icons_dataset.py

import os
from PIL import Image
import csv
import io
import requests
import datasets
_HOMEPAGE = "https://text_to_icons.kmoz.dev/#dataset"
_DESCRIPTION =  "svgs icons classified under dictionary words"
_CITATION = "english dictionary(oxford), svgapi.org"
_LICENSE = "MIT"
_URL = "https://raw.githubusercontent.com/KM8Oz/icons_svgs_dataset/main/icons_dataset.csv"
def svg_url_to_image(svg_url):
    try:
        headers = {
            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
        svg_content = requests.get(svg_url, headers=headers).content
        if svg_content:
            # svg_io = svg2png(svg_content, parent_height=128, parent_width=128, dpi=250)
            # image = Image.open(io.BytesIO(svg_io))
            return svg_content
        else:
            return None
    except:
        return None
class SvgsIcons(datasets.GeneratorBasedBuilder):
    VERSION = datasets.Version("1.0.0")
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(
            name="svg_icons",
            version=VERSION,
            description="svgs icons classified under dictionary words",
            data_dir="svg_icons"
        )
    ]
    def _info(self, dir = "icon_url.csv"):
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=datasets.Features(
                {
                    "word": datasets.Value("string"),
                    "icon": datasets.Value("string"),
                }
            ),
            supervised_keys=None,
            homepage=_HOMEPAGE,
            citation=_CITATION,
            license=_LICENSE,
        )
    def _split_generators(self, dl_manager):
        dir = dl_manager.download_and_extract(_URL)
        return [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": os.path.join(dir),
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "filepath": os.path.join("demolist.csv"),
                },
            ),
        ]
    def _generate_examples(self, filepath):
        with open(filepath, encoding="utf-8") as csv_file:
            csv_reader = csv.reader(csv_file)
            rows = [row for row in csv_reader]
            # rows = rows[1:]
        for row in rows:
            image = svg_url_to_image(row[1])
            if not image:
                continue
            yield row[0], {
                "word": row[0],
                "icon": image,
            }