Create vlsp.py

vlsp.py

@@ -0,0 +1,81 @@
+# coding=utf-8
+# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""VLSP: Very Long Scientific Papers"""
+
+
+import os
+import glob
+
+import datasets
+
+
+_CITATION = """"""
+_DESCRIPTION = """\
+Very Long version of the scientific papers summarization dataset. Only includes theses over 10,000 tokens long.
+"""
+_HOMEPAGE = "https://github.com/ghomasHudson/very_long_scientific_papers"
+_URL = "https://github.com/ghomasHudson/very_long_scientific_papers/archive/master.zip"
+
+class VLSP(datasets.GeneratorBasedBuilder):
+    """VLSP: Very Long Scientific Papers"""
+
+    VERSION = datasets.Version("1.1.0")
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(name="arxiv", description="Arxiv theses"),
+    ]
+
+    DEFAULT_CONFIG_NAME = "arxiv"
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "abstract": datasets.features.Sequence(
+                        datasets.Value("string")
+                    ),
+                    "article": datasets.Value("string"),
+                }
+            ),
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir,"very_long_scientific_papers-master", "deduped-test"),
+                }
+            )
+        ]
+
+    def _generate_examples(self, filepath):
+        for key, fn in enumerate(glob.glob(os.path.join(filepath, "*.main.txt"))):
+            summary = []
+            summ_fn = fn.replace(".main.", ".abstract.")
+            if os.path.exists(summ_fn):
+                summary.append(open(summ_fn).read())
+            summ_fn = fn.replace(".main.", ".abstract-long.")
+            if os.path.exists(summ_fn):
+                summary.append(open(summ_fn).read())
+
+            yield key, {
+                "article": open(fn).read(),
+                "abstract": summary
+            }