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_data_files
list | _fingerprint
string | _format_columns
sequence | _format_kwargs
dict | _format_type
null | _indexes
dict | _output_all_columns
bool | _split
null |
|---|---|---|---|---|---|---|---|
[
{
"filename": "dataset.arrow"
}
] | 26c950643dbedb35 | [
"feat_potencia",
"feat_rssi",
"feat_snr",
"feat_spreading_factor",
"id",
"target"
] | {} | null | {} | false | null |
AutoTrain Dataset for project: trackerlora_less_data
Dataset Description
This dataset has been automatically processed by AutoTrain for project trackerlora_less_data.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"id": 444,
"feat_rssi": -113.0,
"feat_snr": -9.25,
"feat_spreading_factor": 7,
"feat_potencia": 14,
"target": 308.0
},
{
"id": 144,
"feat_rssi": -77.0,
"feat_snr": 8.800000190734863,
"feat_spreading_factor": 7,
"feat_potencia": 14,
"target": 126.0
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"id": "Value(dtype='int64', id=None)",
"feat_rssi": "Value(dtype='float64', id=None)",
"feat_snr": "Value(dtype='float64', id=None)",
"feat_spreading_factor": "Value(dtype='int64', id=None)",
"feat_potencia": "Value(dtype='int64', id=None)",
"target": "Value(dtype='float32', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 139 |
| valid | 40 |
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