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"""Raw merged dump of Hinglish (hi-EN) datasets.""" |
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import pandas as pd |
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import os |
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import datasets |
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_DESCRIPTION = """\ |
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Raw merged dump of Hinglish (hi-EN) datasets. |
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""" |
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_HOMEPAGE = "https://huggingface.co/datasets/diwank/hinglish-dump" |
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_LICENSE = "MIT" |
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_URLS = { |
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subset: f"{_HOMEPAGE}/resolve/main/data/{subset}/data.h5" |
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for subset in "crowd_transliteration hindi_romanized_dump hindi_xlit hinge hinglish_norm news2018".split() } |
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_FEATURE_NAMES = [ |
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"target_hinglish", |
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"source_hindi", |
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"parallel_english", |
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"annotations", |
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"raw_input", |
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"alternates", |
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] |
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config_names = _URLS.keys() |
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version = datasets.Version("1.0.0") |
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class HinglishDumpDataset(datasets.GeneratorBasedBuilder): |
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"""Raw merged dump of Hinglish (hi-EN) datasets.""" |
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VERSION = version |
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CONFIGS = config_names |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name=subset, version=version, description=f"Config for {subset}") |
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for subset in config_names |
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] |
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DEFAULT_CONFIG_NAME = None |
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def _info(self): |
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features = datasets.Features({ |
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feature: datasets.Value("string") |
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for feature in _FEATURE_NAMES |
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}) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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homepage=_HOMEPAGE, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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urls = _URLS[self.config.name] |
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filepath = self.data_dir = dl_manager.download_and_extract(urls) |
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return [ |
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datasets.SplitGenerator( |
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name=getattr(datasets.Split, "VALIDATION" if split == "eval" else split.upper()), |
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gen_kwargs=dict(filepath=filepath, split=split) ) |
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for split in ["train", "eval", "test"] |
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] |
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def _generate_examples(self, filepath, split): |
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df = pd.read_hdf(filepath, key=split) |
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for i, row in enumerate(df.to_dict('records')): |
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yield i, row |
