100 realistic financial support conversations between customers and agents, each spanning 11 turns, were released by ai-training-datasets in March 2026. The data covers specific banking domains including fraud disputes, suspicious charges, and failed wire transfers to support chatbot development.
Use Cases
- Training chatbots to handle 'suspicious charges' and 'fraud disputes' through multi-turn dialogue
- Fine-tuning LLMs for financial customer support context using 11-turn interaction sequences
- Testing intent recognition for 'failed wire transfers' within a conversational flow
Strengths
- 100 multi-turn dialogues
- Consistent 11-turn structure per conversation
- Covers 5+ specific banking issue categories
Limitations
- Small sample size of 100 records
- Fixed turn length may lack natural conversational variance
- Unknown column schema
Provenance
- Source
- ai-training-datasets
- Freshness
- Last updated March 2026
- Geography
- United States