Update parquet files

train_data.json → Aihub Book Summarization/book-summarization-train.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b52e380c110d3d9cf3c0d9336bee3c876d7d19e47ff7a1821c88ed89e2160ccb
-size 456828010
+oid sha256:337bd391945326007eff2a17a2930edb91e31d4b8e2fbdfcc283c88cf4311480
+size 140851508

validation_data.json → Aihub Book Summarization/book-summarization-validation.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca1a64ca2593b9d8ec4a0cd950737a645ac3d954ba8f59097cc6e92c82c09901
-size 56153159
+oid sha256:6e52c5a964e9a89218b08bd90677f82c46b97f2871ad54b605ffed9bf36aad9b
+size 17242895

book-summarization.py

@@ -1,74 +0,0 @@
-
-import json
-import pandas as pd
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-_DESCRIPTION = """\
-Korean Book Summarization Data
-"""
-
-_URL = "https://huggingface.co/datasets/LeverageX/book-summarization/resolve/main/"
-_URLS = {
-    "train_data": _URL + "train_data.json",
-    "validation_data": _URL + "validation_data.json",
-}
-
-class KoreanNewspaper(datasets.GeneratorBasedBuilder):
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
-            name="Aihub Book Summarization",
-            version=datasets.Version("1.0.0", ""),
-            description="Korean Summarization Data",
-        ),
-    ]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "name": datasets.Value("string"),
-                    "publisher": datasets.Value("string"),
-                    "passage": datasets.Value("string"),
-                    "summary": datasets.Value("string"),
-                }
-            ),
-            # No default supervised_keys (as we have to pass both question
-            # and context as input).
-            supervised_keys=None,
-            homepage="https://aihub.or.kr/aidata/30713",
-        )
-
-    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 :
-            doc_id = info['id']  
-            doc_name = info['name']
-            publisher = info['publisher']
-            passage = info['passage']
-            summary = info['summary']
-
-            yield key, {
-                "id" : doc_id,
-                "name" : doc_name,
-                "publisher" : publisher,
-                "passage" : passage,
-                "summary" : summary,
-            }
-            key += 1