pcoloc/autotrain-data-dragino-7-7-max_495m

该数据集是通过AutoTrain自动处理的，用于项目dragino-7-7-max_495m。数据集的BCP-47语言代码为unk，表示语言未知。数据集包含feat_rssi、feat_snr和target三个字段，分别表示接收信号强度指示、信噪比和目标值。数据集被分为训练集和验证集，训练集包含853个样本，验证集包含286个样本。This dataset was automatically processed via AutoTrain for the project dragino-7-7-max_495m. Its BCP-47 language code is unk, indicating the language is unknown. The dataset includes three fields: feat_rssi, feat_snr, and target, which respectively stand for Received Signal Strength Indication (RSSI), Signal-to-Noise Ratio (SNR), and the target value. The dataset is divided into a training set and a validation set, with the training set containing 853 samples and the validation set containing 286 samples.

原始信息汇总

AutoTrain Dataset for project: dragino-7-7-max_495m

Dataset Description

• Project Name: dragino-7-7-max_495m
• Language: The datasets language is identified by the BCP-47 code unk.

Dataset Structure

Data Instances

• Sample Structure: json [ { "feat_rssi": -91, "feat_snr": 7.5, "target": 125.0 }, { "feat_rssi": -96, "feat_snr": 5.0, "target": 125.0 } ]

Dataset Fields

• Fields: json { "feat_rssi": "Value(dtype=int64, id=None)", "feat_snr": "Value(dtype=float64, id=None)", "target": "Value(dtype=float32, id=None)" }

Dataset Splits

• Splits and Sizes:

  Split name	Num samples
  train	853
  valid	286