Synthetic Customer Support CRM Dataset for Analytics and ML Workflows

A fully synthetic, multi-table relational dataset designed for experiments in customer-support analytics, SQL training, and machine learning workflows. All data was generated using ChatGPT and contains no real personal information. The dataset was created by author air5978 and last updated on 2026-03-29.

Use Cases

• Training SQL queries on a multi-table relational structure based on the dataset description
• Building and testing RAG pipelines for customer support using synthetic ticket details
• Developing agent-based reasoning systems for CRM analytics workflows
• Experimenting with machine learning models for customer support prediction using synthetic features

Strengths

• Data is fully synthetic, eliminating privacy concerns associated with real personal information
• Designed as a multi-table relational dataset, likely supporting complex join operations
• Explicitly generated for multiple experimental use cases including SQL training and RAG pipelines

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count, file formats, and dataset size are unknown, which may limit suitability assessment
• Data may reflect the biases and patterns inherent to the ChatGPT generation method

Provenance

Source

huggingface

Collection Method

Generated using ChatGPT

Time Range

null

Freshness

Last updated 2026-03-29 12:44:22; freshness should be verified

Geography

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