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indo_puisi.py

@@ -4,14 +4,14 @@ 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)
 
 _DATASETNAME = "indo_puisi"
 _SOURCE_VIEW_NAME = DEFAULT_SOURCE_VIEW_NAME
-_UNIFIED_VIEW_NAME = DEFAULT_NUSANTARA_VIEW_NAME
+_UNIFIED_VIEW_NAME = DEFAULT_SEACROWD_VIEW_NAME
 
 _CITATION = """
 """
@@ -31,7 +31,7 @@ _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 _URLS = {
     "train": "https://raw.githubusercontent.com/ilhamfp/puisi-pantun-generator/main/data/puisi.csv",
@@ -42,18 +42,18 @@ class IndoPuisi(datasets.GeneratorBasedBuilder):
     """IndoPuisi contains 7223 Indonesian puisi along with the title and author."""
 
     BUILDER_CONFIGS = (
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indo_puisi_source",
             version=_SOURCE_VERSION,
             description="Indo puisi source schema",
             schema="source",
             subset_id="indo_puisi",
         ),
-        NusantaraConfig(
-            name="indo_puisi_nusantara_ssp",
-            version=_NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="indo_puisi_seacrowd_ssp",
+            version=_SEACROWD_VERSION,
             description="Indo puisi Nusantara schema",
-            schema="nusantara_ssp",
+            schema="seacrowd_ssp",
             subset_id="indo_puisi",
         ),
     )
@@ -71,7 +71,7 @@ class IndoPuisi(datasets.GeneratorBasedBuilder):
                     "puisi_with_header": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_ssp":
+        elif self.config.schema == "seacrowd_ssp":
             features = schemas.self_supervised_pretraining.features
         else:
             raise ValueError(f"Invalid config schema: {self.config.schema}")
@@ -96,7 +96,7 @@ class IndoPuisi(datasets.GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath: Path) -> Tuple[int, Dict]:
-        if self.config.schema != "source" and self.config.schema != "nusantara_ssp":
+        if self.config.schema != "source" and self.config.schema != "seacrowd_ssp":
             raise ValueError(f"Invalid config schema: {self.config.schema}")
 
         df = pd.read_csv(filepath).reset_index()
@@ -111,7 +111,7 @@ class IndoPuisi(datasets.GeneratorBasedBuilder):
                 }
                 yield row.index, ex
 
-        elif self.config.name == "indo_puisi_nusantara_ssp":
+        elif self.config.name == "indo_puisi_seacrowd_ssp":
             for row in df.itertuples():
                 ex = {"id": str(row.index), "text": str(row.puisi).rstrip()}
                 yield row.index, ex