import json import os import datasets class ViznetConfig(datasets.BuilderConfig): def __init__(self, features, data_url, **kwargs): super(ViznetConfig, self).__init__(**kwargs) self.features = features self.data_url = data_url class Viznet(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [ ViznetConfig( name="pairs", features={ "source": datasets.Value("string"), "label": datasets.Sequence(datasets.Value("string")), }, data_url="https://huggingface.co/datasets/matchbench/viznet/resolve/main/viznet.zip" ), ViznetConfig(name="source", features={"column1": datasets.Value("string")}, data_url=None), ViznetConfig(name="target", features={"column1": datasets.Value("string")}, data_url=None), ] def _info(self): return datasets.DatasetInfo( features=datasets.Features(self.config.features) ) def _split_generators(self, dl_manager): if self.config.name == "pairs": path = dl_manager.download_and_extract(self.config.data_url) return [ datasets.SplitGenerator( name=split, gen_kwargs={ "source": os.path.join(path, f"viznet/{split}-source.json"), "label": os.path.join(path, f"viznet/{split}-label.json") } ) for split in [ "train", "valid", "test" ] ] return [] def _generate_examples(self, source, label): if self.config.name == "pairs": with open(source, "r") as f: source = json.load(f) with open(label, "r") as f: label = json.load(f) assert len(source) == len(label) for i in range(len(source)): yield i, { "source": source[i], "label": label[i], }