datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
it-support-l1-ticket-classification
IT Support L1 Multilingual Dataset
Dataset Summary
IT Support L1 Multilingual Dataset is a synthetic enterprise help desk dataset for ticket classification and troubleshooting response generation. It contains realistic Level 1 IT support scenarios in English and Czech, designed for experiments in structured classification, response generation, and multilingual support workflow prototyping.
This dataset contains synthetic IT Support L1 scenarios. The records were generated… See the full description on the dataset page: https://huggingface.co/datasets/w1z4rd3k/it-support-l1-ticket-classification.ticket_classification_IT_EN
Dataset Description
This dataset is used to fine-tuning xlm-roberta-base for IT ticket classification, you can access it here:
https://huggingface.co/Noise144/xlm-roberta-base-finetuned-IT-EN-classification-ticket
Dataset contains a total of 1800 ticket texts.
The dataset contains 18 classes related to the following macros:
Database 3 class
Hardware 6 class
Inquiry/help 2 class
Network 5 class
software 2 class
The data was generated using GPT 3.5-turbo and does not contain any… See the full description on the dataset page: https://huggingface.co/datasets/Noise144/ticket_classification_IT_EN.it_support_ticket_classification_pegasus_dataset
IT Support Ticket Classification
Description: Automatically categorize and prioritize IT support tickets based on their text descriptions, enabling more efficient resolution and customer support.
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/it_support_ticket_classification_pegasus"
model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/it_support_ticket_classification_pegasus_dataset.bilingual-ticket-classification
📬 Bilingual Ticket Classification Dataset
This dataset is a balanced and augmented version of the Customer Support Tickets dataset, designed for multilingual text classification tasks. It has been balanced across three key features, language, queue, and type, ensuring that each combination contains approximately 100 samples. Balancing was achieved through back-translation and data augmentation techniques applied to the original dataset.
📊 Dataset Overview
Split:… See the full description on the dataset page: https://huggingface.co/datasets/ale-dp/bilingual-ticket-classification.TicketClassificationDatagerman-english-email-ticket-classification
Customer Support Tickets (Short Version)
This dataset is a simplified version of the Customer Support Tickets dataset.
Dataset Details:
The dataset includes combinations of the following columns:
type
queue
priority
language
Modifications:
Shortened Version: This version only includes the first three rows for each combination of the above columns (i.e., 'type', 'queue', 'priority', 'language').
This reduction makes the dataset smaller and more manageable… See the full description on the dataset page: https://huggingface.co/datasets/ale-dp/german-english-email-ticket-classification.customer_support_ticket_classification_pegasus_dataset
Customer Support Ticket Classification
Description: Categorize customer support tickets based on their content to improve the efficiency of the support team and provide faster resolution times.
How to Use
Here is how to use this model to classify text into different categories:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model_name = "interneuronai/customer_support_ticket_classification_pegasus"
model =… See the full description on the dataset page: https://huggingface.co/datasets/interneuronai/customer_support_ticket_classification_pegasus_dataset.AI_Python_Support_Ticket_Classificationbilingual-ticket-classification_1
📬 Bilingual Ticket Classification Dataset
This dataset is a balanced and augmented version of the Customer Support Tickets dataset, designed for multilingual text classification tasks. It has been balanced across three key features, language, queue, and type, ensuring that each combination contains approximately 100 samples. Balancing was achieved through back-translation and data augmentation techniques applied to the original dataset.
📊 Dataset Overview
Split:… See the full description on the dataset page: https://huggingface.co/datasets/Eklavya73/bilingual-ticket-classification_1.