Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training product image in hero

Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training

WiserBrand.com
5.0(2)Badge iconVerified Data Provider
Company name
Date
Transcription
Summary
Duration
Location
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Volume
350K
calls per month
Avail. Formats
.csv, .json, and .txt
File
Coverage
1
Country
History
1
years

Data Dictionary

[Sample] Transcriptions Dataset
Attribute Type Example Mapping
Company name
String Amazon
Date
String 15:56 2025-04-11
Transcription
String [Speaker System]: By proceeding with this call you agree ...
Summary
String The Amazon customer service representative helps the cust...
Duration
String 0:03:50
Location
String Manhattan, New York, United States

Description

This call transcription dataset contains real support conversations with customer support representatives from for CX and AI teams.
This dataset includes complete transcriptions of real customer service calls across industries such as retail, banking, entertainment, and tech. Each entry reflects a real conversation between customers and support agents, enriched with summary text, metadata, and labeled sentiment. Dataset contents: - Full transcription of each call (e.g., “[Speaker System]: ...”) - Human-written summaries capturing key issues and resolutions - Company name and industry context - Call duration, timestamp, and caller location (city, state, country) - Sentiment classification: positive, neutral, or negative (optional) Use cases: -Train generative AI models on real-world customer interaction language - Detect churn, escalation, or resolution failure based on complaint narratives - Build summarization engines and QA dashboards using annotated summaries - Benchmark support performance across companies and industries - Structure training material for AI support agents, sentiment classifiers, or CX monitoring tools This dataset turns raw conversations into a valuable foundation for speech modeling, empathy training, and customer service innovation.

Country Coverage

North America (1)
United States of America

History

1 years of historical data

Volume

140,000 companies
350,000 calls per month

Pricing

10% discount if you buy via Datarade
License Starts at
One-off purchase
$5,000$4,500 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
Email
REST API
Frequency
hourly
daily
weekly
monthly
quarterly
yearly
on-demand
Format
.csv
.json
.txt
.xls

Use Cases

Categories

Related Searches

Related Products

Frequently asked questions

What is Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training?

This call transcription dataset contains real support conversations with customer support representatives from for CX and AI teams.

What is Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training used for?

This product has 3 key use cases. WiserBrand.com recommends using the data for Sentiment Analysis, Speech Recognition, and LLM Training. Global businesses and organizations buy Consumer Sentiment Data from WiserBrand.com to fuel their analytics and enrichment.

Who can use Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Sentiment Data. Get in touch with WiserBrand.com to see what their data can do for your business and find out which integrations they provide.

How far back does the data in Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training go?

This product has 1 years of historical coverage. It can be delivered on a hourly, daily, weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training cover?

This product includes data covering 1 country like USA. WiserBrand.com is headquartered in United States of America.

How much does Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training cost?

Pricing for Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training starts at USD5,000 per purchase. WiserBrand.com offers a 10% discount when you buy data from them through Datarade. Connect with WiserBrand.com to get a quote and arrange custom pricing models based on your data requirements.

How can I get Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training?

Businesses can buy Consumer Sentiment Data from WiserBrand.com and get the data via S3 Bucket, Email, and REST API. Depending on your data requirements and subscription budget, WiserBrand.com can deliver this product in .csv, .json, .txt, and .xls format.

What is the data quality of Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training?

You can compare and assess the data quality of WiserBrand.com using Datarade’s data marketplace. WiserBrand.com has received 2 reviews from clients.

What are similar products to Call Transcription Dataset [USA] – Real customer conversations for CX, NLP, and AI training?

This product has 3 related products. These alternatives include Customer Service Call Dataset [Multisector] – Annotated support transcripts for training AI and improving CX, Audio Annotation Services AI-assisted Labeling Speech Data AI Training Data Natural Language Processing (NLP) Data, and Global English Speech with Accent Conversational Dataset — Multi-Region Validated Speech with Gender, Age & Metadata for AI & NLP Training. You can compare the best Consumer Sentiment Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Starts at
$5,000$4,500 / purchase
License Starts at
One-off purchase
$5,000$4,500 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available