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import os |
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import datasets |
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import numpy as np |
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class YourDataset(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="i3d_rgb", |
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version=VERSION, |
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description="i3d RGB dataset", |
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features=datasets.Features({"video": datasets.Sequence(datasets.Value("float32"))}), |
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), |
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datasets.BuilderConfig( |
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name="i3d_flow", |
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version=VERSION, |
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description="i3d Flow dataset", |
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features=datasets.Features({"video": datasets.Sequence(datasets.Value("float32"))}), |
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), |
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datasets.BuilderConfig( |
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name="vggish_train", |
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version=VERSION, |
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description="VGGish Train dataset", |
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features=datasets.Features({"audio": datasets.Sequence(datasets.Value("float32"))}), |
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), |
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datasets.BuilderConfig( |
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name="vggish_test", |
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version=VERSION, |
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description="VGGish Test dataset", |
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features=datasets.Features({"audio": datasets.Sequence(datasets.Value("float32"))}), |
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), |
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] |
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def _info(self): |
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features = self.config.features |
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return datasets.DatasetInfo( |
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features=features, |
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) |
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def _split_generators(self, dl_manager): |
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data_dir = "Alkemi/xd-violence-small" |
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splits = [] |
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for config in self.configs: |
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if config.name.startswith("i3d-features"): |
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split_name = config.name.split("_")[1] |
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splits.append( |
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datasets.SplitGenerator(name=split_name, gen_kwargs={"data_dir": os.path.join(data_dir, "i3d-features", split_name)}) |
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) |
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elif config.name.startswith("vggish-features"): |
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split_name = config.name.split("_")[1] |
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splits.append( |
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datasets.SplitGenerator(name=split_name, gen_kwargs={"data_dir": os.path.join(data_dir, "vggish-features", split_name)}) |
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) |
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return splits |
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def _generate_examples(self, data_dir): |
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filepaths = [] |
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for root, dirs, files in os.walk(data_dir): |
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for file in files: |
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if file.endswith(".npy"): |
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filepaths.append(os.path.join(root, file)) |
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for i, filepath in enumerate(filepaths): |
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data = np.load(filepath) |
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yield i, {"video": data} |
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