Upload tajik-text-segmentation.py

tajik-text-segmentation.py

@@ -0,0 +1,92 @@
+"""Custom Annotations Dataset."""
+
+import os
+from annotations_parser import load_yedda_annotations
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+
+
+_CITATION = """
+@misc{tajik-text-segmentation-2023,
+    title={Tajik sentence-wise text segmentation dataset},
+    author={Sobir Bobiev},
+    year={2023},
+    howpublished={\\url{https://huggingface.co/datasets/sobir-hf/tajik-text-segmentation}},
+}
+"""
+
+_DESCRIPTION = """
+Tajik sentence-wise text segmentation dataset consisting of annotated text files.
+"""
+
+class CustomAnnotationsConfig(datasets.BuilderConfig):
+    """BuilderConfig for Custom Annotations."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for Custom Annotations.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(CustomAnnotationsConfig, self).__init__(**kwargs)
+
+
+class CustomAnnotations(datasets.GeneratorBasedBuilder):
+    """Custom Annotations: Dataset with annotated text files."""
+
+    BUILDER_CONFIGS = [
+        CustomAnnotationsConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0", ""),
+            description="Plain text",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "file": datasets.Value("string"),
+                    "text": datasets.Value("string"),
+                    "annotated_text": datasets.Value("string"),
+                    "number_of_labels": datasets.Value("int32"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="your dataset homepage",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        directory_path = os.path.abspath('annotations')
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"directory_path": directory_path}),
+        ]
+
+    def _generate_examples(self, directory_path):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", directory_path)
+        
+        annotations = load_yedda_annotations(directory_path)
+        
+        for idx, file_annotation in enumerate(annotations):
+            file = file_annotation['file']
+            text = file_annotation['text']
+            annotated_text = file_annotation['annotated_text']
+            number_of_labels = len(file_annotation['labels'])
+            
+            yield idx, {
+                "file": file,
+                "text": text,
+                "annotated_text": annotated_text,
+                "number_of_labels": number_of_labels,
+            }
+
+if __name__ == '__main__':
+    # You can test the data generation by running this script.
+    # It will create a dataset in a subdirectory `./datasets/`.
+    from datasets import load_dataset
+    dataset = load_dataset('./tajik-text-segmentation.py')
+    print(dataset)