Dataset · Hugging Face

danystar/RetailBanking-Conversations

Name: RetailBanking-Conversations
Creator: danystar
License: mit
Keywords: task_categories:text-generation, task_categories:text-classification, language:en, license:mit, size_categories:1K<n<10K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us, finance, banking, synthetic

Dataset Description RetailBanking-Conversations is a synthetic dataset designed to train and evaluate language models in the retail banking domain, it has been created using the open source library wizardSdata that eable the creation of synthetic datasets in any field. The dataset contains 320 realistic conversations, across 160 unique financial profiles and 10 key retail banking topics, between financial advisors and clients, covering 10 main categories of banking products and… See the full description on the dataset page: https://huggingface.co/datasets/danystar/RetailBanking-Conversations.

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Author / organization	danystar
License (as declared)	mit
Downloads	234 (as reported by Hugging Face)
Likes	0
Created	17 September 2026
Last updated at source	17 September 2026

financebankingsyntheticllmdialogueretail-bankingopenaiwizardSdata

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