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from io import BytesIO |
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from PIL import Image |
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from pathlib import Path |
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import datasets |
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import json |
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RAW_METADATA_URL = r'https://huggingface.co/datasets/OleehyO/latex-formulas/resolve/main/raw_formulas.jsonl' |
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DIR_URL = r'https://huggingface.co/datasets/OleehyO/latex-formulas/resolve/main/data1.tar.gz' |
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class LatexFormulasConfig(datasets.BuilderConfig): |
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def __init__(self, data_url, **kwargs): |
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super().__init__(**kwargs) |
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self.data_url = data_url |
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class LatexFormulas(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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LatexFormulasConfig( |
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name="raw_formulas", |
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data_url=RAW_METADATA_URL |
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), |
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LatexFormulasConfig( |
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name="tokenized_formulas", |
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data_url=DIR_URL |
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) |
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] |
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def _info(self): |
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if self.config.name == "raw_formulas": |
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return datasets.DatasetInfo( |
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features=datasets.Features({ |
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"latex_formula": datasets.Value("string") |
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}) |
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) |
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if self.config.name == "tokenized_formulas": |
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return datasets.DatasetInfo( |
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features=datasets.Features({ |
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"image": datasets.Image(), |
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"latex_formula": datasets.Value("string") |
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}) |
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) |
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def _split_generators(self, dl_manager: datasets.DownloadManager): |
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if self.config.name == 'raw_formulas': |
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data_path = dl_manager.download(self.config.data_url) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"data_path": data_path |
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} |
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) |
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] |
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if self.config.name == "tokenized_formulas": |
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dir_path = Path(dl_manager.download_and_extract(self.config.data_url)) / 'common_formulas' |
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assert dir_path.is_dir() |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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'dir_path': dir_path, |
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'dl_manager': dl_manager |
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} |
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) |
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] |
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def _generate_examples(self, data_path=None, dir_path: Path=None, dl_manager=None): |
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if self.config.name == 'tokenized_formulas': |
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idx = 0 |
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for directory in dir_path.iterdir(): |
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if not directory.is_dir(): |
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continue |
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if not directory.name.startswith('process'): |
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continue |
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image_path = str(directory / "compressed_img.tar.gz") |
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metadata_path = str(directory / "tokenized_finally.jsonl") |
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images = dl_manager.iter_archive(image_path) |
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img_formula_pair = {} |
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with open(metadata_path, 'r', encoding='utf-8') as f: |
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for line in f: |
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single_json = json.loads(line) |
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img_formula_pair[single_json['id']] = single_json['formula'] |
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for img_path, img_obj in images: |
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img_name = img_path.split('/')[-1] |
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if img_name in img_formula_pair: |
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idx += 1 |
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yield str(directory) + img_path, { |
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"image": {"path": img_path, "bytes": img_obj.read()}, |
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"latex_formula": img_formula_pair[img_name] |
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} |
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if self.config.name == 'raw_formulas': |
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assert data_path is not None |
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with open(data_path, 'r', encoding="utf-8") as f: |
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for idx, line in enumerate(f): |
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yield idx, { |
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"latex_formula": json.loads(line)["formula"] |
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} |
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