Upload id_frog_story.py with huggingface_hub

id_frog_story.py

@@ -4,9 +4,9 @@ from typing import List
 
 import datasets
 
-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, Licenses
 
 _CITATION = """\
 @article{FrogStorytelling,
@@ -31,32 +31,32 @@ Indonesian written and spoken corpus, based on the twenty-eight pictures. (http:
 """
 _HOMEPAGE = "https://github.com/matbahasa/corpus-frog-storytelling"
 _LANGUAGES = ["ind"]
-_LICENSE = "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)"
+_LICENSE = Licenses.CC_BY_SA_4_0.value
 _LOCAL = False
 _URLS = {
     _DATASETNAME: "https://github.com/matbahasa/corpus-frog-storytelling/archive/refs/heads/master.zip",
 }
 _SUPPORTED_TASKS = [Tasks.SELF_SUPERVISED_PRETRAINING]
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IdFrogStory(datasets.GeneratorBasedBuilder):
     """IdFrogStory contains 13 spoken datasets and 11 written datasets"""
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="id_frog_story_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="IdFrogStory source schema",
             schema="source",
             subset_id="id_frog_story",
         ),
-        NusantaraConfig(
-            name="id_frog_story_nusantara_ssp",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="id_frog_story_seacrowd_ssp",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="IdFrogStory Nusantara schema",
-            schema="nusantara_ssp",
+            schema="seacrowd_ssp",
             subset_id="id_frog_story",
         ),
     ]
@@ -71,7 +71,7 @@ class IdFrogStory(datasets.GeneratorBasedBuilder):
                     "text": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_ssp":
+        elif self.config.schema == "seacrowd_ssp":
             features = schemas.self_supervised_pretraining.features
 
         return datasets.DatasetInfo(
@@ -119,7 +119,7 @@ class IdFrogStory(datasets.GeneratorBasedBuilder):
                     "text": row
                 }
                 yield index, ex
-        elif self.config.schema == "nusantara_ssp":
+        elif self.config.schema == "seacrowd_ssp":
             for index, row in enumerate(data):
                 ex = {
                     "id": index,