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facqa.py

@@ -5,10 +5,10 @@ from typing import Dict, List, Tuple
 import datasets
 import pandas as pd
 
-from nusacrowd.nusa_datasets.facqa.utils.facqa_utils import (getAnswerString, listToString)
-from nusacrowd.utils import schemas
-from nusacrowd.utils.configs import NusantaraConfig
-from nusacrowd.utils.constants import Tasks
+from seacrowd.sea_datasets.facqa.utils.facqa_utils import (getAnswerString, listToString)
+from seacrowd.utils import schemas
+from seacrowd.utils.configs import SEACrowdConfig
+from seacrowd.utils.constants import Tasks
 
 _CITATION = """
 @inproceedings{purwarianti2007machine,
@@ -48,28 +48,28 @@ _SUPPORTED_TASKS = [Tasks.QUESTION_ANSWERING]
 
 _SOURCE_VERSION = "1.0.0"
 
-_NUSANTARA_VERSION = "1.0.0"
+_SEACROWD_VERSION = "2024.06.20"
 
 
 class FacqaDataset(datasets.GeneratorBasedBuilder):
     """FacQA dataset is a labeled dataset for indonesian question answering task"""
 
     SOURCE_VERSION = datasets.Version(_SOURCE_VERSION)
-    NUSANTARA_VERSION = datasets.Version(_NUSANTARA_VERSION)
+    SEACROWD_VERSION = datasets.Version(_SEACROWD_VERSION)
 
     BUILDER_CONFIGS = [
-        NusantaraConfig(
+        SEACrowdConfig(
             name="facqa_source",
             version=SOURCE_VERSION,
             description="FacQA source schema",
             schema="source",
             subset_id="facqa",
         ),
-        NusantaraConfig(
-            name="facqa_nusantara_qa",
-            version=NUSANTARA_VERSION,
+        SEACrowdConfig(
+            name="facqa_seacrowd_qa",
+            version=SEACROWD_VERSION,
             description="FacQA Nusantara schema",
-            schema="nusantara_qa",
+            schema="seacrowd_qa",
             subset_id="facqa",
         ),
     ]
@@ -86,7 +86,7 @@ class FacqaDataset(datasets.GeneratorBasedBuilder):
                     "seq_label": [datasets.Value("string")],
                 }
             )
-        elif self.config.schema == "nusantara_qa":
+        elif self.config.schema == "seacrowd_qa":
             features = schemas.qa_features
 
         return datasets.DatasetInfo(
@@ -140,7 +140,7 @@ class FacqaDataset(datasets.GeneratorBasedBuilder):
                 entry = {"index": row.index, "question": ast.literal_eval(row.question), "passage": ast.literal_eval(row.passage), "seq_label": ast.literal_eval(row.seq_label)}
                 yield row.index, entry
 
-        elif self.config.schema == "nusantara_qa":
+        elif self.config.schema == "seacrowd_qa":
             for row in df.itertuples():
                 entry = {
                     "id": str(row.index),
@@ -151,5 +151,6 @@ class FacqaDataset(datasets.GeneratorBasedBuilder):
                     "choices": [],
                     "context": listToString(ast.literal_eval(row.passage)),
                     "answer": [getAnswerString(ast.literal_eval(row.passage), ast.literal_eval(row.seq_label))],
+                    "meta": {}
                 }
                 yield row.index, entry