changed the GeneratorBasedBuilder

aspect-based-sentiment-analysis-uzbek.py

@@ -2,22 +2,18 @@ import os
 import xml.etree.ElementTree as ET
 
 import datasets
-from datasets import Features, Value, Sequence, DatasetInfo
+from datasets import GeneratorBasedBuilder, DatasetInfo, Split, SplitGenerator, Features, Value, Sequence
 
 
-class UZABSAConfig(datasets.BuilderConfig):
-    def __init__(self, **kwargs):
-        super(UZABSAConfig, self).__init__(version="1.0.0", **kwargs)
+class UzABSA(GeneratorBasedBuilder):
+    VERSION = datasets.Version("1.0.0")
 
-
-class UzABSA(datasets.DatasetBuilder):
-    BUILDER_CONFIG_CLASS = UZABSAConfig
     BUILDER_CONFIGS = [
-        UZABSAConfig(name="uzabsa", description="Uzbek ABSA data"),
+        datasets.BuilderConfig(name="uzabsa", version=VERSION,
+                               description="UZABSA dataset for sentiment analysis in Uzbek"),
     ]
 
     def _info(self):
-        # Define the data features
         return DatasetInfo(
             features=Features({
                 "sentence_id": Value("string"),
@@ -36,15 +32,9 @@ class UzABSA(datasets.DatasetBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # Use os.path.join to find the XML file path
-        filepath = os.path.join(os.path.dirname(os.path.abspath(__file__)), "data/absa_uz_all.xml")
+        filepath = os.path.join(self.config.data_dir, "/datasets/uzabsa_all.xml")
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepath": filepath,
-                },
-            ),
+            SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": filepath}),
         ]
 
     def _generate_examples(self, filepath):
@@ -52,32 +42,28 @@ class UzABSA(datasets.DatasetBuilder):
         root = tree.getroot()
 
         for sentence in root.findall("sentence"):
-            sentence_id = sentence.attrib["ID"]
+            sentence_id = sentence.get("ID")
             text = sentence.find("text").text
 
             aspect_terms = []
-            for aspect_term in sentence.findall(".//aspectTerms/aspectTerm"):
-                aspect_terms.append(
-                    {
-                        "term": aspect_term.attrib["term"],
-                        "polarity": aspect_term.attrib["polarity"],
-                        "from": int(aspect_term.attrib["from"]),
-                        "to": int(aspect_term.attrib["to"]),
-                    }
-                )
+            for aspect_term in sentence.findall("./aspectTerms/aspectTerm"):
+                aspect_terms.append({
+                    "term": aspect_term.get("term"),
+                    "polarity": aspect_term.get("polarity"),
+                    "from": int(aspect_term.get("from")),
+                    "to": int(aspect_term.get("to")),
+                })
 
             aspect_categories = []
-            for aspect_category in sentence.findall(".//aspectCategories/aspectCategory"):
-                aspect_categories.append(
-                    {
-                        "category": aspect_category.attrib["category"],
-                        "polarity": aspect_category.attrib["polarity"],
-                    }
-                )
+            for aspect_category in sentence.findall("./aspectCategories/aspectCategory"):
+                aspect_categories.append({
+                    "category": aspect_category.get("category"),
+                    "polarity": aspect_category.get("polarity"),
+                })
 
             yield sentence_id, {
                 "sentence_id": sentence_id,
                 "text": text,
                 "aspect_terms": aspect_terms,
                 "aspect_categories": aspect_categories,
-            }
+            }