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 = {
|
|
| 30 |
"train": "https://huggingface.co/datasets/mstz/waveformnoiseV1/raw/main/data.csv"
|
| 31 |
}
|
| 32 |
features_types_per_config = {
|
| 33 |
-
"waveformnoiseV1": {f"feature_{i}": datasets.Value("float64") for i in range(
|
| 34 |
-
"waveformnoiseV1_0": {f"feature_{i}": datasets.Value("float64") for i in range(
|
| 35 |
-
"waveformnoiseV1_1": {f"feature_{i}": datasets.Value("float64") for i in range(
|
| 36 |
-
"waveformnoiseV1_2": {f"feature_{i}": datasets.Value("float64") for i in range(
|
| 37 |
}
|
| 38 |
|
| 39 |
features_types_per_config["waveformnoiseV1"]["class"] = datasets.ClassLabel(num_classes=3)
|
|
|
|
| 30 |
"train": "https://huggingface.co/datasets/mstz/waveformnoiseV1/raw/main/data.csv"
|
| 31 |
}
|
| 32 |
features_types_per_config = {
|
| 33 |
+
"waveformnoiseV1": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
|
| 34 |
+
"waveformnoiseV1_0": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
|
| 35 |
+
"waveformnoiseV1_1": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
|
| 36 |
+
"waveformnoiseV1_2": {f"feature_{i}": datasets.Value("float64") for i in range(40)},
|
| 37 |
}
|
| 38 |
|
| 39 |
features_types_per_config["waveformnoiseV1"]["class"] = datasets.ClassLabel(num_classes=3)
|