| 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], | |
| } |