README.md

Technical Support Conversations Dataset

This dataset contains 100 realistic technical support conversations between customers and support agents. Each dialogue is 11 turns long and covers common technical issues such as wifi disconnections, printer problems, laptop battery failures, software errors, and connectivity troubleshooting. It is ideal for training AI assistants, chatbots, and support models for IT helpdesks and technical support teams.

Dataset Structure

Each conversation is stored as a JSON object with the following fields:

• id: Unique identifier for the conversation.
• domain: Always "technical support" for this dataset.
• problem: Short description of the customer's technical issue.
• customer_type: Customer persona (e.g., "frustrated user", "elderly user").
• dialogue: List of alternating customer/agent messages. Each message has:
  • role: "customer" or "agent".
  • text: The message content.
• resolution: One-sentence summary of how the issue was resolved.

Example Conversation

{
  "id": 1,
  "domain": "technical support",
  "problem": "wifi keeps disconnecting",
  "customer_type": "frustrated user",
  "dialogue": [
    {
      "role": "customer",
      "text": "Hi, my wifi keeps disconnecting every few minutes and I have no idea what to do. It's driving me crazy."
    },
    {
      "role": "agent",
      "text": "Hello! I'm sorry to hear that. Let's fix this together. When did the disconnections start?"
    },
    {
      "role": "customer",
      "text": "It started two days ago, completely out of nowhere. I haven't changed anything."
    },
    {
      "role": "agent",
      "text": "Got it. Have you tried restarting your router and your device completely?"
    },
    {
      "role": "customer",
      "text": "Yes, I restarted multiple times. Same problem every time."
    },
    {
      "role": "agent",
      "text": "Let's go further. Can you check if there are any pending firmware updates for your router?"
    },
    {
      "role": "customer",
      "text": "I checked and there is a pending update. Should I install it now?"
    },
    {
      "role": "agent",
      "text": "Yes, please install that update and restart the router once it's complete."
    },
    {
      "role": "customer",
      "text": "Done! The wifi has been stable for the last 10 minutes. It's working now!"
    },
    {
      "role": "agent",
      "text": "Excellent! Glad we got that sorted. Is there anything else I can help you with today?"
    },
    {
      "role": "customer",
      "text": "No, that's everything. Thank you so much!"
    }
  ],
  "resolution": "Router firmware update resolved the disconnection issue. Customer confirmed stable connection after restart."
}

How to Use
Load with Python
python

import json

# Adjust the filename if yours is different (e.g., "dataset_technical_support.json")
with open("technical_support.json", "r", encoding="utf-8") as f:
    data = json.load(f)
    conversations = data["conversations"]

for conv in conversations:
    print(conv["problem"])

Load with Hugging Face Datasets
python

from datasets import load_dataset

dataset = load_dataset("ai-training-datasets/technical-support", split="train")
print(dataset[0])

Customer Personas Included

    frustrated user

    confused beginner

    impatient executive

    elderly user

    tech-savvy user

    calm and patient user

License

This dataset is released under the MIT License. You are free to use, modify, and distribute it for both research and commercial purposes.
Citation

If you use this dataset, please cite:
text

@dataset{ai_training_datasets_2026,
  title     = {AI Training Datasets: Technical Support Conversations},
  author    = {AI Training Datasets},
  year      = {2026},
  version   = {1.0},
  publisher = {Hugging Face}
}

## 💼 Commercial licensing

This dataset is available for free under the MIT License for non-commercial use.  
If you need a commercial license, custom datasets, or the full version with all 600 conversations, contact me at:

📧 cybernovasg@gmail.com