Upload id_multilabel_hs.py with huggingface_hub

id_multilabel_hs.py

@@ -4,9 +4,9 @@ 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 Tasks
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
 
 _CITATION = """\
 @inproceedings{ibrohim-budi-2019-multi,
@@ -53,28 +53,28 @@ _URLS = {
 }
 _SUPPORTED_TASKS = [Tasks.ASPECT_BASED_SENTIMENT_ANALYSIS]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IdAbusive(datasets.GeneratorBasedBuilder):
     """The ID_MULTILABEL_HS dataset is multi-label hate speech and abusive language detection in Indonesian tweets"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="id_multilabel_hs_source",
             version=SOURCE_VERSION,
             description="ID Multilabel HS source schema",
             schema="source",
             subset_id="id_multilabel_hs",
         ),
-        NusantaraConfig(
-            name="id_multilabel_hs_nusantara_text_multi",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="id_multilabel_hs_seacrowd_text_multi",
+            version=SEACROWD_VERSION,
             description="ID Multilabel HS Nusantara schema",
-            schema="nusantara_text_multi",
+            schema="seacrowd_text_multi",
             subset_id="id_multilabel_hs",
         ),
     ]
@@ -98,7 +98,7 @@ class IdAbusive(datasets.GeneratorBasedBuilder):
                 "HS_Moderate": datasets.Value("bool"), 
                 "HS_Strong": datasets.Value("bool"),
                 })
-        elif self.config.schema == "nusantara_text_multi":
+        elif self.config.schema == "seacrowd_text_multi":
             features = schemas.text_multi_features([0, 1])
 
         return datasets.DatasetInfo(
@@ -142,7 +142,7 @@ class IdAbusive(datasets.GeneratorBasedBuilder):
                     ex[label] = getattr(row, label)
                 yield row.id, ex
 
-        elif self.config.schema == "nusantara_text_multi":
+        elif self.config.schema == "seacrowd_text_multi":
             for row in df.itertuples():
                 ex = {
                     "id": str(row.id),