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scico.py

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+"""SciCo"""
+
+import os
+import jsonlines
+import datasets 
+
+
+_CITATION = """\
+        @inproceedings{
+    cattan2021scico,
+    title={SciCo: Hierarchical Cross-Document Coreference for Scientific Concepts},
+    author={Arie Cattan and Sophie Johnson and Daniel S. Weld and Ido Dagan and Iz Beltagy and Doug Downey and Tom Hope},
+    booktitle={3rd Conference on Automated Knowledge Base Construction},
+    year={2021},
+    url={https://openreview.net/forum?id=OFLbgUP04nC}
+}
+"""
+
+_DESCRIPTION = """\
+        SciCo is a dataset for hierarchical cross-document coreference resolution
+        over scientific papers in the CS domain. 
+        """
+
+_DATA_URL = https://nlp.biu.ac.il/~ariecattan/scico/data.tar
+
+class Scico(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+                description=_DESCRIPTION,
+                homepage="https://scico.apps.allenai.org/",
+                citation = _CITATION)
+
+
+    def _split_generators(self, dl_manager):
+        data_dir = dl_manager.download_and_extract(_DATA_URL)
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST, gen_kwargs={"filepath": os.path.join(data_dir, "test.jsonl")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION, gen_kwargs={"filepath": os.path.join(data_dir, "dev.jsonl")}
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN, gen_kwargs={"filepath": os.path.join(data_dir, "train.jsonl")}
+            ),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        with jsonlines.open(filepath, 'r') as f:
+            for topic in f:
+                yield topic