Upload indo_general_mt_en_id.py with huggingface_hub

indo_general_mt_en_id.py

@@ -3,9 +3,9 @@ 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
 
 _CITATION = """\
 @inproceedings{guntara-etal-2020-benchmarking,
@@ -48,25 +48,25 @@ _URLS = {
 _SUPPORTED_TASKS = [Tasks.MACHINE_TRANSLATION]
 # Dataset does not have versioning
 _SOURCE_VERSION = "1.0.0"
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IndoGeneralMTEnId(datasets.GeneratorBasedBuilder):
     """Indonesian General Domain MT En-Id is a machine translation dataset containing English-Indonesian parallel sentences collected from the general manuscripts."""
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indo_general_mt_en_id_source",
             version=datasets.Version(_SOURCE_VERSION),
             description="Indonesian General Domain MT En-Id source schema",
             schema="source",
             subset_id="indo_general_mt_en_id",
         ),
-        NusantaraConfig(
-            name="indo_general_mt_en_id_nusantara_t2t",
-            version=datasets.Version(_NUSANTARA_VERSION),
+        SEACrowdConfig(
+            name="indo_general_mt_en_id_seacrowd_t2t",
+            version=datasets.Version(_SEACROWD_VERSION),
             description="Indonesian General Domain MT Nusantara schema",
-            schema="nusantara_t2t",
+            schema="seacrowd_t2t",
             subset_id="indo_general_mt_en_id",
         ),
     ]
@@ -82,7 +82,7 @@ class IndoGeneralMTEnId(datasets.GeneratorBasedBuilder):
                     "tgt": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             features = schemas.text2text_features
 
         return datasets.DatasetInfo(
@@ -154,7 +154,7 @@ class IndoGeneralMTEnId(datasets.GeneratorBasedBuilder):
                     "tgt": tgt,
                 }
                 yield id, row
-        elif self.config.schema == "nusantara_t2t":
+        elif self.config.schema == "seacrowd_t2t":
             for id, (src, tgt) in enumerate(zip(data_en, data_id)):
                 row = {
                     "id": str(id),