Fix dataset

README.md

@@ -5,4 +5,7 @@ language:
 - uz
 size_categories:
 - 1K<n<10K
+configs:
+- config_name: default
+  data_files: aspect-based-sentiment-analysis-uzbek.parquet
 ---

aspect-based-sentiment-analysis-uzbek.py

@@ -1,51 +0,0 @@
-import json
-import datasets
-from datasets import GeneratorBasedBuilder, DatasetInfo, Split, SplitGenerator, Features, Value, Sequence
-
-_BASE_URL = "https://drive.google.com/uc?export=download&id=12J5C6knWWPebLsjdZt0zCU4GKzDO5kGa"
-
-
-class UzABSA(GeneratorBasedBuilder):
-    VERSION = datasets.Version("1.0.0")
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name="uzabsa", version=VERSION,
-                               description="UZABSA dataset for sentiment analysis in Uzbek"),
-    ]
-
-    def _info(self):
-        return DatasetInfo(
-            features=Features({
-                "sentence_id": Value("string"),
-                "text": Value("string"),
-                "aspect_terms": Sequence({
-                    "term": Value("string"),
-                    "polarity": Value("string"),
-                    "from": Value("int32"),
-                    "to": Value("int32"),
-                }),
-                "aspect_categories": Sequence({
-                    "category": Value("string"),
-                    "polarity": Value("string"),
-                }),
-            })
-        )
-
-    def _split_generators(self, dl_manager):
-        # Use the dl_manager to download and cache the data
-        downloaded_file = dl_manager.download_and_extract(_BASE_URL)
-        return [
-            SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": downloaded_file}),
-        ]
-
-    def _generate_examples(self, filepath):
-        # 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"],
-                }

aspect-based-sentiment-analysis-uzbek.yaml

@@ -1,51 +0,0 @@
-# aspect-based-sentiment-analysis-uzbek.yaml
-
-name: uzabsa
-description: UZABSA dataset for sentiment analysis in Uzbek
-homepage: https://drive.google.com/uc?export=download&id=12J5C6knWWPebLsjdZt0zCU4GKzDO5kGa
-license: "unknown"  # Please specify an appropriate license if known
-version: "1.0.0"
-citation: "unknown"  # If there's a paper or source, cite it here
-
-post_processed:
-  features:
-    - name: sentence_id
-      type: string
-      description: The unique ID of the sentence.
-    - name: text
-      type: string
-      description: The actual sentence or text.
-    - name: aspect_terms
-      type: sequence
-      description: List of aspect terms present in the sentence.
-      item:
-        type: mapping
-        properties:
-          - name: term
-            type: string
-            description: The aspect term.
-          - name: polarity
-            type: string
-            description: Polarity of the aspect term.
-          - name: from
-            type: int32
-            description: Start index of the aspect term in the sentence.
-          - name: to
-            type: int32
-            description: End index of the aspect term in the sentence.
-    - name: aspect_categories
-      type: sequence
-      description: List of aspect categories present in the sentence.
-      item:
-        type: mapping
-        properties:
-          - name: category
-            type: string
-            description: The aspect category.
-          - name: polarity
-            type: string
-            description: Polarity of the aspect category.
-
-splits:
-  - name: train
-    path: aspect-based-sentiment-analysis-uzbek.jsonl