full issue comments

data/jira-commentaries.tar.gz

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a82e1caea5b2d893fa98c9ab5e0b710f0ba48986fcadf4f50729f1fa3d1fbd43
+size 46987358

jira-commentaries-mlm.py

@@ -18,7 +18,7 @@ _CITATION = """\
 """
 
 _REPO = "https://huggingface.co/datasets/pheepa/jira-commentaries-mlm/resolve/main"
-_URL = f"{_REPO}/data/jira-sentences.tar.gz"
+_URL = f"{_REPO}/data/jira-commentaries.tar.gz"
 
 
 class JiraComments(datasets.GeneratorBasedBuilder):
@@ -37,7 +37,7 @@ class JiraComments(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
-                    "sentence": datasets.Value("string"),
+                    "comments": datasets.Value("string"),
                 }
             ),
             supervised_keys=None,
@@ -51,18 +51,18 @@ class JiraComments(datasets.GeneratorBasedBuilder):
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": os.path.join(data_dir, "train-jira-sentences.txt")}
+                gen_kwargs={"filepath": os.path.join(data_dir, "train-all-jira-comments.txt")}
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"filepath": os.path.join(data_dir, "test-jira-sentences.txt")}
+                gen_kwargs={"filepath": os.path.join(data_dir, "test-all-jira-comments.txt")}
             )
         ]
 
     def _generate_examples(self, filepath):
         """Yields examples."""
         with open(filepath, 'r') as f:
-            sentences = f.read().split('\n')
+            comments = f.read().split('\n')
 
-        for i, sentence in enumerate(sentences):
-            yield i, {'sentence': sentence}
+        for i, comment in enumerate(comments):
+            yield i, {'comments': comment}