script

maroondata.py

@@ -0,0 +1,74 @@
+"""Maroon Indonesian 100k Summarization Dataset."""
+
+
+import json
+import os
+
+import datasets
+
+_DESCRIPTION = """\
+Combine IndoSum + Liputan6 in 100k rows. 
+"""
+
+_URL = "https://huggingface.co/datasets/bgspaditya/maroon100k/blob/main/maroondata.tar.bz2"
+
+class Maroon100k(datasets.GeneratorBasedBuilder):
+    VERSION = datasets.Version("2.0.0")
+    
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="Maroon100k",
+            version=datasets.Version("2.0.0")
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "article": datasets.Value("string"),
+                    "summary": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            # citation=_CITATION,
+            # license=_LICENSE,
+            version=self.VERSION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        url = _URL
+
+        data_dir = dl_manager.download_and_extract(url)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "train.jsonl"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "test.jsonl"),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "valid.jsonl"),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples as (key, example) tuples."""
+        with open(filepath, encoding="utf-8") as f:
+            for idx_, row in enumerate(f):
+                data = json.loads(row)
+                yield idx_, {
+                    "article": data["article"],
+                    "summary": data["summary"],
+                }