"""TODO(Indicxparaphrase): Add a description here.""" import json import pandas as pd import datasets _HOMEPAGE = "" _CITATION = """\ """ _DESCRIPTION = """\ """ _LANG = ["as", "hi", "kn", "ml", "mr", "pa", "te"] _URL = "https://huggingface.co./datasets/ai4bharat/IndicXParaphrase/resolve/main/data/{split}.{language}.jsonl" _VERSION = datasets.Version("1.0.0", "First version of Indicxparaphrase") class Indicxparaphrase(datasets.GeneratorBasedBuilder): """TODO(Indicxparaphrase): Short description of my dataset.""" BUILDER_CONFIGS = [ datasets.BuilderConfig( name=f"{lang}", description=f"Cross-lingual paraphrase dataset for language {lang}", version=_VERSION, ) for lang in _LANG ] def _info(self): return datasets.DatasetInfo( description=_DESCRIPTION + self.config.description, features=datasets.Features( { "english": datasets.Value("string"), "translation": datasets.Value("string"), "paraphrase": datasets.Value("string"), "non-paraphrase": datasets.Value("string"), } ), homepage=_HOMEPAGE, citation=_CITATION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" language = self.config.name splits = {datasets.Split.TEST: "test"} data_urls = { split: _URL.format(language=language, split=splits[split]) for split in splits } dl_paths = dl_manager.download(data_urls) return [ datasets.SplitGenerator( name=split, gen_kwargs={"filepath": dl_paths[split]}, ) for split in splits ] def _generate_examples(self, filepath): """Yields examples.""" df = pd.read_csv(filepath, sep="\t", header=None) for idx, row in df.iterrows(): yield idx, { "english": row[0], "translation": row[1], "paraphrase": row[2], "non-paraphrase": row[3], }