customer data
customer-success-assistantlora-datasetv03-Llama-3.1-8B-customer-service-chatbotCustomers_Data_K-Means_Clusteringlora-datasetv02-Llama-3.1-8B-customer-service-chatbotlora-datasetv03-Llama-3.2-3B-customer-service-chatbot-FullKBcustomer_data_tuned_trial_1distilbert-base-uncased-customer-datalora-datasetv02-Llama-3.2-3B-customer-service-chatbot
Bitext-customer-support-llm-chatbot-training-dataset
Bitext - Customer Service 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 Customer Support 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-customer-support-llm-chatbot-training-dataset.Customer_support_faqs_datasetDataset Name: Customer Support FAQs Dataset
Description:
This dataset contains a collection of 200 frequently asked questions (FAQs) and their corresponding answers, designed to assist in customer support scenarios. The questions cover a wide range of common customer inquiries related to account management, payment methods, order tracking, shipping, returns, and more. This dataset is intended for use in developing and training AI models for customer support chatbots, automated response systems… See the full description on the dataset page: https://huggingface.co/datasets/MakTek/Customer_support_faqs_dataset.customer_support_conversations_dataset
💬 Customer Support Conversation Dataset — Powered by Syncora.ai
A free synthetic dataset for chatbot training, LLM fine-tuning, and synthetic data generation research.Created using Syncora.ai’s privacy-safe synthetic data engine, this dataset is ideal for developing, testing, and benchmarking AI customer support systems.
It serves as a dataset for chatbot training and a dataset for LLM training, offering rich, structured conversation data for real-world simulation.
🌟… See the full description on the dataset page: https://huggingface.co/datasets/strova-ai/customer_support_conversations_dataset.autotrain-data-quality-customer-reviews
AutoTrain Dataset for project: quality-customer-reviews
Dataset Descritpion
This dataset has been automatically processed by AutoTrain for project quality-customer-reviews.
Languages
The BCP-47 code for the dataset's language is en.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": " Love this truck, I think it is light years better than the competition. I have driven or… See the full description on the dataset page: https://huggingface.co/datasets/Gflorent/autotrain-data-quality-customer-reviews.Emotions-Annotated-Customer-Care-QA-Dataset-Romanized-and-Devanagari
Dataset Card for Dataset Name
यो देवनागरी नेपाली भाषाको डेटासेट विशेषगरी च्याटबोट प्रणालीहरू बनाउनको लागि डिजाइन गरिएको हो। यसमा विभिन्न श्रेणीहरूको डेटासेटहरू समावेश गरिएको छ, जसलाई JSON मा ढाँचा बनाईएको छ, जसले नेपाली वार्तालाप एआई अनुप्रयोगहरूको लागि भाषा मोडेलहरूलाई तालिम र फाइन-ट्यून गर्नको लागि व्यापक स्रोत प्रदान गर्दछ।
Dataset Prepared by:
Manoj Kumar Baniya
Aakash Kumar Thakur
Manish Kathet
Kshitiz Gajurel
Dataset Details
Dataset Description… See the full description on the dataset page: https://huggingface.co/datasets/kshitizgajurel/Emotions-Annotated-Customer-Care-QA-Dataset-Romanized-and-Devanagari.268-Hours-Arabic-Saudi-Full-Duplex-Multi-Channel-Customer-Service-Speech-Data-Sample
Description
Arabic(Saudi) Multi-stream Spontaneous Dialogue Smartphone speech dataset-Customer Service. Transcribed with text content, speaker's ID, gender, age and other attributes. Our dataset was collected from extensive and diversify speakers(268 native speakers), geographicly speaking, enhancing model performance in real and complex tasks.
For more details, please refer to the link: https://www.nexdata.ai/datasets/speechrecog/1627?source=Huggingface… See the full description on the dataset page: https://huggingface.co/datasets/Nexdata-AI/268-Hours-Arabic-Saudi-Full-Duplex-Multi-Channel-Customer-Service-Speech-Data-Sample.