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import datasets |
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from datasets import load_dataset |
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_CONSTITUENT_DATASETS = ['SAT-4', 'SAT-6', 'NASC-TG2', 'WHU-RS19', 'RSSCN7', 'RS_C11', 'SIRI-WHU', 'EuroSAT', |
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'NWPU-RESISC45', 'PatternNet', 'RSD46-WHU', 'GID', 'CLRS', 'Optimal-31', |
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'Airbus-Wind-Turbines-Patches', 'USTC_SmokeRS', 'Canadian_Cropland', |
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'Ships-In-Satellite-Imagery', 'Satellite-Images-of-Hurricane-Damage', |
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'Brazilian_Coffee_Scenes', 'Brazilian_Cerrado-Savanna_Scenes', 'Million-AID', |
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'UC_Merced_LandUse_MultiLabel', 'MLRSNet', |
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'MultiScene', 'RSI-CB256', 'AID_MultiLabel'] |
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class SATINConfig(datasets.BuilderConfig): |
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"""BuilderConfig for SATIN""" |
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def __init__(self, name, **kwargs): |
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super(SATINConfig, self).__init__(version=datasets.Version("1.0.0"), **kwargs) |
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self.name = name |
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self.hf_dataset_name = 'jonathan-roberts1' + "/" + name |
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self.description = None |
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self.features = None |
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class SATIN(datasets.GeneratorBasedBuilder): |
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"""SATIN Images dataset""" |
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BUILDER_CONFIGS = [SATINConfig(name=dataset_name) for dataset_name in _CONSTITUENT_DATASETS] |
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def _info(self): |
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if self.config.description is None or self.config.features is None: |
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stream_dataset_info = load_dataset(self.config.hf_dataset_name, streaming=True, split='train').info |
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self.config.description = stream_dataset_info.description |
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self.config.features = stream_dataset_info.features |
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return datasets.DatasetInfo( |
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description=self.config.description, |
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features=self.config.features, |
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) |
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def _split_generators(self, dl_manager): |
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dataset = load_dataset(self.config.hf_dataset_name) |
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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={"data_path": dataset}, |
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), |
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] |
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def _generate_examples(self, data_path): |
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_DEFAULT_SPLIT = 'train' |
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huggingface_dataset = data_path['train'] |
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features = huggingface_dataset.features |
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for idx, row in enumerate(huggingface_dataset): |
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features_dict = {feature: row[feature] for feature in features} |
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image = features_dict.pop('image') |
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features_dict = {'image': image, **features_dict} |
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yield idx, features_dict |
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