| 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"], | |
| } |