Upload boun.py

boun.py

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+"""STAN large dataset as corrected by Maddela et al.."""
+
+import datasets
+
+_CITATION = """
+@article{celebi2018segmenting,
+  title={Segmenting hashtags and analyzing their grammatical structure},
+  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
+  journal={Journal of the Association for Information Science and Technology},
+  volume={69},
+  number={5},
+  pages={675--686},
+  year={2018},
+  publisher={Wiley Online Library}
+}
+"""
+
+_DESCRIPTION = """
+Dev-BOUN Development set that includes 500 manually segmented hashtags. These are selected from tweets about movies, 
+tv shows, popular people, sports teams etc. Test-BOUN Test set that includes 500 manually segmented hashtags. 
+These are selected from tweets about movies, tv shows, popular people, sports teams etc. 
+"""
+_URLS = {
+    "dev": "https://tabilab.cmpe.boun.edu.tr/projects/hashtag_segmentation/Dev-BOUN",
+    "test": "https://tabilab.cmpe.boun.edu.tr/projects/hashtag_segmentation/Test-BOUN"
+}
+
+class Boun(datasets.GeneratorBasedBuilder):
+
+    VERSION = datasets.Version("1.0.0")
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "index": datasets.Value("int32"),
+                    "hashtag": datasets.Value("string"),
+                    "segmentation": datasets.Value("string")
+                }
+            ),
+            supervised_keys=None,
+            homepage="https://github.com/mounicam/hashtag_master",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URLS)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"] }),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": downloaded_files["test"] }),
+        ]
+
+    def _generate_examples(self, filepath):
+
+        with open(filepath, 'r') as f:
+            for idx, line in enumerate(f):
+                yield idx, {
+                    "index": idx,
+                    "hashtag": line.strip().replace(" ", ""),
+                    "segmentation": line.strip()
+                }