Upload id_hatespeech.py with huggingface_hub

id_hatespeech.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{inproceedings,
@@ -36,7 +36,7 @@ _URLS = {
 }
 _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IdHatespeech(datasets.GeneratorBasedBuilder):
@@ -44,21 +44,21 @@ class IdHatespeech(datasets.GeneratorBasedBuilder):
     designed for hate speech detection NLP task."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="id_hatespeech_source",
             version=SOURCE_VERSION,
             description="ID Hatespeech source schema",
             schema="source",
             subset_id="id_hatespeech",
         ),
-        NusantaraConfig(
-            name="id_hatespeech_nusantara_text",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="id_hatespeech_seacrowd_text",
+            version=SEACROWD_VERSION,
             description="ID Hatespeech Nusantara schema",
-            schema="nusantara_text",
+            schema="seacrowd_text",
             subset_id="id_hatespeech",
         ),
     ]
@@ -68,7 +68,7 @@ class IdHatespeech(datasets.GeneratorBasedBuilder):
     def _info(self) -> datasets.DatasetInfo:
         if self.config.schema == "source":
             features = datasets.Features({"tweet": datasets.Value("string"), "label": datasets.Value("string")})
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(["Non_HS", "HS"])
    
 
@@ -111,7 +111,7 @@ class IdHatespeech(datasets.GeneratorBasedBuilder):
                 }
                 yield row.id, ex
 
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             for row in df.itertuples():
                 ex = {
                     "id": str(row.id),