datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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-tickets
Featuring Labeled Customer Emails and Support Responses
🔧 Synthetic IT Ticket Generator — Custom Dataset
Create a dataset tailored to your own queues & priorities (no PII).
👉 Generate custom data
Define your queues, priorities, language
Need an on-prem AI to auto-classify tickets?→ Open Ticket AI
There are 2 Versions of the dataset, the new version has more tickets, but only languages english and german. So please look at both files, to find what best fits… See the full description on the dataset page: https://huggingface.co/datasets/Tobi-Bueck/customer-support-tickets.telco-customer-churn
Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn dataset with additional details.
Dataset Details
Dataset Description
This merged Telco Customer Churn dataset provides a comprehensive view of customer… See the full description on the dataset page: https://huggingface.co/datasets/aai510-group1/telco-customer-churn.Customer-Support-Responsestelco-customer-churn3telco_customer_churnwellness-tourism-customersSPADE-customer-service-dialogue
SPADE: Structured Prompting Augmentation for Dialogue Enhancement in Machine-Generated Text Detection
Paper | Code
SPADE contains a repository of customer service line synthetic user dialogues with goals, augmented from MultiWOZ 2.1 using GPT-3.5 and Llama 70B.
The datasets are intended for training and evaluating machine generated text detectors in dialogue settings.
There are 15 English datasets generated using 5 different augmentation methods and 2 large language models… See the full description on the dataset page: https://huggingface.co/datasets/AngieYYF/SPADE-customer-service-dialogue.telco-customer-churntts-eval-customer-support-202608
TTS Hard Cases — Customer Support
A compact, text-only evaluation set of hard cases for text-to-speech models, focused on the
customer support use case. Published by Gradium.
Most TTS benchmarks measure naturalness on ordinary prose, where modern models are already close to
saturated. Production voice agents fail somewhere else: on the literal payload of a support call —
the order number, the email address, the spelled-out surname, the date, the amount refunded. A voice
that… See the full description on the dataset page: https://huggingface.co/datasets/gradium/tts-eval-customer-support-202608.customer_churncrros-customer-behavior-dataset
CRROS Customer Behavior Dataset
This dataset is part of my Customer Retention & Revenue Optimization System (CRROS) project. The goal of the project is to simulate realistic customer behavior and use it to build an end-to-end customer analytics workflow, from raw data all the way to business decisions.
Instead of generating completely random records, the dataset follows business-driven rules that simulate how customers interact with products, make purchases, become inactive over… See the full description on the dataset page: https://huggingface.co/datasets/nibeditans/crros-customer-behavior-dataset.customer_service_intent_detectiontelco-customer-churn
Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn dataset with additional details.
Dataset Details
Dataset Description
This merged Telco Customer Churn dataset provides a comprehensive view of customer… See the full description on the dataset page: https://huggingface.co/datasets/mirunavasile/telco-customer-churn.customer-service-robot-support
This Dialogue
Comprised of fictitious examples of dialogues between a customer encountering problems with a robotic arm and a technical support agent. Check out the example below:
"id": 1,
"description": "Robotic arm calibration issue",
"dialogue": "Customer: My robotic arm seems to be misaligned. It's not picking objects accurately. What can I do? Agent: It appears that the arm may need recalibration. Please follow the instructions in the user manual to reset the calibration… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/customer-service-robot-support.customer-support-tickets
Featuring Labeled Customer Emails and Support Responses
🔧 Synthetic IT Ticket Generator — Custom Dataset
Create a dataset tailored to your own queues & priorities (no PII).
👉 Generate custom data
Define your queues, priorities, language
Need an on-prem AI to auto-classify tickets?→ Open Ticket AI
There are 2 Versions of the dataset, the new version has more tickets, but only languages english and german. So please look at both files, to find what best fits your needs.… See the full description on the dataset page: https://huggingface.co/datasets/vasu1111/customer-support-tickets.customer-support-tickets
Featuring Labeled Customer Emails and Support Responses
🔧 Synthetic IT Ticket Generator — Custom Dataset
Create a dataset tailored to your own queues & priorities (no PII).
👉 Generate custom data
Define your queues, priorities, language
Need an on-prem AI to auto-classify tickets?→ Open Ticket AI
There are 2 Versions of the dataset, the new version has more tickets, but only languages english and german. So please look at both files, to find what best fits your needs.… See the full description on the dataset page: https://huggingface.co/datasets/Prady06/customer-support-tickets.customersatisfactiontourism-customer-dataBitext-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/abhi23457/Bitext-customer-support-llm-chatbot-training-dataset.CustomerTicketSyntheticData
Customer Support Ticket Sentiment Analysis (Synthetic Data)
Overview
This dataset contains synthetically generated customer support tickets with corresponding sentiment labels. It is designed to simulate real-world customer interactions across various industries, providing a balanced distribution of sentiment classes. This dataset is ideal for training and testing machine learning models for sentiment analysis in customer support scenarios.
Dataset Details… See the full description on the dataset page: https://huggingface.co/datasets/BharathBOLT/CustomerTicketSyntheticData.github_fetch_huggingface_terminal_7959_781caee4_customer_reviews
Customer Reviews Corpus
Anonymized customer reviews with ratings and verified purchase flags.
customer-service-grocery-cashier
This Dialogue
Comprised of fictitious examples of dialogues between a customer at a grocery store and the cashier. Check out the example below:
"id": 1,
"description": "Price inquiry",
"dialogue": "Customer: Excuse me, could you tell me the price of the apples per pound? Cashier: Certainly! The price for the apples is $1.99 per pound."
How to Load Dialogues
Loading dialogues can be accomplished using the fun dialogues library or Hugging Face datasets library.… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/customer-service-grocery-cashier.telco-customer-churn
Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn dataset with additional details.
Dataset Details
Dataset Description
This merged Telco Customer Churn dataset provides a comprehensive view of customer… See the full description on the dataset page: https://huggingface.co/datasets/Brammi114/telco-customer-churn.telco-customer-churn
Dataset Card for Telco Customer Churn
This dataset contains information about customers of a fictional telecommunications company, including demographic information, services subscribed to, location details, and churn behavior. This merged dataset combines the information from the original Telco Customer Churn dataset with additional details.
Dataset Details
Dataset Description
This merged Telco Customer Churn dataset provides a comprehensive view… See the full description on the dataset page: https://huggingface.co/datasets/nihalslmm/telco-customer-churn.github_fetch_huggingface_terminal_7959_fbb2f2a3_customer_reviews
Customer Reviews Corpus
Anonymized customer reviews with ratings and verified purchase flags.
customers-reviews-on-banks
Customers Reviews on Banks ⭐️
The Reviews on Banks Dataset is a comprehensive collection of 20,000 the most recent customer reviews on 48 US banks.
This dataset containing diverse reviews on multiple banks, can be useful for sentiment analysis, assessing geographical variations in customer satisfaction, and exploring customer preferences through textual data.
Understanding customer sentiments and preferences helps banks improve their services and address any issues raised by… See the full description on the dataset page: https://huggingface.co/datasets/UniqueData/customers-reviews-on-banks.customer-complaints
License
apache-2.0
About
Source
https://catalog.data.gov/dataset/consumer-complaint-database
Data Prep
removed rows with empty values
filtered out complaints with over 100 words
filtered out products, sub-products, issues and sub-issues with less than 30 occurrences
Purpose
Intended for use in the HPE Generative AI "Financial Customer Classification" tutorial.
No-Code Version (UI Only)
Notebooks Version
mall_customersCustomer_Satisfaction_Survey