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New York Housing Description Clarity Dataset
E-commerce & Online Transactions
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Free
About
This dataset's primary purpose is to classify house and commercial space advertisements based on the clarity of their descriptions. It provides a valuable resource for understanding and identifying vague or unclear property listings, which is crucial for improving communication in online real estate platforms. The data facilitates the development of automated systems that can assess the quality of ad content.
Columns
- description: This column contains the textual content of the property advertisements. These descriptions originate from various sources and are the subject of classification.
- Vague/Not: This column indicates the clarity status of the corresponding description. A value of 0 signifies that the advertisement description is considered vague, while a value of 1 denotes that it is not vague, meaning it is clear.
Distribution
The dataset is typically structured in a tabular format, expected to be presented as a CSV file. While the exact total number of rows or records across the entire dataset is not specified in the provided information, the data includes counts for different label distributions, such as 440 instances for lower vagueness scores and 385 for higher clarity scores, alongside 827 other categorised items. Specific numbers for the overall dataset size are not explicitly available.
Usage
This dataset is ideally suited for several applications, including:
- Developing and refining Natural Language Processing (NLP) models for text classification and clarity assessment.
- Creating tools for automatic detection of ambiguous or vague language in property advertisements.
- Improving the user experience on online rental and real estate marketplaces by ensuring clearer listings.
- Researching patterns of linguistic clarity and ambiguity within real estate advertising content.
- Training machine learning algorithms for content moderation or quality control in e-commerce and online transaction platforms.
Coverage
The dataset specifically pertains to New York room rental advertisements, indicating a geographic focus on this city. The sources do not provide details regarding the exact time range when the data was collected or any specific demographic scope.
License
CCO
Who Can Use It
- Data scientists and machine learning engineers focused on building and deploying text classification and NLP models.
- Researchers in the fields of natural language processing, linguistics, and real estate market analysis.
- Developers and product managers for online rental platforms and real estate agencies seeking to enhance their listing quality and user satisfaction.
- Businesses operating in the e-commerce, property management, or accommodation sectors that rely on clear communication in their advertising.
Dataset Name Suggestions
- New York Property Ad Clarity Dataset
- NYC Rental Ad Ambiguity Classifier
- Property Advertisement Vague/Not Classification
- New York Housing Description Clarity Dataset
Attributes
Original Data Source: Newyork Room Rental Ads
QUALITY