Audio · Text / Education
Textual Dataset [Call Summaries] – Real-world support call descriptions for NLP model training and intent analysis
Advertised by providerLicensing rights not independently verifiedPaid licence
Overview
Textual Dataset [Call Summaries] – Real-world support call descriptions for NLP model training and intent analysis is an audio and text dataset. Typical applications include speech recognition, fine-tuning & instruction data, conversational AI and 1 more. Relevant sectors: Education and AI & Machine Learning. The listing mentions transcription, timestamps and classification labels. It is offered as a paid dataset; pricing details are provided on request.
Primary applications
What the listing offers
- Listing mentions transcription, timestamps, classification labels.
This dataset provides textual summaries of real customer service calls, extracted and written by humans based on complete support interactions. Each summary captures the essence of the conversation, including the problem raised, resolution outcome, and emotional tone — offering highly relevant training data for natural language processing (NLP) tasks What’s included: - Verbatim call transcriptions of customer-agent dialogues - Human-curated summaries of each call’s topic and resolution - Sentiment classification per call: positive, neutral, or negative - Call duration, timestamp, location, and industry tags - Optional: company name and issue category Use this AI training dataset to: - Train large language models on real customer-service language and task flow - Improve chatbot responses with exposure to actual customer concerns - Model complaint escalation and frustration signals - Support summarization pipelines for QA and operations tools - Benchmark and test conversational agents on unseen, real-case inputs This dataset reflects how real customer concerns are summarized in the field — not templated or generated — making it a perfect fit for teams working on applied NLP, customer analytics, and AI explainability.
Related datasets
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Hindi AI Training Dataset [Support Calls] – Real customer voice data for multilingual speech and NLP model training
This dataset contains Hindi-language customer service calls, recorded from real consumer interactions across diverse Indian industries.
- Language
- Hindi
- Volume
- —
- Domain
- Education +1
- Use case
- Speech recognition
USD 10,000
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