Upload jhotdraw.py

jhotdraw.py

@@ -0,0 +1,63 @@
+"""BT11"""
+
+import datasets
+import pandas as pd
+from collections import deque
+
+_CITATION = """
+@inproceedings{li2018helpful,
+  title={Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF.},
+  author={Li, Jiechu and Du, Qingfeng and Shi, Kun and He, Yu and Wang, Xin and Xu, Jincheng},
+  booktitle={SEKE},
+  pages={175--174},
+  year={2018}
+}
+"""
+
+_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.
+
+Jhotdraw 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/jhotdraw.txt"
+
+class Jhotdraw(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")
+                }
+            ),
+            supervised_keys=None,
+            homepage="",
+            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):
+
+        with open(filepath, "r") as f:
+
+            for idx, line in enumerate(f):
+                fields = line.split(":")
+                identifier = fields[0].strip()
+                segmentation = fields[1].strip()
+                yield idx, {
+                    "index": idx,
+                    "identifier": identifier,
+                    "segmentation": segmentation
+                }