import json import os import datasets _CITATION = """ to be added """ _DESCRIPTION = """\ We present a high quality bangla paraphrase dataset containing about 466k paraphrase pairs. The paraphrases ensures high quality by being semantically coherent and syntactically diverse. """ _HOMEPAGE = "https://github.com/csebuetnlp/banglaparaphrase" _LICENSE = "Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (CC BY-NC-SA 4.0)" _URL = "https://huggingface.co/datasets/csebuetnlp/BanglaParaphrase/resolve/main/data/BanglaParaphrase.zip" _LANGUAGES = [ "bn" ] class IndicParaphrase(datasets.GeneratorBasedBuilder): VERSION = datasets.Version("1.0.0") BUILDER_CONFIGS = [ datasets.BuilderConfig( name="bn", version=datasets.Version("1.0.0") ) ] def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION, features=datasets.Features( { "source": datasets.Value("string"), "target": datasets.Value("string") } ), supervised_keys=None, homepage=_HOMEPAGE, citation=_CITATION, license=_LICENSE, version=self.VERSION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" url = _URL data_dir = dl_manager.download_and_extract(url) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": os.path.join(data_dir, "BanglaParaphrase/train.jsonl"), }, ), datasets.SplitGenerator( name=datasets.Split.TEST, gen_kwargs={ "filepath": os.path.join(data_dir, "BanglaParaphrase/test.jsonl"), }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": os.path.join(data_dir, "BanglaParaphrase/validation.jsonl"), }, ), ] def _generate_examples(self, filepath): """Yields examples as (key, example) tuples.""" with open(filepath, encoding="utf-8") as f: for idx_, row in enumerate(f): data = json.loads(row) yield idx_, { "source": data["source"], "target": data["target"], }