files

newshead.py

@@ -0,0 +1,50 @@
+import json
+import datasets
+from datasets import DownloadManager
+_URL = "data.zip"
+
+class NewsHeadDataset(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description = "newshead multi document summarisation dataset",
+            features = datasets.Features(
+                {
+                    "documents": datasets.Value("string"),
+                    "summary": datasets.Value("string")
+                }
+            )
+        )
+
+    def _split_generators(self, dl_manager: DownloadManager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs = {
+                    "filepath": os.path.join(_URL, "train.jsonl"),
+                    "split": "train"
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs = {
+                    "filepath": os.path.join(_URL, "validation.jsonl"),
+                    "split": "validation"
+                }
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs = {
+                    "filepath": os.path.join(_URL, "validation.jsonl"),
+                    "split": "test"
+                }
+            )
+        ]
+
+    def _generate_examples(self, filepath, split):
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                yield id_, {
+                    "documents": data["text"],
+                    "summary": data["summary"]
+                }