first

govreport-summarization.py

@@ -0,0 +1,96 @@
+import json
+import os
+
+import datasets
+from datasets.tasks import TextClassification
+
+_DESCRIPTION = """
+ GovReport dataset for summarization.
+ From paper: Efficient Attentions for Long Document Summarization" by L. Huang et al.
+ See: https://arxiv.org/pdf/2104.02112.pdf 
+ See: https://github.com/luyang-huang96/LongDocSum
+"""
+_CITATION = """\
+    @misc{huang2021efficient,
+      title={Efficient Attentions for Long Document Summarization}, 
+      author={Luyang Huang and Shuyang Cao and Nikolaus Parulian and Heng Ji and Lu Wang},
+      year={2021},
+      eprint={2104.02112},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+    }
+}
+"""
+_ABSTRACT = "abstract"
+_ARTICLE = "article"
+
+class GovReportSummarizationConfig(datasets.BuilderConfig):
+    """BuilderConfig for GovReportSummarization."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for GovReportSummarization.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super(GovReportSummarizationConfig, self).__init__(**kwargs)
+
+
+class GovReportSummarizationDataset(datasets.GeneratorBasedBuilder):
+    """GovReportSummarization Dataset."""
+    
+    _TRAIN_FILE = "train.zip"
+    _VAL_FILE = "val.zip"
+    _TEST_FILE = "test.zip"
+
+    BUILDER_CONFIGS = [
+        GovReportSummarizationConfig(
+            name="document",
+            version=datasets.Version("1.0.0"),
+            description="GovReport dataset for summarization, document",
+        ),
+    ]
+
+    DEFAULT_CONFIG_NAME = "document"
+
+    def _info(self):
+        # Should return a datasets.DatasetInfo object
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    _ARTICLE: datasets.Value("string"),
+                    _ABSTRACT: datasets.Value("string"),
+                    #"id": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/luyang-huang96/LongDocSum",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+
+        train_path = dl_manager.download_and_extract(self._TRAIN_FILE) + "/train.txt"
+        val_path = dl_manager.download_and_extract(self._VAL_FILE) + "/val.txt"
+        test_path = dl_manager.download_and_extract(self._TEST_FILE) + "/test.txt"
+        
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": val_path}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"filepath": test_path}
+            ),
+        ]
+    
+    def _generate_examples(self, filepath):
+        """Generate GovReportSummarization examples."""
+        with open(filepath, encoding="utf-8") as f:
+            for id_, row in enumerate(f):
+                data = json.loads(row)
+                report = data["report"]
+                summary = data["summary"]
+                yield id_, {"report": report, "summary": summary}

test.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a88ab045b282014eb2509537e6423c3ac8cb0bd709a6f13f1f54c00b74992a66
+size 14617513

train.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd34bc80bb468f68dc7ffe6ba0a70fcce292b397a081e746da243432460a7721
+size 276873459

valid.zip

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:65fe863ce429f5ad669744aae2de57490d2970b1ade8bc1094386c0599d3307b
+size 15912114