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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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from datasets.download.download_manager import DownloadManager |
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_CITATION = "" |
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_DESCRIPTION = \ |
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""" |
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Wura is large-scale pretraining data for 20 languages popularly spoken in Africa. |
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""" |
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_HOMEPAGE = "https://github.com/castorini/AfriTeVa-keji" |
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_LICENSE = "Apache License 2.0" |
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_DOCUMENT_DATASET_VERSION = "1.0.0" |
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_PASSAGE_DATASET_VERSION = "1.0.0" |
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_LANGUAGES = { |
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"Afrikaans": "afr", |
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"Amharic": "amh", |
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"Egyptian Arabic": "arz", |
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"English": "eng", |
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"French": "fra", |
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"Hausa": "hau", |
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"Igbo": "ibo", |
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"Gahuza": "kin", |
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"Malagasy": "mlg", |
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"Chichewa": "nya", |
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"Afaan Oromoo": "orm", |
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"Portuguese": "por", |
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"Shona": "sna", |
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"Somali": "som", |
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"Sesotho": "sot", |
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"Swahili": "swa", |
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"Tigrinya": "tir", |
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"Xhosa": "xho", |
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"Yoruba": "yor", |
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"Zulu": "zul" |
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} |
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_DOCUMENT_DATASET_URL = Template("./documents-v1.0/${split}/${language}.jsonl") |
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_PASSAGE_DATASET_URL = Template("./passages-v1.0/${split}/${language}.txt") |
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INVALID_WINDOWS_CHARACTERS_IN_PATH = r"<>:/\|?*" |
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@dataclass |
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class WuraConfig(datasets.BuilderConfig): |
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level: str = "document" |
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class WuraDataset(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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WuraConfig( |
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name=language, |
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version=datasets.Version(_DOCUMENT_DATASET_VERSION), |
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description=f"Wura dataset for language: {language}\n{_DESCRIPTION}", |
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) for language in _LANGUAGES.values() |
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] |
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DEFAULT_CONFIG_NAME = "afr" |
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def _info(self): |
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if self.config.level == "document": |
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features = ["id", "headline", "content", "category", "url"] |
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elif self.config.level == "passage": |
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features = ["id", "text"] |
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else: |
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raise ValueError("level can only be one of `document` or `passage`") |
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features = {feature: datasets.Value("string") for feature in features} |
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return datasets.DatasetInfo( |
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description=self.config.description, |
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features=datasets.Features(features), |
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homepage=_HOMEPAGE, |
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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: DownloadManager): |
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if self.config.level == "document": |
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data_files = { |
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split: _DOCUMENT_DATASET_URL.substitute( |
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split=split, |
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language=self.config.name, |
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) for split in ["train", "eval"] |
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} |
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elif self.config.level == "passage": |
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data_files = { |
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split: _PASSAGE_DATASET_URL.substitute( |
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split=split, |
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language=self.config.name, |
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) for split in ["train", "eval"] |
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} |
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else: |
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raise ValueError("level can only be one of `document` or `passage`") |
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language_files = dl_manager.download_and_extract(data_files) |
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splits = [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"filepath": language_files["train"]} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.VALIDATION, |
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gen_kwargs={"filepath": language_files["eval"]} |
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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 idx, line in enumerate(f): |
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if self.config.level == "document": |
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data = json.loads(line) |
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data["id"] = idx |
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else: |
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data = {"id": idx, "text": line.strip()} |
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yield idx, data |
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