Datasets:
Upload waveform_noise_v1.py
Browse files- waveform_noise_v1.py +4 -4
waveform_noise_v1.py
CHANGED
@@ -30,10 +30,10 @@ urls_per_split = {
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"train": "https://huggingface.co/datasets/mstz/waveformnoiseV1/raw/main/data.csv"
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}
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features_types_per_config = {
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"waveformnoiseV1": {f"feature_{i}": datasets.Value("float64") for i in range(
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"waveformnoiseV1_0": {f"feature_{i}": datasets.Value("float64") for i in range(
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"waveformnoiseV1_1": {f"feature_{i}": datasets.Value("float64") for i in range(
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"waveformnoiseV1_2": {f"feature_{i}": datasets.Value("float64") for i in range(
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}
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features_types_per_config["waveformnoiseV1"]["class"] = datasets.ClassLabel(num_classes=3)
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"train": "https://huggingface.co/datasets/mstz/waveformnoiseV1/raw/main/data.csv"
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}
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features_types_per_config = {
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+
"waveformnoiseV1": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
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+
"waveformnoiseV1_0": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
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"waveformnoiseV1_1": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
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+
"waveformnoiseV1_2": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
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}
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features_types_per_config["waveformnoiseV1"]["class"] = datasets.ClassLabel(num_classes=3)
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