holylovenia commited on
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e6a6a97
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1 Parent(s): a4c5a5e

Upload kopi_cc_news.py with huggingface_hub

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  1. kopi_cc_news.py +13 -13
kopi_cc_news.py CHANGED
@@ -16,7 +16,7 @@
16
  """
17
  KoPI-CC_NEWS corpus
18
 
19
- [nusantara_schema_name] = ssp
20
  """
21
 
22
  import json
@@ -25,16 +25,16 @@ from typing import List
25
  import datasets
26
  import zstandard as zstd
27
 
28
- from nusacrowd.utils import schemas
29
- from nusacrowd.utils.configs import NusantaraConfig
30
- from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
31
  DEFAULT_SOURCE_VIEW_NAME, Tasks)
32
 
33
  _DATASETNAME = "kopi_cc_news"
34
  _LOCAL = False
35
  _LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
36
  _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
37
- _UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
38
  _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
39
  _URL = "https://commoncrawl.org/"
40
  _CITATION = """\
@@ -57,18 +57,18 @@ _ALL_CONFIG = _YEAR + ["all"]
57
 
58
  _SOURCE_VERSION = "2018.12.01"
59
 
60
- _NUSANTARA_VERSION = "1.0.0"
61
 
62
 
63
- def nusantara_config_constructor(year, schema, version):
64
- """Construct NusantaraConfig"""
65
- if schema != "source" and schema != "nusantara_ssp":
66
  raise ValueError(f"Invalid schema: {schema}")
67
 
68
  if year == "":
69
  raise ValueError(f"Snapshot is required. Choose one of these Snapshot: {_ALL_CONFIG}.")
70
  elif year in _ALL_CONFIG:
71
- return NusantaraConfig(
72
  name=f"{_DATASETNAME}_{year}_{schema}",
73
  version=datasets.Version(version),
74
  description=f"KoPI-CC_News with {schema} schema for {year}",
@@ -83,7 +83,7 @@ class KoPICCNEWS(datasets.GeneratorBasedBuilder):
83
 
84
  DEFAULT_CONFIG_NAME = "2016"
85
 
86
- BUILDER_CONFIGS = [nusantara_config_constructor(sn, "source", _SOURCE_VERSION) for sn in _ALL_CONFIG] + [nusantara_config_constructor(sn, "nusantara_ssp", _NUSANTARA_VERSION) for sn in _ALL_CONFIG]
87
 
88
  def _info(self):
89
  if self.config.schema == "source":
@@ -95,7 +95,7 @@ class KoPICCNEWS(datasets.GeneratorBasedBuilder):
95
  "meta": datasets.Value("string"),
96
  }
97
  )
98
- elif self.config.schema == "nusantara_ssp":
99
  features = schemas.self_supervised_pretraining.features
100
 
101
  return datasets.DatasetInfo(
@@ -131,7 +131,7 @@ class KoPICCNEWS(datasets.GeneratorBasedBuilder):
131
  for line in f:
132
  if line:
133
  example = json.loads(line)
134
- if self.config.schema == "nusantara_ssp":
135
  yield id_, {"id": str(id_), "text": example["text"]}
136
  id_ += 1
137
  else:
 
16
  """
17
  KoPI-CC_NEWS corpus
18
 
19
+ [seacrowd_schema_name] = ssp
20
  """
21
 
22
  import json
 
25
  import datasets
26
  import zstandard as zstd
27
 
28
+ from seacrowd.utils import schemas
29
+ from seacrowd.utils.configs import SEACrowdConfig
30
+ from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
31
  DEFAULT_SOURCE_VIEW_NAME, Tasks)
32
 
33
  _DATASETNAME = "kopi_cc_news"
34
  _LOCAL = False
35
  _LANGUAGES = ["ind"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
36
  _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
37
+ _UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
38
  _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
39
  _URL = "https://commoncrawl.org/"
40
  _CITATION = """\
 
57
 
58
  _SOURCE_VERSION = "2018.12.01"
59
 
60
+ _SEACROWD_VERSION = "2024.06.20"
61
 
62
 
63
+ def seacrowd_config_constructor(year, schema, version):
64
+ """Construct SEACrowdConfig"""
65
+ if schema != "source" and schema != "seacrowd_ssp":
66
  raise ValueError(f"Invalid schema: {schema}")
67
 
68
  if year == "":
69
  raise ValueError(f"Snapshot is required. Choose one of these Snapshot: {_ALL_CONFIG}.")
70
  elif year in _ALL_CONFIG:
71
+ return SEACrowdConfig(
72
  name=f"{_DATASETNAME}_{year}_{schema}",
73
  version=datasets.Version(version),
74
  description=f"KoPI-CC_News with {schema} schema for {year}",
 
83
 
84
  DEFAULT_CONFIG_NAME = "2016"
85
 
86
+ BUILDER_CONFIGS = [seacrowd_config_constructor(sn, "source", _SOURCE_VERSION) for sn in _ALL_CONFIG] + [seacrowd_config_constructor(sn, "seacrowd_ssp", _SEACROWD_VERSION) for sn in _ALL_CONFIG]
87
 
88
  def _info(self):
89
  if self.config.schema == "source":
 
95
  "meta": datasets.Value("string"),
96
  }
97
  )
98
+ elif self.config.schema == "seacrowd_ssp":
99
  features = schemas.self_supervised_pretraining.features
100
 
101
  return datasets.DatasetInfo(
 
131
  for line in f:
132
  if line:
133
  example = json.loads(line)
134
+ if self.config.schema == "seacrowd_ssp":
135
  yield id_, {"id": str(id_), "text": example["text"]}
136
  id_ += 1
137
  else: