Upload code_mixed_jv_id.py with huggingface_hub

code_mixed_jv_id.py

@@ -36,7 +36,7 @@ showed that the reason for the misclassified was that most of Indonesian
 language and Javanese language consist of words that were considered as
 positive in both Lexicon model.
 
-[nusantara_schema_name] = (text, t2t)
+[seacrowd_schema_name] = (text, t2t)
 """
 from pathlib import Path
 from typing import Dict, List, Tuple
@@ -44,9 +44,9 @@ 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 = """\
 @article{Tho_2021,
@@ -100,7 +100,7 @@ _SUPPORTED_TASKS = [Tasks.SENTIMENT_ANALYSIS, Tasks.MACHINE_TRANSLATION]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 _LANGUAGES = ['jav', 'ind']
 _LOCAL = False
@@ -115,35 +115,35 @@ class CodeMixedSenti(datasets.GeneratorBasedBuilder):
     """Code-mixed sentiment analysis for Indonesian and Javanese."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="code_mixed_jv_id_source",
             version=SOURCE_VERSION,
             description="code_mixed_jv_id source schema for Javanese and Indonesian",
             schema="source",
             subset_id="code_mixed_source",
         ),
-        NusantaraConfig(
-            name="code_mixed_jv_id_jv_nusantara_text",
-            version=NUSANTARA_VERSION,
-            description="code_mixed_jv_id nusantara_text schema for Javanese",
-            schema="nusantara_text",
+        SEACrowdConfig(
+            name="code_mixed_jv_id_jv_seacrowd_text",
+            version=SEACROWD_VERSION,
+            description="code_mixed_jv_id seacrowd_text schema for Javanese",
+            schema="seacrowd_text",
             subset_id="code_mixed_jv",
         ),
-        NusantaraConfig(
-            name="code_mixed_jv_id_id_nusantara_text",
-            version=NUSANTARA_VERSION,
-            description="code_mixed_jv_id nusantara_text schema for Indonesian",
-            schema="nusantara_text",
+        SEACrowdConfig(
+            name="code_mixed_jv_id_id_seacrowd_text",
+            version=SEACROWD_VERSION,
+            description="code_mixed_jv_id seacrowd_text schema for Indonesian",
+            schema="seacrowd_text",
             subset_id="code_mixed_id",
         ),
-        NusantaraConfig(
-            name="code_mixed_jv_id_nusantara_t2t",
-            version=NUSANTARA_VERSION,
-            description="code_mixed_jv_id nusantara_t2t schema for Javanese and Indonesian",
-            schema="nusantara_t2t",
+        SEACrowdConfig(
+            name="code_mixed_jv_id_seacrowd_t2t",
+            version=SEACROWD_VERSION,
+            description="code_mixed_jv_id seacrowd_t2t schema for Javanese and Indonesian",
+            schema="seacrowd_t2t",
             subset_id="code_mixed_jv_id",
         )
     ]
@@ -157,9 +157,9 @@ class CodeMixedSenti(datasets.GeneratorBasedBuilder):
                 "text_ind": datasets.Value("string"),
                 "label": datasets.Value("int32")
             })
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(["-1", "0", "1"])
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             features = schemas.text2text_features
 
         return datasets.DatasetInfo(description=_DESCRIPTION, features=features, homepage=_HOMEPAGE, license=_LICENSE, citation=_CITATION,)
@@ -182,7 +182,7 @@ class CodeMixedSenti(datasets.GeneratorBasedBuilder):
                 ex = {"text_jav": row.text_jav, "text_ind": row.text_ind, "label": row.label}
                 yield i, ex
                 i += 1
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             prefix_length = len(_DATASETNAME)
             start = prefix_length + 1
             end = prefix_length + 1 + 2
@@ -194,12 +194,9 @@ class CodeMixedSenti(datasets.GeneratorBasedBuilder):
                 ex = {"id": str(i), "text": row.text, "label": str(row.label)}
                 yield i, ex
                 i += 1
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             i = 0
             for row in df.itertuples():
                 ex = {"id": str(i), "text_1": row.text_jav, "text_2": row.text_ind, "text_1_name": "jav", "text_2_name": "ind"}
                 yield i, ex
                 i += 1
-
-if __name__ == "__main__":
-    datasets.load_dataset(__file__)