Upload loyola.py

loyola.py

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+"""The Loyola University of Delaware Identifier Splitting Oracle"""
+
+import datasets
+import pandas as pd
+from collections import deque
+
+_CITATION = """
+@article{hill2014empirical,
+  title={An empirical study of identifier splitting techniques},
+  author={Hill, Emily and Binkley, David and Lawrie, Dawn and Pollock, Lori and Vijay-Shanker, K},
+  journal={Empirical Software Engineering},
+  volume={19},
+  number={6},
+  pages={1754--1780},
+  year={2014},
+  publisher={Springer}
+}
+"""
+
+_DESCRIPTION = """
+In programming languages, identifiers are tokens (also called symbols) which name language entities.
+Some of the kinds of entities an identifier might denote include variables, types, labels, subroutines, and packages.
+
+The Loyola University of Delaware Identifier Splitting Oracle is a dataset for identifier segmentation, 
+i.e. the task of adding spaces between the words on a identifier.
+"""
+_URL = "https://raw.githubusercontent.com/ruanchaves/hashformers/master/datasets/loyola-udelaware-identifier-splitting-oracle.txt"
+
+class Loyola(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "index": datasets.Value("int32"),
+                    "identifier": datasets.Value("string"),
+                    "segmentation": datasets.Value("string"),
+                    "language": datasets.Value("string"),
+                    "source": datasets.Value("string")
+                }
+            ),
+            supervised_keys=None,
+            homepage="http://www.cs.loyola.edu/~binkley/ludiso/",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files}),
+        ]
+
+    def _generate_examples(self, filepath):
+
+        def get_segmentation(needle, haystack, sep="-"):
+            counter = 0
+            pos = deque()
+            iterator = iter(haystack)
+            for char in needle:
+                if char == sep:
+                    pos.appendleft(counter)
+                    continue
+                while True:
+                    try:
+                        next_char = next(iterator)
+                        counter += 1
+                        if next_char == char:
+                            break
+                    except StopIteration:
+                        break
+            output = haystack
+            while pos:
+                next_pos = pos.popleft()
+                output = output[:next_pos] + " " + output[next_pos:]
+            return output
+
+        with open(filepath, 'r') as f:
+            records = f.read().split("\n")
+            records = [x for x in records if x]
+            records = [x.split(" ") for x in records]
+
+        for idx, item in enumerate(records):
+            yield idx, {
+                "index": idx,
+                "identifier": item[1],
+                "segmentation": get_segmentation(item[4], item[1]),
+                "language": item[2],
+                "source": item[3],
+            }