Upload nusax_senti.py with huggingface_hub

nusax_senti.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 = "nusax_senti"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _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)
 
@@ -46,7 +46,7 @@ _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 _URLS = {
     "train": "https://raw.githubusercontent.com/IndoNLP/nusax/main/datasets/sentiment/{lang}/train.csv",
@@ -55,13 +55,13 @@ _URLS = {
 }
 
 
-def nusantara_config_constructor(lang, schema, version):
-    """Construct NusantaraConfig with nusax_senti_{lang}_{schema} as the name format"""
-    if schema != "source" and schema != "nusantara_text":
+def seacrowd_config_constructor(lang, schema, version):
+    """Construct SEACrowdConfig with nusax_senti_{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="nusax_senti_{schema}".format(schema=schema),
             version=datasets.Version(version),
             description="nusax_senti with {schema} schema for all 12 languages".format(schema=schema),
@@ -69,7 +69,7 @@ def nusantara_config_constructor(lang, schema, version):
             subset_id="nusax_senti",
         )
     else:
-        return NusantaraConfig(
+        return SEACrowdConfig(
             name="nusax_senti_{lang}_{schema}".format(lang=lang, schema=schema),
             version=datasets.Version(version),
             description="nusax_senti with {schema} schema for {lang} language".format(lang=lang, schema=schema),
@@ -98,9 +98,9 @@ class NusaXSenti(datasets.GeneratorBasedBuilder):
     """NusaX-Senti is a 3-labels (positive, neutral, negative) sentiment analysis dataset for 10 Indonesian local languages + Indonesian and English."""
 
     BUILDER_CONFIGS = (
-        [nusantara_config_constructor(lang, "source", _SOURCE_VERSION) for lang in LANGUAGES_MAP]
-        + [nusantara_config_constructor(lang, "nusantara_text", _NUSANTARA_VERSION) for lang in LANGUAGES_MAP]
-        + [nusantara_config_constructor("", "source", _SOURCE_VERSION), nusantara_config_constructor("", "nusantara_text", _NUSANTARA_VERSION)]
+        [seacrowd_config_constructor(lang, "source", _SOURCE_VERSION) for lang in LANGUAGES_MAP]
+        + [seacrowd_config_constructor(lang, "seacrowd_text", _SEACROWD_VERSION) for lang in LANGUAGES_MAP]
+        + [seacrowd_config_constructor("", "source", _SOURCE_VERSION), seacrowd_config_constructor("", "seacrowd_text", _SEACROWD_VERSION)]
     )
 
     DEFAULT_CONFIG_NAME = "nusax_senti_ind_source"
@@ -114,7 +114,7 @@ class NusaXSenti(datasets.GeneratorBasedBuilder):
                     "label": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(["negative", "neutral", "positive"])
 
         return datasets.DatasetInfo(
@@ -127,7 +127,7 @@ class NusaXSenti(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
         """Returns SplitGenerators."""
-        if self.config.name == "nusax_senti_source" or self.config.name == "nusax_senti_nusantara_text":
+        if self.config.name == "nusax_senti_source" or self.config.name == "nusax_senti_seacrowd_text":
             # Load all 12 languages
             train_csv_path = dl_manager.download_and_extract([_URLS["train"].format(lang=LANGUAGES_MAP[lang]) for lang in LANGUAGES_MAP])
             validation_csv_path = dl_manager.download_and_extract([_URLS["validation"].format(lang=LANGUAGES_MAP[lang]) for lang in LANGUAGES_MAP])
@@ -154,10 +154,10 @@ class NusaXSenti(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 == "nusax_senti_source" or self.config.name == "nusax_senti_nusantara_text":
+        if self.config.name == "nusax_senti_source" or self.config.name == "nusax_senti_seacrowd_text":
             ldf = []
             for fp in filepath:
                 ldf.append(pd.read_csv(fp))