Upload indotacos.py with huggingface_hub

indotacos.py

@@ -3,9 +3,9 @@ from typing import List
 
 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
 
@@ -32,7 +32,7 @@ _HOMEPAGE = "https://www.kaggle.com/datasets/christianwbsn/indonesia-tax-court-v
 _LICENSE = "Creative Common Attribution Share-Alike 4.0 International"
 
 # For publicly available datasets you will most likely end up passing these URLs to dl_manager in _split_generators.
-# In most cases the URLs will be the same for the source and nusantara config.
+# In most cases the URLs will be the same for the source and seacrowd config.
 # However, if you need to access different files for each config you can have multiple entries in this dict.
 # This can be an arbitrarily nested dict/list of URLs (see below in `_split_generators` method)
 _URLS = {_DATASETNAME: {"indotacos": "https://huggingface.co/datasets/christianwbsn/indotacos/resolve/main/indonesia_tax_court_verdict.csv"}}
@@ -41,28 +41,28 @@ _SUPPORTED_TASKS = [Tasks.TAX_COURT_VERDICT]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class IndoTacos(datasets.GeneratorBasedBuilder):
     """IndoTacos, an Indonesian Tax Court verdict summary containing 12283 tax court cases provided by perpajakan.ddtc.co.id."""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="indotacos_source",
             version=SOURCE_VERSION,
             description="indotacos source schema",
             schema="source",
             subset_id="indotacos",
         ),
-        NusantaraConfig(
-            name="indotacos_nusantara_text",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="indotacos_seacrowd_text",
+            version=SEACROWD_VERSION,
             description="IndoTacos Nusantara schema",
-            schema="nusantara_text",
+            schema="seacrowd_text",
             subset_id="indotacos",
         ),
     ]
@@ -85,7 +85,7 @@ class IndoTacos(datasets.GeneratorBasedBuilder):
                     "jenis_putusan": datasets.Value("string"),
                 }
             )
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             features = schemas.text_features(self.labels)
 
         return datasets.DatasetInfo(
@@ -127,7 +127,7 @@ class IndoTacos(datasets.GeneratorBasedBuilder):
                 }
                 yield row_id, ex
                 row_id += 1
-        elif self.config.schema == "nusantara_text":
+        elif self.config.schema == "seacrowd_text":
             row_id = 1
             for row in df.itertuples():
                 ex = {