Structured complaint and resolution logs from customer support channels. The dataset was generated by electricsheepafrica and uploaded to Hugging Face on 2025-10-05. It contains 300,000 rows across 12 columns.
Use Cases
- Predict ticket resolution times based on structured complaint logs.
- Analyze customer complaint patterns and categories mentioned in the description.
- Train models for automated ticket routing or classification.
- Benchmark synthetic data generation techniques for customer support scenarios.
Strengths
- Dataset contains 300,000 rows, providing a substantial volume of records.
- Includes 12 columns, suggesting a multi-feature structure for analysis.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Data is synthetic, which may limit its applicability to real-world scenarios.
- Row count is listed as 300,000, but sample data is unavailable for verification.
Provenance
- Source
- electricsheepafrica
- Freshness
- Last updated 2025-10-05 20:19:30.
- Geography
- Nigeria