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.gitattributes

@@ -25,3 +25,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+klue-re-v1.1_dev.json filter=lfs diff=lfs merge=lfs -text
+klue-re-v1.1_train.json filter=lfs diff=lfs merge=lfs -text

klue-re-v1.1_dev.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d150873430e592a5c569d35b20d88fbbbfba751dae0ffa4d8cbfb6b7321dea14
+size 5212646

klue-re-v1.1_train.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:10101fa3059b340f9971286dd5639daccb5889324182aed31679f038bca05bc4
+size 22316866

klue-re.py

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+
+import json
+import pandas as pd
+import datasets
+
+logger = datasets.logging.get_logger(__name__)
+
+_DESCRIPTION = """\
+Klue Relation Extraction Data
+"""
+
+_URL = "https://huggingface.co/datasets/LeverageX/klue-re/resolve/main/"
+_URLS = {
+    "train_data": _URL + "klue-re-v1.1_train.json",
+    "validation_data": _URL + "klue-re-v1.1_dev.json",
+}
+
+class KoreanNewspaper(datasets.GeneratorBasedBuilder):
+
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="KLUE Relation Extraction",
+            version=datasets.Version("1.0.0", ""),
+            description="For LeverageX Project",
+        ),
+    ]
+
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "guid": datasets.Value("string"),
+                    "label": datasets.Value("string"),
+                    "object_entity": datasets.Value("String"),
+                    "sentencce": datasets.Value("string"),
+                    "source": datasets.Value("string"),
+                    "subject_entity": datasets.Value("string"),
+                }
+            ),
+            # No default supervised_keys (as we have to pass both question
+            # and context as input).
+            supervised_keys=None,
+            homepage="https://klue-benchmark.com/tasks/70/overview/description",
+        )
+
+    def _split_generators(self, dl_manager):
+        downloaded_files = dl_manager.download_and_extract(_URLS)
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
+        ]
+
+    def _generate_examples(self, filepath):
+        """This function returns the examples in the raw (text) form."""
+        logger.info("generating examples from = %s", filepath)
+        key = 0
+        with open(filepath, encoding="utf-8") as f :
+            data = json.load(f)
+
+        for info in data :
+            guid = info['guid']  
+            label = info['label']
+            object_entity = info['object_entity']
+            subject_entity = info['subject_entity']
+            source = info['source']
+
+            yield key, {
+                "guid" : guid,
+                "label" : label,
+                "object_entity" : object_entity,
+                "subject_entity" : subject_entity,
+                "source" : source,
+            }
+            key += 1