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"""TODO(IndicSentiment): Add a description here.""" |
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import json |
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import datasets |
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_HOMEPAGE = "" |
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_CITATION = """\ |
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""" |
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_DESCRIPTION = """\ |
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""" |
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_LANG = ["telugu"] |
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_URL = "https://huggingface.co/datasets/Sakshamrzt/IndicNLP-Multilingual/tree/main/{language}-{split}.jsonl" |
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_VERSION = datasets.Version("1.0.0", "First version of IndicNLP-Multilingual") |
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class IndicNLP-Multilingual(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name=f"news-{lang}", |
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description=f"translated sentiment data for {lang}", |
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version=_VERSION, |
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) |
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for lang in _LANG |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION + self.config.description, |
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features=datasets.Features( |
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{ |
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"news": datasets.Value("string"), |
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"class": datasets.Value("string"), |
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} |
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), |
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homepage=_HOMEPAGE, |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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*translation_prefix, language = self.config.name.split("-") |
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splits = {datasets.Split.TRAIN: "train", datasets.Split.TEST: "test"} |
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data_urls = { |
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split: _URL.format(language=language, split=splits[split]) for split in splits |
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} |
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dl_paths = dl_manager.download(data_urls) |
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return [ |
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datasets.SplitGenerator( |
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name=split, |
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gen_kwargs={"filepath": dl_paths[split]}, |
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) |
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for split in splits |
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] |
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def _generate_examples(self, filepath): |
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"""Yields examples.""" |
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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, data |
