license:mit size_categories:n<1K format:csv modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# StreamPreferenceTracker

tags: user behavior, engagement, personalization

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'StreamPreferenceTracker' dataset is designed to assist streaming platform companies in understanding their customer demographics and behaviors. This data can be used for enhancing user engagement, tailoring content, and improving the overall customer experience. Each record contains detailed information about individual users, including their demographic background, subscription details, and activity on the platform.

**CSV Content Preview:**

```csv
Customer_ID,Age,Gender,Location,Subscription_Type,Sign_Up_Date,Last_Active_Date,Account_Status,Label
001,29,Female,California,Standard,2021-05-16,2023-01-22,Active,Content_Loyalty
002,34,Male,New York,Premium,2020-12-01,2023-02-11,Active,Binge_Watcher
003,22,Non-binary,Texas,Basic,2021-03-12,2023-01-08,Active,Feature_Seeker
004,45,Female,Illinois,Premium,2020-07-23,2023-01-29,Suspended,Content_Preference
005,38,Male,Florida,Standard,2021-06-09,2023-02-17,Active,Discontinued
```

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'Description: This dataset contains demographic and behavioral information about the streaming platform’s customers. It can be used to analyze user preferences and engagement levels. Fields: Customer_ID: Unique identifier for each customer. Age: Age of the customer. Gender: Gender of the customer (e.g., Male, Female, Non-binary). Location: Geographic region or country where the customer resides. Subscription_Type: Type of subscription plan (e.g., Basic, Standard, Premium). Sign_Up_Date: Date when the customer registered for the platform. Last_Active_Date: Date of the customer's last activity on the platform. Account_Status: Status of the account (e.g., Active, Cancelled, Suspended).':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=Description:+This+dataset+contains+demographic+and+behavioral+information+about+the+streaming+platform’s+customers.+It+can+be+used+to+analyze+user+preferences+and+engagement+levels.+Fields:+Customer_ID:+Unique+identifier+for+each+customer.+Age:+Age+of+the+customer.+Gender:+Gender+of+the+customer+(e.g.,+Male,+Female,+Non-binary).+Location:+Geographic+region+or+country+where+the+customer+resides.+Subscription_Type:+Type+of+subscription+plan+(e.g.,+Basic,+Standard,+Premium).+Sign_Up_Date:+Date+when+the+customer+registered+for+the+platform.+Last_Active_Date:+Date+of+the+customer's+last+activity+on+the+platform.+Account_Status:+Status+of+the+account+(e.g.,+Active,+Cancelled,+Suspended).&dataset=StreamPreferenceTracker&tags=user+behavior,+engagement,+personalization
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
