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import collections |
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import io |
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import zstandard |
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import json |
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from dataclasses import dataclass |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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@dataclass |
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class Identification: |
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label: str |
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prob: float |
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_DESCRIPTION = """ |
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""" |
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_URL = "" |
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_LICENSE = """ |
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""" |
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_CITATION = """ |
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""" |
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_BASE_DATA_PAT_FORMAT_STR = "" |
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_BASE_CHECKSUM_FILE_NAME = "checksum.sha256" |
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class Oscar2301JAConfig(datasets.BuilderConfig): |
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def __init__(self, **kwargs): |
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"""BuilderConfig for OSCAR. |
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Args: |
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language (str): It has to contain 2-letter or 3-letter coded strings. For example: "se", "hu", "eml" |
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**kwargs: Keyword arguments forwarded to super. |
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""" |
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description = ( |
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f"filter OSCAR 2023 dataset ja" |
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) |
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super(Oscar2301JAConfig, self).__init__( |
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name="oscar_2023_ja_filtered", description=description, **kwargs |
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) |
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class Oscar2301(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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Oscar2301JAConfig( |
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version=datasets.Version("2023.1.0"), |
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) |
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] |
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BUILDER_CONFIG_CLASS = Oscar2301JAConfig |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features( |
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{ |
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"id": datasets.Value("int64"), |
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"text": datasets.Value("string") |
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} |
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), |
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supervised_keys=None, |
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homepage=_URL, |
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citation=_CITATION, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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checksum_path = self.config.base_data_path + _BASE_CHECKSUM_FILE_NAME |
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checksum_file = dl_manager.download(checksum_path) |
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with open(checksum_file, encoding="utf-8") as f: |
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data_filenames = [line.split()[1] for line in f if line] |
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data_urls = [ |
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self.config.base_data_path + data_filename |
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for data_filename in data_filenames |
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] |
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doc_files = dl_manager.download( |
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[url for url in data_urls if url.endswith(".jsonl.zst")] |
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) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, gen_kwargs={"doc_files": doc_files} |
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), |
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] |
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def _generate_examples(self, doc_files): |
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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 doc_path in doc_files: |
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logger.info("generating examples from = %s", doc_path) |
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with open(doc_path, "rb") as fh: |
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dctx = zstandard.ZstdDecompressor() |
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stream_reader = dctx.stream_reader(fh) |
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buffered_reader = io.BufferedReader(stream_reader) |
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text_stream = io.TextIOWrapper(buffered_reader, encoding="utf-8") |
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for line in text_stream: |
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doc = json.loads(line) |
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yield id_, {"id": id_, "text": doc["text"]} |
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id_ += 1 |
