Binaryy/cream_listings
收藏Hugging Face2024-05-14 更新2024-03-04 收录
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https://hf-mirror.com/datasets/Binaryy/cream_listings
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资源简介:
---
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
dataset_info:
features:
- name: _id
dtype: string
- name: title
dtype: string
- name: location
dtype: string
- name: features
sequence: string
- name: description
dtype: string
- name: images
sequence: string
- name: videos
sequence: string
- name: available
dtype: bool
- name: price
dtype: float64
- name: attachedDocument
sequence: 'null'
- name: year
dtype: int64
- name: carCondition
dtype: string
- name: engineType
dtype: string
- name: colour
dtype: string
- name: model
dtype: string
- name: noOfBed
dtype: float64
- name: noOfBathroom
dtype: float64
- name: locationISO
dtype: string
- name: forRent
dtype: bool
- name: views
sequence: string
- name: thoseWhoSaved
sequence: string
- name: createdAt
dtype: string
- name: updatedAt
dtype: string
- name: __v
dtype: int64
- name: category._id
dtype: string
- name: category.title
dtype: string
- name: category.slug
dtype: string
- name: category.isAdminAllowed
dtype: string
- name: category.createdAt
dtype: string
- name: category.updatedAt
dtype: string
- name: category.__v
dtype: int64
- name: postedBy.pageViews.value
dtype: int64
- name: postedBy.pageViews.users
sequence: 'null'
- name: postedBy.totalSaved.value
dtype: int64
- name: postedBy.totalSaved.users
sequence: string
- name: postedBy._id
dtype: string
- name: postedBy.firstName
dtype: string
- name: postedBy.lastName
dtype: string
- name: postedBy.about
dtype: string
- name: postedBy.cover
dtype: string
- name: postedBy.email
dtype: string
- name: postedBy.password
dtype: string
- name: postedBy.isAdmin
dtype: bool
- name: postedBy.savedListing
sequence: string
- name: postedBy.isVerified
dtype: bool
- name: postedBy.verifiedProfilePicture
dtype: float64
- name: postedBy.profilePicture
dtype: string
- name: postedBy.pronoun
dtype: float64
- name: postedBy.userType
dtype: int64
- name: postedBy.accountType
dtype: int64
- name: postedBy.subscribed
dtype: bool
- name: postedBy.noOfSubscription
dtype: int64
- name: postedBy.totalListing
dtype: int64
- name: postedBy.sellerType
dtype: int64
- name: postedBy.createdAt
dtype: string
- name: postedBy.updatedAt
dtype: string
- name: postedBy.__v
dtype: int64
- name: postedBy.address
dtype: string
- name: postedBy.city
dtype: string
- name: postedBy.country
dtype: string
- name: postedBy.gender
dtype: string
- name: postedBy.nationality
dtype: string
- name: postedBy.verificationType
dtype: float64
- name: postedBy.dob
dtype: string
- name: postedBy.locationISO
dtype: string
- name: postedBy.state
dtype: string
- name: postedBy.zipCode
dtype: float64
- name: postedBy.otherNames
dtype: string
- name: postedBy.facebookUrl
dtype: string
- name: postedBy.instagramUrl
dtype: string
- name: postedBy.phoneNumber1
dtype: string
- name: postedBy.phoneNumber2
dtype: string
- name: postedBy.websiteUrl
dtype: string
- name: postedBy.accountName
dtype: string
- name: postedBy.accountNo
dtype: string
- name: postedBy.bankName
dtype: string
- name: postedBy.verificationId
dtype: float64
- name: string_features
dtype: string
- name: complete_description
dtype: string
splits:
- name: train
num_bytes: 1596937
num_examples: 423
download_size: 529413
dataset_size: 1596937
---
# Dataset Card for "cream_listings"
[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
The cream_listings dataset contains detailed information about property listings. It includes features such as _id, title, location, description, images, videos, price, year, carCondition, engineType, and many others. These fields cover a wide range of attributes related to listings, including the number of bedrooms and bathrooms, the condition of the car, and the type of engine. The dataset is split into a training set with 423 examples, totaling 1.59 MB in size. The README also mentions that more information is needed, indicating that the dataset card is incomplete and requires further contributions.
提供机构:
Binaryy
原始信息汇总
数据集概述
数据集配置
- 配置名称: default
- 数据文件:
- 分割: train
- 路径: data/train-*
数据集信息
- 特征:
- _id: 字符串
- title: 字符串
- location: 字符串
- features: 字符串序列
- description: 字符串
- images: 字符串序列
- videos: 字符串序列
- available: 布尔值
- price: 浮点数
- attachedDocument: 空序列
- year: 整数
- carCondition: 字符串
- engineType: 字符串
- colour: 字符串
- model: 字符串
- noOfBed: 浮点数
- noOfBathroom: 浮点数
- locationISO: 字符串
- forRent: 布尔值
- views: 字符串序列
- thoseWhoSaved: 字符串序列
- createdAt: 字符串
- updatedAt: 字符串
- __v: 整数
- category._id: 字符串
- category.title: 字符串
- category.slug: 字符串
- category.isAdminAllowed: 字符串
- category.createdAt: 字符串
- category.updatedAt: 字符串
- category.__v: 整数
- postedBy.pageViews.value: 整数
- postedBy.pageViews.users: 空序列
- postedBy.totalSaved.value: 整数
- postedBy.totalSaved.users: 字符串序列
- postedBy._id: 字符串
- postedBy.firstName: 字符串
- postedBy.lastName: 字符串
- postedBy.about: 字符串
- postedBy.cover: 字符串
- postedBy.email: 字符串
- postedBy.password: 字符串
- postedBy.isAdmin: 布尔值
- postedBy.savedListing: 字符串序列
- postedBy.isVerified: 布尔值
- postedBy.verifiedProfilePicture: 浮点数
- postedBy.profilePicture: 字符串
- postedBy.pronoun: 浮点数
- postedBy.userType: 整数
- postedBy.accountType: 整数
- postedBy.subscribed: 布尔值
- postedBy.noOfSubscription: 整数
- postedBy.totalListing: 整数
- postedBy.sellerType: 整数
- postedBy.createdAt: 字符串
- postedBy.updatedAt: 字符串
- postedBy.__v: 整数
- postedBy.address: 字符串
- postedBy.city: 字符串
- postedBy.country: 字符串
- postedBy.gender: 字符串
- postedBy.nationality: 字符串
- postedBy.verificationType: 浮点数
- postedBy.dob: 字符串
- postedBy.locationISO: 字符串
- postedBy.state: 字符串
- postedBy.zipCode: 浮点数
- postedBy.otherNames: 字符串
- postedBy.facebookUrl: 字符串
- postedBy.instagramUrl: 字符串
- postedBy.phoneNumber1: 字符串
- postedBy.phoneNumber2: 字符串
- postedBy.websiteUrl: 字符串
- postedBy.accountName: 字符串
- postedBy.accountNo: 字符串
- postedBy.bankName: 字符串
- postedBy.verificationId: 浮点数
- string_features: 字符串
- complete_description: 字符串
数据分割
- 名称: train
- 字节数: 1596937
- 样本数: 423
数据集大小
- 下载大小: 529413
- 数据集大小: 1596937



