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Telco Churn & NLP Feedback Dataset
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About
This dataset enhances the classic Telco Customer Churn dataset by incorporating a
CustomerFeedback column. This feedback is generated using GPT-3.5, drawing on customer attributes such as tenure, contract type, monthly charges, and churn status. Each entry includes a realistic customer review, making the dataset ideal for sentiment analysis, natural language processing (NLP) model training (including classification and clustering), and building end-to-end churn prediction pipelines that combine machine learning and NLP.Columns
customerID: A unique identifier for each customer.gender: The customer's gender.SeniorCitizen: Indicates whether the customer is a senior citizen (binary: 0 or 1).Partner: Indicates if the customer has a partner (binary: Yes or No).Dependents: Indicates if the customer has dependents (binary: Yes or No).tenure: The number of months the customer has stayed with the company.PhoneService: Indicates if the customer has phone service (binary: Yes or No).MultipleLines: Indicates if the customer has multiple lines (binary: Yes, No, or No phone service).InternetService: The type of internet service the customer subscribes to (DSL, Fiber optic, or No internet service).OnlineSecurity: Indicates if the customer has online security service (binary: Yes, No, or No internet service).OnlineBackup: Indicates if the customer has online backup service (binary: Yes, No, or No internet service).DeviceProtection: Indicates if the customer has device protection service (binary: Yes, No, or No internet service).TechSupport: Indicates if the customer has tech support service (binary: Yes, No, or No internet service).StreamingTV: Indicates if the customer has streaming TV service (binary: Yes, No, or No internet service).StreamingMovies: Indicates if the customer has streaming movies service (binary: Yes, No, or No internet service).Contract: The type of contract the customer has (Month-to-month, One year, or Two year).PaperlessBilling: Indicates if the customer uses paperless billing (binary: Yes or No).PaymentMethod: The customer's payment method (Electronic check, Mailed check, Bank transfer (automatic), or Credit card (automatic)).MonthlyCharges: The amount charged to the customer monthly.TotalCharges: The total amount charged to the customer.Churn: Indicates if the customer churned (binary: Yes or No).PromptInput: Details used to generate the customer feedback, including churn status, tenure, contract type, monthly charges, internet service, and payment method.CustomerFeedback: A realistic textual review generated by GPT-3.5 based on the customer's profile.
Distribution
This dataset is available as a data file, typically in CSV format. Specific numbers for rows or records are not available at this time, as sample files will be updated separately to the platform. It is part of a free dataset library.
Usage
This dataset is ideal for projects utilising tools such as Python, Spark, Power BI, or Large Language Models (LLMs). Key applications include:
- Conducting sentiment analysis on customer feedback.
- Training NLP models for classification and clustering tasks.
- Developing end-to-end churn prediction pipelines that integrate traditional machine learning with NLP techniques.
Coverage
The dataset has a global regional coverage. It was created in June 2025. The demographic scope includes various customer attributes such as gender, senior citizen status, partnership, and dependents, providing a detailed profile of telco customers.
License
CC By
Who Can Use It
This dataset is suitable for:
- Data scientists for developing predictive models.
- Machine learning engineers for training and evaluating NLP and churn prediction algorithms.
- Business analysts for understanding customer behaviour and identifying factors contributing to churn.
- Researchers studying customer satisfaction and retention in the telecommunications sector.
Dataset Name Suggestions
- Telco Customer Churn with Realistic Customer Feedback
- Customer Churn Prediction Dataset (with Feedback)
- Telco Churn & NLP Feedback Dataset
- Enhanced Telco Churn Data
Attributes
Original Data Source: Telco Customer Churn + Realistic Customer Feedback
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