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.gitattributes

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README.md

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+---
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- jira
+pretty_name: jira-comments
+size_categories:
+- 1M<n<10M
+---
+# Dataset Card for Dataset Name
+
+## Dataset Description
+
+- **Homepage:** 
+- **Repository:** 
+- **Paper:** 
+- **Leaderboard:** 
+- **Point of Contact:** 
+
+### Dataset Summary
+
+This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+
+### Supported Tasks and Leaderboards
+
+[More Information Needed]
+
+### Languages
+
+[More Information Needed]
+
+## Dataset Structure
+
+### Data Instances
+
+[More Information Needed]
+
+### Data Fields
+
+[More Information Needed]
+
+### Data Splits
+
+[More Information Needed]
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+[More Information Needed]
+
+### Contributions
+
+[More Information Needed]

data/jira-sentences.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5c1ff9fe719e4df873b38bce40b1dc1c894bb49fb73557b797bbee458692b3c2
+size 48681138

jira-commentaries-mlm.py

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+"""The BookCorpus dataset."""
+
+import datasets
+import os
+import json
+
+_DESCRIPTION = """\
+Dataset of jira comments from different projects of Apache and more.
+"""
+
+_CITATION = """\
+@InProceedings{Zhu_2015_ICCV,
+    title = {Jira commentaries for MLM},
+    author = {Filipp Abapolov},
+    month = {Fubruary},
+    year = {2023}
+}
+"""
+
+_REPO = "https://huggingface.co/datasets/pheepa/jira-commentaries-mlm/resolve/main"
+_URL = f"{_REPO}/data/jira-comments.tar.gz"
+
+
+class JiraComments(datasets.GeneratorBasedBuilder):
+    """JiraComments dataset."""
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name='jira-comments',
+            version=datasets.Version("1.0.0"),
+            description=_DESCRIPTION
+        )
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "sentence": 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,
+                gen_kwargs={"filepath": os.path.join(data_dir, "train-jira-sentences.txt")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={"filepath": os.path.join(data_dir, "test-jira-sentences.txt")}
+            )
+        ]
+
+    def _generate_examples(self, filepath):
+        """Yields examples."""
+        with open(filepath, 'r') as f:
+            sentences = f.read().split('\n')
+
+        for i, sentence in enumerate(sentences):
+            yield i, sentence