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