Create vihos.py

vihos.py

@@ -0,0 +1,53 @@
+"""ViHOS - Vietnamese Hate and Offensive Spans dataset"""
+
+import json
+import datasets
+
+_DESCRIPTION = """\
+This is a dataset of Vietnamese Hate and Offensive Spans dataset from social media texts.
+"""
+
+_HOMEPAGE = "https://huggingface.co/datasets/phusroyal/ViHOS"
+
+_LICENSE = "mit"
+
+_URLS = [
+    "https://huggingface.co/datasets/phusroyal/ViHOS/blob/main/train_span_extraction/train.csv"
+]
+
+class ViHOS(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("0.1.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "id": datasets.Value("string"),
+                    "content": datasets.Value("string"),
+                    "index_spans": datasets.Value("string")
+                }
+            ),
+            homepage=_HOMEPAGE,
+            license=_LICENSE
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URLS)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": data_dir[0],
+                    "split": "test",
+                },
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, 'r', encoding="utf-8") as f:
+            for i, line in enumerate(f):
+                data = json.loads(line)
+                if data['description'] is None:
+                    data['description'] = ''
+                yield i, data