| 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"], |
| } |