Update parquet files

README.md

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----
-license: mit
----

data.zip → default/newshead-test.parquet

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+size 17953291

default/newshead-train-00000-of-00005.parquet

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+size 299009869

default/newshead-train-00001-of-00005.parquet

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default/newshead-train-00002-of-00005.parquet

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default/newshead-train-00003-of-00005.parquet

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default/newshead-train-00004-of-00005.parquet

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+size 94236070

default/newshead-validation.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:701a9bec099f0b43258c1509f7cc54a25ac4d140ffaa538a0bad60078e500e59
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newshead.py

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-import os
-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):
-        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"),
-                    "split": "train"
-                }
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs = {
-                    "filepath": os.path.join(data_dir, "validation.jsonl"),
-                    "split": "validation"
-                }
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs = {
-                    "filepath": os.path.join(data_dir, "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"]
-                }