Upload snap.py

snap.py

@@ -0,0 +1,53 @@
+"""SNAP dataset"""
+
+import datasets
+
+_CITATION = """
+@inproceedings{celebi2016segmenting,
+  title={Segmenting hashtags using automatically created training data},
+  author={Celebi, Arda and {\"O}zg{\"u}r, Arzucan},
+  booktitle={Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)},
+  pages={2981--2985},
+  year={2016}
+}
+"""
+
+_DESCRIPTION = """
+Automatically segmented 803K SNAP Twitter Data Set hashtags with the heuristic described in the paper "Segmenting hashtags using automatically created training data".
+"""
+_URL = "https://raw.githubusercontent.com/ruanchaves/hashformers/master/datasets/SNAP.Hashtags.Segmented.w.Heuristics.txt"
+
+class Snap(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/ardax/hashtag-segmentor",
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download(_URL)
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files}),
+        ]
+
+    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()
+                }