datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SPADE-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.customer_service_intent_detectioncustomer-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-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.banking_customer_service_query_intent
Description
Synthetic dataset comprising of query:intent pairs. Created using AI prompts. Covers professional as well as casual speech.
customer_service_summarizationcustomer_service_information_extractioncustomer-service-for-llmTelecom-Chatbot-Customer-Service-Issues-Harmful
Dataset Card for Customer Service Issues Harmful
Description
The test set aims to evaluate the performance and robustness of a Telecom Chatbot in handling customer service issues within the telecom industry. It focuses on identifying harmful behaviors exhibited by the chatbot and ensuring its ability to effectively address customer queries and concerns. By simulating real-world scenarios, the test set evaluates the chatbot's capability to handle a wide range of customer… See the full description on the dataset page: https://huggingface.co/datasets/rhesis/Telecom-Chatbot-Customer-Service-Issues-Harmful.customer-service-apple-picker-maintenance
This Dialogue
Comprised of fictitious examples of dialogues between a technician and an expert on maintaining automated apple picker machines. Check out the example below:
"id": 1,
"description": "Machine not picking apples",
"dialogue": "Technician: Hello, one of our apple picker machines is not picking apples. What should I do to fix it?\n\nExpert: Check the picking arms for any obstructions or damage. Clean or replace them if necessary. Also, ensure the collection basket is not… See the full description on the dataset page: https://huggingface.co/datasets/FunDialogues/customer-service-apple-picker-maintenance.Customer-Service-ChatbotCustomer_Service_Synthetic_1alpaca-customer-service-cleancustomer-serviceCustomer_Service_Datasetcustomer-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/jedsfaasdf/customer-service-grocery-cashier.job-queries-and-customer-servicebank_melli_iran_customer_service_chatbot_bart_dataset
Bank Melli Iran Customer Service Chatbot
Description: Classify customer inquiries into predefined categories and provide automated responses, improving customer service and reducing response time
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/bank_melli_iran_customer_service_chatbot_bart"
model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/bank_melli_iran_customer_service_chatbot_bart_dataset.customerservice_qa_semantic_lexical_resultsnice-and-bella-customer-service
Dataset Card for Nice and Bella customer service Dataset
1k balanced records by category aimed to train a Nice's customer service LLM model.
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): Spanish
License:… See the full description on the dataset page: https://huggingface.co/datasets/hmorales21/nice-and-bella-customer-service.