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azizshaw/events

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Hugging Face2024-05-22 更新2024-06-12 收录
下载链接:
https://hf-mirror.com/datasets/azizshaw/events
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资源简介:
--- dataset_info: features: - name: Cust_Sub_Id dtype: int64 - name: Event_Date dtype: string - name: OG_Call_Count dtype: float64 - name: OG_Bundle_Call_Count dtype: float64 - name: OG_PayG_Call_Count dtype: float64 - name: OG_Call_MOU dtype: float64 - name: OG_Bundle_Call_MOU dtype: float64 - name: OG_PayG_Call_MOU dtype: float64 - name: OG_IDD_Call_Count dtype: float64 - name: OG_IDD_Bundle_Call_Count dtype: float64 - name: OG_IDD_PayG_Call_Count dtype: float64 - name: OG_IDD_Call_MOU dtype: float64 - name: OG_IDD_Bundle_Call_MOU dtype: float64 - name: OG_IDD_PayG_Call_MOU dtype: float64 - name: OG_Roam_Call_Count dtype: float64 - name: OG_Roam_Bundle_Call_Count dtype: float64 - name: OG_Roam_PayG_Call_Count dtype: float64 - name: OG_Roam_Call_MOU dtype: float64 - name: OG_Roam_Bundle_Call_MOU dtype: float64 - name: OG_Roam_PayG_Call_MOU dtype: float64 - name: IC_Call_Count dtype: float64 - name: IC_Call_MOU dtype: float64 - name: Data_Volume dtype: float64 - name: Data_Bundle_Volume dtype: float64 - name: Data_PayG_Volume dtype: float64 - name: Data_Roam_Bundle_Volume dtype: float64 - name: Data_Roam_PayG_Volume dtype: float64 - name: Prepay_Data_Revenue dtype: float64 - name: Prepay_Voice_Revenue dtype: float64 - name: Prepay_Vas_Revenue dtype: float64 - name: Total_Revenue dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 1479229992 num_examples: 5645916 download_size: 220614594 dataset_size: 1479229992 --- # Dataset Card for "events" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
提供机构:
azizshaw
原始信息汇总

数据集概述

数据集特征

  • Cust_Sub_Id: 整数类型
  • Event_Date: 字符串类型
  • OG_Call_CountOG_Roam_PayG_Call_MOU: 一系列与通话相关的特征,均为浮点数类型
  • IC_Call_CountData_Roam_PayG_Volume: 一系列与数据使用相关的特征,均为浮点数类型
  • Prepay_Data_RevenueTotal_Revenue: 一系列与预付费收入相关的特征,均为浮点数类型
  • index_level_0: 整数类型

数据集拆分

  • train: 训练集,包含5645916个样本,总大小为1479229992字节

数据集大小

  • 下载大小: 220614594字节
  • 数据集总大小: 1479229992字节
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