klue-re.py

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