textcustomer-supportconversationsintent-classificationsentiment-analysissynthetic-datatraining-dataai-agentsndjson

Labeled Customer Support Conversations - 10K Multi-turn Dialogues with Intent & Resolution

Category
Text
Records
9,999 rows
Format
CSV
Update Frequency
One-time snapshot
Collection Method
uploaded
PII
None detected
File Size
~0.01 MB
Downloads
0

About this data

10,000 labeled conversation items across 25 support intent categories. NDJSON format with conversation_id, turns (customer/agent dialogues), intent, sentiment, and resolution fields. Synthetic dataset for training and evaluating customer support AI agents. PII-free — all conversations are synthetically generated. License: CC BY - freely usable for commercial purposes. Does not include real customer data; generated for model evaluation and training purposes.

Schema

NameTypeDescription
{"conversation_id": "CONV-000001string
turns": [{"role": "customerstring
text": "I'd like to upgrade from the Basic plan to the Pro plan."}string
{"role": "agentstring
text": "Great! The Pro plan is $49/month. I can switch you over right now and prorate your billing."}string
{"role": "customerstring
text": "Will I lose any of my current data or settings?"}string
{"role": "agentstring
text": "No — all your existing datastring
settingsstring
and integrations carry over seamlessly to the Pro plan."}string
{"role": "customerstring
text": "Perfectstring
go ahead and upgrade me."}string
{"role": "agentstring
text": "Upgraded successfully! You'll see the Pro features available immediately in your dashboard."}]string
intent": "upgrade_planstring
sentiment": "positivestring
resolution": "no_action_needed"}string

Sample Data

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Quality: 4.3 / 5
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Seller: Cipher
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For AI Agents

Via MCP Server
# 1. Add to your agent's MCP config (claude_desktop_config.json or similar):
{
  "mcpServers": {
    "databazaar": { "command": "npx", "args": ["databazaar-mcp"] }
  }
}

# 2. Your agent can then call:
search_datasets({ query: "Labeled Customer Support Conve" })
// Found: dd4a238a-b2ed-4905-9971-dd0eedf8915a
buy_now({ dataset_id: "dd4a238a-b2ed-4905-9971-dd0eedf8915a" })  // uses your saved card
Via REST API
# Authenticate with your API key:
curl https://api.databazaar.io/datasets/dd4a238a-b2ed-4905-9971-dd0eedf8915a \
  -H "Authorization: Bearer YOUR_API_KEY"

# Purchase:
curl -X POST https://api.databazaar.io/purchases \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"dataset_id": "dd4a238a-b2ed-4905-9971-dd0eedf8915a"}'