Article Corpus: ~48,500 Edited Personal-Finance & Lifestyle Articles (2006–2026)
This is the provider’s editorial archive from 9 websites it owns.
- Language
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- Volume
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- Domain
- Consumer & Lifestyle +2
- Use case
- LLM pre-training
Commercial training data from specialist providers. Listings show what each source advertises; licensing is confirmed with the provider before any agreement.
This is the provider’s editorial archive from 9 websites it owns.
This dataset includes complete transcriptions of real customer service calls across industries such as retail, banking, entertainment, and tech.
This dataset consists of text-based records capturing informal group conversations in France.
This dataset consists of text-based records capturing casual group conversation scenarios in the United Kingdom.
This dataset contains text-based records capturing casual group conversation scenarios in the United States.
The provider OpenChat Corpus is a curated collection of 44.9 million conversational turns between real users and leading AI assistants.
Prompt and response information showing real LLM conversations opted-in consumers had with ChatGPT.
"This dataset captures customer complaints tied to service and experience failures, offering critical insights into where and how breakdowns occur.
A high-difficulty reasoning and benchmark dataset constructed in accordance with Korea-specific HLE standards based on Egyptian Arabic encompassing advanced…
A multilingual general-domain preference evaluation dataset built from questions in areas such as politics, finance, and society and three AI-generated answers, with…
This bundle pairs consumer questions with expert-style answers.
WiserBrand provides a massive, structured dataset of authentic product review data and service-level consumer complaints.
The provider’s Product Review Data and Employee Review Data can help teams add an extra qualitative layer to company analysis.
"This dataset includes millions of consumer reviews tagged with emotion signals, making it ideal for training AI systems to detect how people feel — not just what they…
"This dataset includes consumer-submitted reviews from over 6000 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 495 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 5086 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 462 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 11330 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 5930 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 479 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 9200 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 1162 companies, covering both product- and service-based businesses.
"This dataset includes consumer-submitted reviews from over 2205 companies, covering both product- and service-based businesses.