TextAdvertised
This dataset contains text-based records capturing cybersecurity alert handling scenarios in France, framed for finance-focUnited Statesed analysis.
- Language
- French
- Volume
- —
- Domain
- Financial Services +1
- Use case
- Evaluation & benchmarking
TextAdvertised
This dataset contains text-based records capturing e-commerce return call scenarios in the United States, framed for retail-focused analysis.
- Language
- English
- Volume
- —
- Domain
- Retail & E-commerce
- Use case
- Evaluation & benchmarking
AudioAdvertised
This dataset contains speech based records capturing financial advisory discussion scenarios in Canada, framed for IT focused analysis.
- Language
- English
- Volume
- —
- Domain
- Financial Services +1
- Use case
- Evaluation & benchmarking
AudioAdvertised
This dataset contains audio recordings capturing fraud investigationdiscussions in Germany.
- Language
- German
- Volume
- —
- Domain
- Financial Services
- Use case
- Evaluation & benchmarking
TextAdvertised
This dataset contains text-based records capturing fraud investigation scenarios in the United Kingdom.
- Language
- English
- Volume
- —
- Domain
- Financial Services
- Use case
- Evaluation & benchmarking
AudioAdvertised
This dataset consists of speech based records capturing human resources interview scenarios in Japan, framed for education focused analysis.
- Language
- Japanese
- Volume
- —
- Domain
- Public Sector & Legal +1
- Use case
- Evaluation & benchmarking
TextAdvertised
This dataset consists of text-based records capturing human resources interview scenarios in the United Arab Emirates, framed for retail-focused analysis.
- Language
- Arabic
- Volume
- —
- Domain
- Retail & E-commerce
- Use case
- Evaluation & benchmarking
TextAdvertised
This dataset consists of text-based records capturing insurance claim call scenarios in Brazil, framed for travel-focused analysis.
- Language
- Portuguese
- Volume
- —
- Domain
- Financial Services +1
- Use case
- Evaluation & benchmarking
TextAdvertised
A multilingual general-domain preference evaluation dataset built from questions in areas such as politics, finance, and society and three AI-generated answers, with…
- Language
- Korean, Hindi +5
- Volume
- —
- Domain
- Consumer & Lifestyle +1
- Use case
- Alignment & RLHF
AudioAdvertised
Four egocentric sessions of a laboratory liquid-transfer procedure — pipetting coloured reagent into a test-tube rack — recorded on a Pico 4 Ultra Enterprise headset and…
- Language
- English
- Volume
- —
- Domain
- Healthcare +2
- Use case
- Evaluation & benchmarking
TextAdvertised
WiserBrand provides a massive, structured dataset of authentic product review data and service-level consumer complaints.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +2
- Use case
- LLM pre-training
TextAdvertised
"This dataset includes consumer-submitted reviews from over 6000 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 495 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 5086 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 462 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 11330 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 5930 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 479 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 9200 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 1162 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 2205 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 421 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 1523 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking
TextAdvertised
"This dataset includes consumer-submitted reviews from over 2995 companies, covering both product- and service-based businesses.
- Language
- —
- Volume
- —
- Domain
- AI & Machine Learning +3
- Use case
- Evaluation & benchmarking