builder

jira-comments.py

@@ -0,0 +1,74 @@
+"""The BookCorpus dataset."""
+
+import datasets, os
+
+
+_DESCRIPTION = """\
+Dataset of jira comments from different projects of Apache and more.
+"""
+
+_CITATION = """\
+@InProceedings{Zhu_2015_ICCV,
+    title = {Jira commentaries},
+    author = {Filipp Abapolov},
+    month = {Fubruary},
+    year = {2023}
+}
+"""
+
+
+_REPO = "https://huggingface.co/datasets/pheepa/jira-comments"
+_URL = f"/data/{_REPO}/jira-comments.tar.gz"
+
+
+class JiraCommentsConfig(datasets.BuilderConfig):
+    """BuilderConfig for BookCorpus."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for BookCorpus.
+        Args:
+        **kwargs: keyword arguments forwarded to super.
+        """
+        super(JiraCommentsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
+
+        self.path = "jira-comments.txt"
+
+
+class JiraComments(datasets.GeneratorBasedBuilder):
+    """JiraComments dataset."""
+
+    BUILDER_CONFIGS = [
+        JiraCommentsConfig(
+            name="plain_text",
+            description="Plain text",
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "text": datasets.Value("string"),
+                }
+            ),
+            supervised_keys=None,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        """Returns SplitGenerators."""
+        data_dir = dl_manager.download_and_extract(_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={"filepath": os.path.join(data_dir, self.config.path)},
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, 'r') as f:
+            for id_, line in enumerate(f):
+                yield id_, {"text": line}