Create TempoSum.py

TempoSum.py

@@ -0,0 +1,95 @@
+"""The TempoSum benchmark."""
+
+import json
+import os
+import datasets
+
+_CITATION = """
+@misc{cheang2023temposum,
+Author = {Chi Seng Cheang and Hou Pong Chan and Derek F. Wong and Xuebo Liu and Zhaocong Li and Yanming Sun and Shudong Liu and Lidia S. Chao},
+Title = {TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization},
+Year = {2023},
+"""
+
+_DESCRIPTION = """TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization"""
+
+_URL = "https://huggingface.co/datasets/chiseng-cheang/TempoSum/tree/main/data"
+
+_DATASET_CONFIGS = {
+    "BBC_in-distribution": {
+        "urls": {
+            datasets.Split.TEST: os.path.join(_URL, "bbc_in_distribution.tar.gz"),
+        },
+    },
+    "BBC_future": {
+        "urls": {
+            datasets.Split.TEST: os.path.join(_URL, "bbc_future.tar.gz"),
+        },
+    },
+    "CNN_in-distribution": {
+        "urls": {
+            datasets.Split.TEST: os.path.join(_URL, "cnn_in_distribution.tar.gz"),
+        },
+    },
+    "CNN_future": {
+        "urls": {
+            datasets.Split.TEST: os.path.join(_URL, "cnn_future.tar.gz"),
+        },
+    },
+}
+
+_DOCUMENT = "document"
+_SUMMARY = "summary"
+
+class TempoSumConfig(datasets.BuilderConfig):
+    """BuilderConfig for TempoSum."""
+    def __init__(self, urls, **kwargs):
+        super(TempoSumConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs)
+        self.features = datasets.Features({
+            _DOCUMENT: datasets.Value("string"),
+            _SUMMARY: datasets.Value("string"),
+        })
+        self.urls = urls
+
+class TempoSum(datasets.GeneratorBasedBuilder):
+    """The TempoSum benchmark."""
+    BUILDER_CONFIGS = []
+
+    for datasplit_name, datasplit_config in _DATASET_CONFIGS.items():
+        BUILDER_CONFIGS.append(
+            TempoSumConfig(
+                name=datasplit_name,
+                urls=datasplit_config['urls'],
+            )
+        )
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            homepage="https://github.com/AndyCheang/TempoSum",
+        )
+
+    def _split_generators(self, dl_manager):
+        dl_dirs = dl_manager.download_and_extract(self.config.urls)
+        splits = []
+        for split in dl_dirs:
+            splits.append(
+                datasets.SplitGenerator(
+                    name=split._name,
+                    gen_kwargs={
+                        'data_file': dl_dirs[split],
+                        'split': split,
+                    }
+                )
+            )
+        return splits
+
+    def _generate_examples(self, data_file, split):
+        document_path = os.path.join(data_file, _DOCUMENT)
+        summary_path = os.path.join(data_file, _SUMMARY)
+        with open(document_path, 'r') as document_reader, open(summary_path, 'r') as summary_reader:
+            for idx, (document, summary) in enumerate(zip(document_reader, summary_reader)):
+                yield idx, {
+                    _DOCUMENT: document,
+                    _SUMMARY: summary,
+                }