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.gitattributes

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-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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-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 → KLUE Relation Extraction/klue-re-train.parquet

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+oid sha256:da3fcb0001c700a21abe2ad7de1176aa624a03a21008c82929f2a734faa88a3d
+size 6652833

klue-re-v1.1_train.json → KLUE Relation Extraction/klue-re-validation.parquet

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 version https://git-lfs.github.com/spec/v1
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-size 22316866
+oid sha256:d7483fe529658d33e374205c1d399a8f84d46a0b87f26062178e63e96f3b5a70
+size 1543139

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": 
-                        {
-                            "word": datasets.Value("string"),
-                            "start_idx": datasets.Value("int32"),
-                            "end_idx": datasets.Value("int32"),
-                            "type": datasets.Value("string"),
-                        },
-                    "sentence": datasets.Value("string"),
-                    "source": datasets.Value("string"),
-                    "subject_entity": 
-                        {
-                            "word": datasets.Value("string"),
-                            "start_idx": datasets.Value("int32"),
-                            "end_idx": datasets.Value("int32"),
-                            "type": 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_data"]}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["validation_data"]}),
-        ]
-
-    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']
-            sentence = info['sentence']
-
-            yield key, {
-                "guid" : guid,
-                "label" : label,
-                "object_entity" : object_entity,
-                "subject_entity" : subject_entity,
-                "source" : source,
-                "sentence" : sentence,
-            }
-            key += 1