Delete dataset.py

dataset.py

@@ -1,46 +0,0 @@
-import os
-import csv
-from datasets import Dataset, DatasetInfo, Features, Value, Sequence, GeneratorBasedBuilder, DownloadManager, Split
-
-class FreshWikiDataset(GeneratorBasedBuilder):
-    def _info(self):
-        return DatasetInfo(
-            description="The FreshWiki Dataset is a collection of high-quality Wikipedia articles focusing on the most-edited pages from February 2022 to September 2023.",
-            features=Features({
-                "json_file": Value("string"),
-                "txt_file": Value("string"),
-                "topic": Value("string"),
-            }),
-        )
-
-    def _split_generators(self, dl_manager: DownloadManager):
-        data_dir = dl_manager.download_and_extract("https://huggingface.co/datasets/EchoShao8899/FreshWiki")
-        return [
-            Split(
-                name=Split.TRAIN,
-                gen_kwargs={
-                    "json_files": os.path.join(data_dir, "json"),
-                    "txt_files": os.path.join(data_dir, "txt"),
-                    "topic_list_csv": os.path.join(data_dir, "topic_list.csv"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, json_files, txt_files, topic_list_csv):
-        with open(topic_list_csv, "r", encoding="utf-8") as csv_file:
-            reader = csv.DictReader(csv_file)
-            for idx, row in enumerate(reader):
-                topic_name = row['topic'].replace(' ', '_').replace('/', '_')
-                json_path = os.path.join(json_files, f'{topic_name}.json')
-                txt_path = os.path.join(txt_files, f'{topic_name}.txt')
-                
-                if os.path.exists(json_path) and os.path.exists(txt_path):
-                    with open(json_path, "r", encoding="utf-8") as json_file, \
-                         open(txt_path, "r", encoding="utf-8") as txt_file:
-                        yield idx, {
-                            "json_file": json_file.read(),
-                            "txt_file": txt_file.read(),
-                            "topic": row['topic'],
-                        }
-                else:
-                    print(f"Warning: Files for topic '{row['topic']}' not found. Skipping.")