Upload nusaparagraph_topic.py with huggingface_hub

nusaparagraph_topic.py

@@ -4,16 +4,16 @@ from typing import Dict, List, Tuple
 import datasets
 import pandas as pd
 
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import (DEFAULT_NUSANTARA_VIEW_NAME,
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import (DEFAULT_SEACROWD_VIEW_NAME,
                                        DEFAULT_SOURCE_VIEW_NAME, Tasks)
 
 _LOCAL = False
 
 _DATASETNAME = "nusaparagraph_topic"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _LANGUAGES = [
     "btk", "bew", "bug", "jav", "mad", "mak", "min", "mui", "rej", "sun"
@@ -43,7 +43,7 @@ _SUPPORTED_TASKS = [Tasks.TOPIC_MODELING]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 _URLS = {
     "train":
@@ -55,13 +55,13 @@ _URLS = {
 }
 
 
-def nusantara_config_constructor(lang, schema, version):
-    """Construct NusantaraConfig with nusaparagraph_topic_{lang}_{schema} as the name format"""
-    if schema != "source" and schema != "nusantara_text":
+def seacrowd_config_constructor(lang, schema, version):
+    """Construct SEACrowdConfig with nusaparagraph_topic_{lang}_{schema} as the name format"""
+    if schema != "source" and schema != "seacrowd_text":
         raise ValueError(f"Invalid schema: {schema}")
 
     if lang == "":
-        return NusantaraConfig(
+        return SEACrowdConfig(
             name="nusaparagraph_topic_{schema}".format(schema=schema),
             version=datasets.Version(version),
             description=
@@ -71,7 +71,7 @@ def nusantara_config_constructor(lang, schema, version):
             subset_id="nusaparagraph_topic",
         )
     else:
-        return NusantaraConfig(
+        return SEACrowdConfig(
             name="nusaparagraph_topic_{lang}_{schema}".format(lang=lang,
                                                               schema=schema),
             version=datasets.Version(version),
@@ -101,15 +101,15 @@ class NusaParagraphTopic(datasets.GeneratorBasedBuilder):
     """NusaParagraph-Topic is a 8-labels (food & beverages, sports, leisure, religion, culture & heritage, a slice of life, technology, and business) topic modeling dataset for 10 Indonesian local languages."""
 
     BUILDER_CONFIGS = ([
-        nusantara_config_constructor(lang, "source", _SOURCE_VERSION)
+        seacrowd_config_constructor(lang, "source", _SOURCE_VERSION)
         for lang in LANGUAGES_MAP
     ] + [
-        nusantara_config_constructor(lang, "nusantara_text",
-                                     _NUSANTARA_VERSION)
+        seacrowd_config_constructor(lang, "seacrowd_text",
+                                     _SEACROWD_VERSION)
         for lang in LANGUAGES_MAP
     ] + [
-        nusantara_config_constructor("", "source", _SOURCE_VERSION),
-        nusantara_config_constructor("", "nusantara_text", _NUSANTARA_VERSION)
+        seacrowd_config_constructor("", "source", _SOURCE_VERSION),
+        seacrowd_config_constructor("", "seacrowd_text", _SEACROWD_VERSION)
     ])
 
     DEFAULT_CONFIG_NAME = "nusaparagraph_topic_ind_source"
@@ -121,7 +121,7 @@ class NusaParagraphTopic(datasets.GeneratorBasedBuilder):
                 "text": datasets.Value("string"),
                 "label": datasets.Value("string"),
             })
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features([
                 "food & beverages", "sports", "leisures", "religion", "culture & heritage", "slice of life", "technology", "business"
             ])
@@ -138,7 +138,7 @@ class NusaParagraphTopic(datasets.GeneratorBasedBuilder):
             self, dl_manager: datasets.DownloadManager
     ) -> List[datasets.SplitGenerator]:
         """Returns SplitGenerators."""
-        if self.config.name == "nusaparagraph_topic_source" or self.config.name == "nusaparagraph_topic_nusantara_text":
+        if self.config.name == "nusaparagraph_topic_source" or self.config.name == "nusaparagraph_topic_seacrowd_text":
             # Load all 12 languages
             train_csv_path = dl_manager.download_and_extract([
                 _URLS["train"].format(lang=lang)
@@ -180,10 +180,10 @@ class NusaParagraphTopic(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
-        if self.config.schema != "source" and self.config.schema != "nusantara_text":
+        if self.config.schema != "source" and self.config.schema != "seacrowd_text":
             raise ValueError(f"Invalid config: {self.config.name}")
 
-        if self.config.name == "nusaparagraph_topic_source" or self.config.name == "nusaparagraph_topic_nusantara_text":
+        if self.config.name == "nusaparagraph_topic_source" or self.config.name == "nusaparagraph_topic_seacrowd_text":
             ldf = []
             for fp in filepath:
                 ldf.append(pd.read_csv(fp))