holylovenia commited on
Commit
6eb0910
1 Parent(s): 1fa9c68

Upload id_wsd.py with huggingface_hub

Browse files
Files changed (1) hide show
  1. id_wsd.py +16 -16
id_wsd.py CHANGED
@@ -1,13 +1,13 @@
1
  import os
2
  from pathlib import Path
3
  from typing import Dict, List, Tuple
4
- from nusacrowd.utils.constants import Tasks
5
- from nusacrowd.utils import schemas
6
 
7
  import datasets
8
  import json
9
 
10
- from nusacrowd.utils.configs import NusantaraConfig
11
 
12
  _CITATION = """\
13
  @inproceedings{mahendra-etal-2018-cross,
@@ -31,7 +31,7 @@ _CITATION = """\
31
  _LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
32
  _LOCAL = False
33
 
34
- _DATASETNAME = "indonesian_wsd"
35
 
36
  _DESCRIPTION = """\
37
  Word Sense Disambiguation (WSD) is a task to determine the correct sense of an ambiguous word.
@@ -52,7 +52,7 @@ _SUPPORTED_TASKS = [Tasks.WORD_SENSE_DISAMBIGUATION]
52
 
53
  _SOURCE_VERSION = "1.0.0"
54
 
55
- _NUSANTARA_VERSION = "1.0.0"
56
 
57
  _LABELS = [
58
  {
@@ -84,22 +84,22 @@ _LABELS = [
84
  class IndonesianWSD(datasets.GeneratorBasedBuilder):
85
 
86
  SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
87
- NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
88
 
89
  BUILDER_CONFIGS = [
90
- NusantaraConfig(
91
- name="indonesian_wsd_source",
92
  version=SOURCE_VERSION,
93
  description="Indonesian WSD source schema",
94
  schema="source",
95
- subset_id="indonesian_wsd",
96
  ),
97
- NusantaraConfig(
98
- name="indonesian_wsd_nusantara_t2t",
99
- version=NUSANTARA_VERSION,
100
  description="Indonesian WSD Nusantara schema",
101
- schema="nusantara_t2t",
102
- subset_id="indonesian_wsd",
103
  ),
104
  ]
105
 
@@ -115,7 +115,7 @@ class IndonesianWSD(datasets.GeneratorBasedBuilder):
115
  }
116
  )
117
 
118
- elif self.config.schema == "nusantara_t2t":
119
  features = schemas.text2text_features
120
 
121
  return datasets.DatasetInfo(
@@ -170,7 +170,7 @@ class IndonesianWSD(datasets.GeneratorBasedBuilder):
170
  yield key, example
171
  key+=1
172
 
173
- elif self.config.schema == "nusantara_t2t":
174
  key = 0
175
  for each_data in data:
176
  example = {
 
1
  import os
2
  from pathlib import Path
3
  from typing import Dict, List, Tuple
4
+ from seacrowd.utils.constants import Tasks
5
+ from seacrowd.utils import schemas
6
 
7
  import datasets
8
  import json
9
 
10
+ from seacrowd.utils.configs import SEACrowdConfig
11
 
12
  _CITATION = """\
13
  @inproceedings{mahendra-etal-2018-cross,
 
31
  _LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
32
  _LOCAL = False
33
 
34
+ _DATASETNAME = "id_wsd"
35
 
36
  _DESCRIPTION = """\
37
  Word Sense Disambiguation (WSD) is a task to determine the correct sense of an ambiguous word.
 
52
 
53
  _SOURCE_VERSION = "1.0.0"
54
 
55
+ _SEACROWD_VERSION = "2024.06.20"
56
 
57
  _LABELS = [
58
  {
 
84
  class IndonesianWSD(datasets.GeneratorBasedBuilder):
85
 
86
  SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
87
+ SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
88
 
89
  BUILDER_CONFIGS = [
90
+ SEACrowdConfig(
91
+ name="id_wsd_source",
92
  version=SOURCE_VERSION,
93
  description="Indonesian WSD source schema",
94
  schema="source",
95
+ subset_id="id_wsd",
96
  ),
97
+ SEACrowdConfig(
98
+ name="id_wsd_seacrowd_t2t",
99
+ version=SEACROWD_VERSION,
100
  description="Indonesian WSD Nusantara schema",
101
+ schema="seacrowd_t2t",
102
+ subset_id="id_wsd",
103
  ),
104
  ]
105
 
 
115
  }
116
  )
117
 
118
+ elif self.config.schema == "seacrowd_t2t":
119
  features = schemas.text2text_features
120
 
121
  return datasets.DatasetInfo(
 
170
  yield key, example
171
  key+=1
172
 
173
+ elif self.config.schema == "seacrowd_t2t":
174
  key = 0
175
  for each_data in data:
176
  example = {