Create nru_hse.py

nru_hse.py

@@ -0,0 +1,63 @@
+"""HSE Russian dataset by Glushkova et al.."""
+
+import datasets
+import pandas as pd
+from functools import reduce
+
+_CITATION = """
+@article{glushkova2019char,
+  title={Char-RNN and Active Learning for Hashtag Segmentation},
+  author={Glushkova, Taisiya and Artemova, Ekaterina},
+  journal={arXiv preprint arXiv:1911.03270},
+  year={2019}
+}
+"""
+
+_DESCRIPTION = """
+2000 real hashtags collected from several pages about civil services on vk.com (a Russian social network) 
+and then segmented manually.
+"""
+_URL = "https://raw.githubusercontent.com/glushkovato/hashtag_segmentation/master/data/test_rus.csv"
+
+
+class HSE(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/glushkovato/hashtag_segmentation",
+            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):
+
+        df = pd.read_csv(filepath)
+        records = df.to_dict("records")
+
+        def get_segmentation(a, b):
+            return "".join(reduce(lambda x,y: x + y, list(zip(a,b)))).replace("0","").replace("1"," ").strip()
+
+        for idx, row in enumerate(records):
+            yield idx, {
+                "index": idx,
+                "hashtag": row["hashtag"],
+                "segmentation": get_segmentation(
+                    row["hashtag"],
+                    row["true_segmentation"]
+                )}