Dataset · Hugging Face

bitext/Bitext-retail-banking-llm-chatbot-training-dataset

Name: Bitext-retail-banking-llm-chatbot-training-dataset
Creator: bitext
License: cdla-sharing-1.0
Keywords: task_categories:question-answering, task_categories:table-question-answering, language:en, license:cdla-sharing-1.0, size_categories:10K<n<100K, format:parquet, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, region:us, question-answering, llm, chatbot

Bitext - Retail Banking Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using our NLP/NLG technology and our automated Data Labeling (DAL) tools. The goal is to demonstrate how Verticalization/Domain Adaptation for the [Retail Banking] sector can be easily achieved using our two-step approach to LLM… See the full description on the dataset page: https://huggingface.co/datasets/bitext/Bitext-retail-banking-llm-chatbot-training-dataset

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Author / organization	bitext
License (as declared)	cdla-sharing-1.0
Downloads	613 (as reported by Hugging Face)
Likes	18
Created	16 May 2024
Last updated at source	15 July 2024

question-answeringllmchatbotbankingconversational-aigenerative-ainatural-language-understandingfine-tuningretail-banking

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16 Oct 2026 Description: Bitext - Retail Banking Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using → Bitext - Retail Banking Tagged Training Dataset for LLM-based Virtual Assistants Overview This hybrid synthetic dataset is designed to be used to fine-tune Large Language Models such as GPT, Mistral and OpenELM, and has been generated using

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