Upload imdb_jv.py with huggingface_hub

imdb_jv.py

@@ -4,9 +4,9 @@ from typing import Dict, List, Tuple
 
 import datasets
 
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
-from nusacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
+from seacrowd.utils import schemas
 import pandas as pd
 
 _CITATION = """\
@@ -41,27 +41,27 @@ _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 class IMDbJv(datasets.GeneratorBasedBuilder):
     """Javanese Imdb Movie Reviews Dataset is a Javanese version of the IMDb Movie Reviews dataset by translating the original English dataset to Javanese."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="imdb_jv_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="imdb_jv source schema",
             schema="source",
             subset_id="imdb_jv",
         ),
-        NusantaraConfig(
-            name="imdb_jv_nusantara_text",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="imdb_jv_seacrowd_text",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="imdb_jv Nusantara schema",
-            schema="nusantara_text",
+            schema="seacrowd_text",
             subset_id="imdb_jv",
         ),
     ]
@@ -77,7 +77,7 @@ class IMDbJv(datasets.GeneratorBasedBuilder):
                     "label": datasets.Value("string")
                }
             )
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(['1', '0', '-1'])
 
         return datasets.DatasetInfo(
@@ -135,7 +135,7 @@ class IMDbJv(datasets.GeneratorBasedBuilder):
                 }
                 yield id, ex
 
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             data = pd.read_csv(filepath)
             length = len(data['label'])
             for id in range(length):