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import collections |
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import gzip |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_BASE_DIR = "/home/diogo/extracted/brwac-clean/" |
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_BASE_DATA_DIR = "/home/diogo/extracted/brwac-clean/data/" |
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class BrwacCleanConfig(datasets.BuilderConfig): |
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"""BRWAC-clean corpus.""" |
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def __init__(self, **kwargs): |
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name = "brwac-clean" |
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description = "brwac-clean dataset" |
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super(BrwacCleanConfig, self).__init__(name=name, description=description, **kwargs) |
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self.base_data_url = _BASE_DATA_DIR |
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class BrwacClean(datasets.GeneratorBasedBuilder): |
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"""BRWAC corpus.""" |
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BUILDER_CONFIGS = [ |
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BrwacCleanConfig( |
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version=datasets.Version("1.0.0"), |
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) |
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] |
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BUILDER_CONFIG_CLASS = BrwacCleanConfig |
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def _info(self): |
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return datasets.DatasetInfo( |
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features=datasets.Features({"id": datasets.Value("int64"), "text": datasets.Value("string")}), |
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supervised_keys=None, |
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) |
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def _split_generators(self, dl_manager): |
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files = _BASE_DIR + "file_names.txt" |
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with open(files, encoding="utf-8") as f: |
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data_filenames = [line.split("\t")[0] for line in f if line] |
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data_urls = [self.config.base_data_url + data_filename.strip() for data_filename in data_filenames] |
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downloaded_files = dl_manager.download(data_urls) |
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return [ |
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": downloaded_files}), |
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] |
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def _generate_examples(self, filepaths): |
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"""This function returns the examples in the raw (text) form by iterating on all the files.""" |
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id_ = 0 |
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for filepath in filepaths: |
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with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f: |
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for line in f: |
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feature = id_, {"id": id_, "text": line.replace("<END>", "\n").rstrip()} |
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yield feature |
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id_ += 1 |
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