Script is changed to JSON read

data/aspect-based-sentiment-analysis-uzbek1.py → aspect-based-sentiment-analysis-uzbek.py

@@ -1,9 +1,9 @@
-import os
-import xml.etree.ElementTree as ET
+import json
 import datasets
 from datasets import GeneratorBasedBuilder, DatasetInfo, Split, SplitGenerator, Features, Value, Sequence
 
-_BASE_URL = "https://drive.google.com/uc?export=download&id=1U_gLunKFDH5zZ8shXEGOzAn8gK5l2cbC"
+_BASE_URL = "https://drive.google.com/uc?export=download&id=12J5C6knWWPebLsjdZt0zCU4GKzDO5kGa"
+
 
 class UzABSA(GeneratorBasedBuilder):
     VERSION = datasets.Version("1.0.0")
@@ -39,32 +39,13 @@ class UzABSA(GeneratorBasedBuilder):
         ]
 
     def _generate_examples(self, filepath):
-        tree = ET.parse(filepath)
-        root = tree.getroot()
-
-        for sentence in root.findall("sentence"):
-            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.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.get("category"),
-                    "polarity": aspect_category.get("polarity"),
-                })
-
-            yield sentence_id, {
-                "sentence_id": sentence_id,
-                "text": text,
-                "aspect_terms": aspect_terms,
-                "aspect_categories": aspect_categories,
-            }
+        # Now we'll read the jsonl format
+        with open(filepath, 'r') as file:
+            for line in file:
+                record = json.loads(line.strip())
+                yield record["sentence_id"], {
+                    "sentence_id": record["sentence_id"],
+                    "text": record["text"],
+                    "aspect_terms": record["aspect_terms"],
+                    "aspect_categories": record["aspect_categories"],
+                }