Delete latex-formulas.py with huggingface_hub

latex-formulas.py

@@ -1,110 +0,0 @@
-from io import BytesIO
-from PIL import Image
-from pathlib import Path
-import datasets
-import json
-
-
-RAW_METADATA_URL = r'https://huggingface.co/datasets/OleehyO/latex-formulas/resolve/main/raw_formulas.jsonl'
-
-# DIR_URL = r'https://huggingface.co/datasets/OleehyO/latex-formulas/resolve/main/data.tar.gz'
-DIR_URL = r'https://huggingface.co/datasets/OleehyO/latex-formulas/resolve/main/data1.tar.gz'
-
-
-class LatexFormulasConfig(datasets.BuilderConfig):
-    def __init__(self, data_url, **kwargs):
-        super().__init__(**kwargs)
-        self.data_url = data_url
-
-
-class LatexFormulas(datasets.GeneratorBasedBuilder):
-    BUILDER_CONFIGS = [
-        LatexFormulasConfig(
-            name="raw_formulas",
-            data_url=RAW_METADATA_URL
-        ),
-        LatexFormulasConfig(
-            name="cleaned_formulas",
-            data_url=DIR_URL
-        )
-    ]
-
-    def _info(self):
-        if self.config.name == "raw_formulas":
-            return datasets.DatasetInfo(
-                features=datasets.Features({
-                    "latex_formula": datasets.Value("string")
-                })
-            )
-        if self.config.name == "cleaned_formulas":
-            return datasets.DatasetInfo(
-                features=datasets.Features({
-                    "image": datasets.Image(),
-                    "latex_formula": datasets.Value("string")
-                })
-            )
-
-    def _split_generators(self, dl_manager: datasets.DownloadManager):
-        if self.config.name == 'raw_formulas':
-            data_path = dl_manager.download(self.config.data_url)
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        "data_path": data_path
-                    }
-                )
-            ]
-
-        if self.config.name == "cleaned_formulas":
-            # dir_path = Path(data_path)
-            # dir_path = Path(dl_manager.download_and_extract(data_path)) 
-            dir_path = Path(dl_manager.download_and_extract(self.config.data_url)) / 'common_formulas'
-            assert dir_path.is_dir()
-
-            return [
-                datasets.SplitGenerator(
-                    name=datasets.Split.TRAIN,
-                    gen_kwargs={
-                        'dir_path': dir_path,
-                        'dl_manager': dl_manager
-                    }
-                )
-            ]
-
-    def _generate_examples(self, data_path=None, dir_path: Path=None, dl_manager=None):
-        if self.config.name == 'cleaned_formulas':
-            idx = 0
-            for directory in dir_path.iterdir():
-                if not directory.is_dir():
-                    continue
-                if not directory.name.startswith('process'):
-                    continue
-                image_path = str(directory / "compressed_img.tar.gz")
-                metadata_path = str(directory / "tokenized_finally.jsonl")
-                images = dl_manager.iter_archive(image_path)
-
-                img_formula_pair = {}
-                with open(metadata_path, 'r', encoding='utf-8') as f:
-                    for line in f:
-                        single_json = json.loads(line)
-                        img_formula_pair[single_json['id']] = single_json['formula']
-
-                for img_path, img_obj in images:
-                    img_name = img_path.split('/')[-1]
-
-                    if img_name in img_formula_pair:
-                        idx += 1
-                        # yield idx, {
-                        yield str(directory) + img_path, {
-                            "image": {"path": img_path, "bytes": img_obj.read()},
-                            "latex_formula": img_formula_pair[img_name]
-                        }
-
-        if self.config.name == 'raw_formulas':
-            assert data_path is not None
-            with open(data_path, 'r', encoding="utf-8") as f:
-                for idx, line in enumerate(f):
-                    yield idx, {
-                        "latex_formula": json.loads(line)["formula"]
-                    }