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# 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: | |
```json | |
[ | |
{ | |
"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"): | |
```json | |
{ | |
"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 | | |