",
242
+ gen_kwargs={
243
+ "data_file": dl_dir["test2"],
244
+ "split": "test2",
245
+ },
246
+ ),
247
+ ]
248
  else:
249
  dl_dir = {
250
+ "train": dl_manager.download_and_extract(
251
+ f"{self.config.data_url}train.jsonl"
252
+ )
253
+ or "",
254
+ "valid": dl_manager.download_and_extract(
255
+ f"{self.config.data_url}valid.jsonl"
256
+ )
257
+ or "",
258
+ "test": dl_manager.download_and_extract(
259
+ f"{self.config.data_url}test.jsonl"
260
+ )
261
+ or "",
262
  }
263
 
264
  return [