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import json |
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from dataclasses import dataclass |
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from string import Template |
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import datasets |
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_CITATION = "" |
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_DESCRIPTION = \ |
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""" |
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A collection of passages culled from news websites for Cross-Lingual Information Retrieval for African Languages. |
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""" |
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_HOMEPAGE = "https://github.com/ciral/ciral-corpus" |
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_LICENSE = "Apache License 2.0" |
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_VERSION = "1.0.0" |
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_LANGUAGES = [ |
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"hausa", |
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"somali", |
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"swahili", |
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"yoruba", |
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"combined" |
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] |
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_DATASET_URL = Template("./${mode}passages-v1.0/${language}_passages.jsonl") |
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@dataclass |
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class CiralConfig(datasets.BuilderConfig): |
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translated: bool = False |
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file_stub_dict = { |
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None: "", |
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True: "translated-", |
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False: "" |
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} |
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def get_file_url(self, language: str) -> str: |
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return _DATASET_URL.substitute( |
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mode=self.file_stub_dict.get(self.translated), |
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language=language |
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) |
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class CiralPassages(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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CiralConfig( |
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version=datasets.Version(_VERSION), |
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name=language, |
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description=f"CIRAL passages for language: {language}" |
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) for language in _LANGUAGES |
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] |
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DEFAULT_CONFIG_NAME = "combined" |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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citation=_CITATION, |
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features=datasets.Features({ |
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"docid": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"url": datasets.Value("string") |
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}), |
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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: datasets.DownloadManager): |
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language = self.config.name |
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if language == "combined": |
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language_file = dl_manager.download_and_extract({ |
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_language: self.config.get_file_url(language=_language) |
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for _language in _LANGUAGES[:-1] |
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}) |
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splits = [ |
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datasets.SplitGenerator( |
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name=_language, gen_kwargs={"filepath": language_file[_language]} |
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) for _language in _LANGUAGES[:-1] |
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] |
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else: |
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language_file = dl_manager.download_and_extract( |
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self.config.get_file_url(language=language)) |
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splits = [ |
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datasets.SplitGenerator( |
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name="train", |
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gen_kwargs={"filepath": language_file} |
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) |
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] |
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return splits |
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def _generate_examples(self, filepath: str): |
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with open(filepath, encoding="utf-8") as f: |
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for line in f: |
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data = json.loads(line) |
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yield data["docid"], data |
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