holylovenia commited on
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fd664de
1 Parent(s): 6b1f2cd

Upload nusax_mt.py with huggingface_hub

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  1. nusax_mt.py +16 -16
nusax_mt.py CHANGED
@@ -4,14 +4,14 @@ from typing import Dict, List, Tuple
4
  import datasets
5
  import pandas as pd
6
 
7
- from nusacrowd.utils import schemas
8
- from nusacrowd.utils.configs import NusantaraConfig
9
- from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
10
  DEFAULT_SOURCE_VIEW_NAME, Tasks)
11
 
12
  _DATASETNAME = "nusax_mt"
13
  _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
14
- _UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
15
 
16
  _LANGUAGES = ["ind", "ace", "ban", "bjn", "bbc", "bug", "jav", "mad", "min", "nij", "sun", "eng"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
17
  _LOCAL = False
@@ -45,7 +45,7 @@ _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
45
 
46
  _SOURCE_VERSION = "1.0.0"
47
 
48
- _NUSANTARA_VERSION = "1.0.0"
49
 
50
  _URLS = {
51
  "train": "https://raw.githubusercontent.com/IndoNLP/nusax/main/datasets/mt/train.csv",
@@ -54,13 +54,13 @@ _URLS = {
54
  }
55
 
56
 
57
- def nusantara_config_constructor(lang_source, lang_target, schema, version):
58
- """Construct NusantaraConfig with nusax_mt_{lang_source}_{lang_target}_{schema} as the name format"""
59
- if schema != "source" and schema != "nusantara_t2t":
60
  raise ValueError(f"Invalid schema: {schema}")
61
 
62
  if lang_source == "" and lang_target == "":
63
- return NusantaraConfig(
64
  name="nusax_mt_{schema}".format(schema=schema),
65
  version=datasets.Version(version),
66
  description="nusax_mt with {schema} schema for all 132 language pairs".format(schema=schema),
@@ -68,7 +68,7 @@ def nusantara_config_constructor(lang_source, lang_target, schema, version):
68
  subset_id="nusax_mt",
69
  )
70
  else:
71
- return NusantaraConfig(
72
  name="nusax_mt_{lang_source}_{lang_target}_{schema}".format(lang_source=lang_source, lang_target=lang_target, schema=schema),
73
  version=datasets.Version(version),
74
  description="nusax_mt with {schema} schema for {lang_source} source language and {lang_target} target language".format(lang_source=lang_source, lang_target=lang_target, schema=schema),
@@ -97,15 +97,15 @@ class NusaXMT(datasets.GeneratorBasedBuilder):
97
  """NusaX-MT is a parallel corpus for training and benchmarking machine translation models across 10 Indonesian local languages + Indonesian and English. The data is presented in csv format with 12 columns, one column for each language."""
98
 
99
  BUILDER_CONFIGS = (
100
- [nusantara_config_constructor(lang1, lang2, "source", _SOURCE_VERSION) for lang1 in LANGUAGES_MAP for lang2 in LANGUAGES_MAP if lang1 != lang2]
101
- + [nusantara_config_constructor(lang1, lang2, "nusantara_t2t", _NUSANTARA_VERSION) for lang1 in LANGUAGES_MAP for lang2 in LANGUAGES_MAP if lang1 != lang2]
102
- + [nusantara_config_constructor("", "", "source", _SOURCE_VERSION), nusantara_config_constructor("", "", "nusantara_t2t", _NUSANTARA_VERSION)]
103
  )
104
 
105
  DEFAULT_CONFIG_NAME = "nusax_senti_ind_eng_source"
106
 
107
  def _info(self) -> datasets.DatasetInfo:
108
- if self.config.schema == "source" or self.config.schema == "nusantara_t2t":
109
  features = schemas.text2text_features
110
  else:
111
  raise ValueError(f"Invalid config schema: {self.config.schema}")
@@ -140,11 +140,11 @@ class NusaXMT(datasets.GeneratorBasedBuilder):
140
  ]
141
 
142
  def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
143
- if self.config.schema != "source" and self.config.schema != "nusantara_t2t":
144
  raise ValueError(f"Invalid config schema: {self.config.schema}")
145
 
146
  df = pd.read_csv(filepath).reset_index()
147
- if self.config.name == "nusax_mt_source" or self.config.name == "nusax_mt_nusantara_t2t":
148
  # load all 132 language pairs
149
  id_count = -1
150
  for lang_source in LANGUAGES_MAP:
 
4
  import datasets
5
  import pandas as pd
6
 
7
+ from seacrowd.utils import schemas
8
+ from seacrowd.utils.configs import SEACrowdConfig
9
+ from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
10
  DEFAULT_SOURCE_VIEW_NAME, Tasks)
11
 
12
  _DATASETNAME = "nusax_mt"
13
  _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
14
+ _UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
15
 
16
  _LANGUAGES = ["ind", "ace", "ban", "bjn", "bbc", "bug", "jav", "mad", "min", "nij", "sun", "eng"] # We follow ISO639-3 language code (https://iso639-3.sil.org/code_tables/639/data)
17
  _LOCAL = False
 
45
 
46
  _SOURCE_VERSION = "1.0.0"
47
 
48
+ _SEACROWD_VERSION = "2024.06.20"
49
 
50
  _URLS = {
51
  "train": "https://raw.githubusercontent.com/IndoNLP/nusax/main/datasets/mt/train.csv",
 
54
  }
55
 
56
 
57
+ def seacrowd_config_constructor(lang_source, lang_target, schema, version):
58
+ """Construct SEACrowdConfig with nusax_mt_{lang_source}_{lang_target}_{schema} as the name format"""
59
+ if schema != "source" and schema != "seacrowd_t2t":
60
  raise ValueError(f"Invalid schema: {schema}")
61
 
62
  if lang_source == "" and lang_target == "":
63
+ return SEACrowdConfig(
64
  name="nusax_mt_{schema}".format(schema=schema),
65
  version=datasets.Version(version),
66
  description="nusax_mt with {schema} schema for all 132 language pairs".format(schema=schema),
 
68
  subset_id="nusax_mt",
69
  )
70
  else:
71
+ return SEACrowdConfig(
72
  name="nusax_mt_{lang_source}_{lang_target}_{schema}".format(lang_source=lang_source, lang_target=lang_target, schema=schema),
73
  version=datasets.Version(version),
74
  description="nusax_mt with {schema} schema for {lang_source} source language and {lang_target} target language".format(lang_source=lang_source, lang_target=lang_target, schema=schema),
 
97
  """NusaX-MT is a parallel corpus for training and benchmarking machine translation models across 10 Indonesian local languages + Indonesian and English. The data is presented in csv format with 12 columns, one column for each language."""
98
 
99
  BUILDER_CONFIGS = (
100
+ [seacrowd_config_constructor(lang1, lang2, "source", _SOURCE_VERSION) for lang1 in LANGUAGES_MAP for lang2 in LANGUAGES_MAP if lang1 != lang2]
101
+ + [seacrowd_config_constructor(lang1, lang2, "seacrowd_t2t", _SEACROWD_VERSION) for lang1 in LANGUAGES_MAP for lang2 in LANGUAGES_MAP if lang1 != lang2]
102
+ + [seacrowd_config_constructor("", "", "source", _SOURCE_VERSION), seacrowd_config_constructor("", "", "seacrowd_t2t", _SEACROWD_VERSION)]
103
  )
104
 
105
  DEFAULT_CONFIG_NAME = "nusax_senti_ind_eng_source"
106
 
107
  def _info(self) -> datasets.DatasetInfo:
108
+ if self.config.schema == "source" or self.config.schema == "seacrowd_t2t":
109
  features = schemas.text2text_features
110
  else:
111
  raise ValueError(f"Invalid config schema: {self.config.schema}")
 
140
  ]
141
 
142
  def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
143
+ if self.config.schema != "source" and self.config.schema != "seacrowd_t2t":
144
  raise ValueError(f"Invalid config schema: {self.config.schema}")
145
 
146
  df = pd.read_csv(filepath).reset_index()
147
+ if self.config.name == "nusax_mt_source" or self.config.name == "nusax_mt_seacrowd_t2t":
148
  # load all 132 language pairs
149
  id_count = -1
150
  for lang_source in LANGUAGES_MAP: