Datasets:

Languages:
Bengali
Multilinguality:
monolingual
Size Categories:
100k<n<1M
Language Creators:
found
Annotations Creators:
found
Source Datasets:
original
ArXiv:
License:
File size: 2,530 Bytes
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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"],
                }