| import datasets | |
| import os | |
| from datasets import DatasetBuilder, SplitGenerator, DownloadConfig, Split | |
| from datasets import GeneratorBasedBuilder, SplitGenerator, Split | |
| class TextDataset(GeneratorBasedBuilder): | |
| VERSION = "1.0.0" | |
| BUILDER_CONFIGS = [ | |
| datasets.BuilderConfig(name="text", version=VERSION, description="Text data"), | |
| ] | |
| def _info(self): | |
| return datasets.DatasetInfo(features=datasets.Features({'text': datasets.Value('string')})) | |
| def _split_generators(self, dl_manager): | |
| train_path = "./train/new_format_data.txt" | |
| val_path = "./val/new_format_data_val_removedup.txt" | |
| train_path = dl_manager.download_and_extract(train_path) | |
| val_path = dl_manager.download_and_extract(val_path) | |
| return [ | |
| SplitGenerator(name=Split.TRAIN, gen_kwargs={"filepath": train_path}), | |
| SplitGenerator(name=Split.VALIDATION, gen_kwargs={"filepath": val_path}), | |
| ] | |
| def _generate_examples(self, filepath): | |
| with open(filepath, encoding="utf-8") as f: | |
| for id_, line in enumerate(f): | |
| yield id_, {"text": line.strip()} | |