Viewer Engagement Dataset — 25M Hours of TV and Streaming Attention Data
Measure and model human engagement at unprecedented scale. This large‑scale longitudinal TV viewership dataset contains second‑by‑second attention signals from over 25 million hours of data, covering a comprehensive range of video experiences across the television ecosystem. Coverage includes audience attention AI data for more than 200 linear TV channels, all major SVOD and AVOD original programming, selective streaming content and television commercials. Use this AI training dataset is designed to support analysis of attention dynamics, engagement patterns and temporal response to content, enabling robust modeling across genres, formats and platforms.
Measure and model human engagement at unprecedented scale. This large‑scale longitudinal TV viewership dataset contains second‑by‑second attention signals from over 25 million hours of data, covering a comprehensive range of video experiences across the television ecosystem. Coverage includes audience attention AI data for more than 200 linear TV channels, all major SVOD and AVOD original programming, selective streaming content and television commercials. Use this AI training dataset is designed to support analysis of attention dynamics, engagement patterns and temporal response to content, enabling robust modeling across genres, formats and platforms.
Measure and model human engagement at unprecedented scale. This large‑scale longitudinal TV viewership dataset contains second‑by‑second attention signals from over 25 million hours of data, covering a comprehensive range of video experiences across the television ecosystem. Coverage includes audience attention AI data for more than 200 linear TV channels, all major SVOD and AVOD original programming, selective streaming content and television commercials. Use this AI training dataset is designed to support analysis of attention dynamics, engagement patterns and temporal response to content, enabling robust modeling across genres, formats and platforms.
Measure and model human engagement at unprecedented scale. This large‑scale longitudinal TV viewership dataset contains second‑by‑second attention signals from over 25 million hours of data, covering a comprehensive range of video experiences across the television ecosystem. Coverage includes audience attention AI data for more than 200 linear TV channels, all major SVOD and AVOD original programming, selective streaming content and television commercials. Use this AI training dataset is designed to support analysis of attention dynamics, engagement patterns and temporal response to content, enabling robust modeling across genres, formats and platforms.
Dataset specs
Type
Text
File format
json
Region/Locale
EN
Amount
25M hours
Leverage
Drive insight into viewer behavior by turning second‑by‑second attention data into a clearer picture of engagement, responsiveness, and sustained interest across television and streaming audience data.
Use cases
Train machine learning models on this video engagement analytics dataset to predict, analyze and simulate human attention for improved understanding of drop‑off, re‑engagement and sustained viewing behavior over time.
Use this AI training data to evaluate the effectiveness of television content and advertisements by analyzing second‑by‑second attention patterns.
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Dataset specs
Type
Text
File format
json
Region/Locale
EN
Amount
25M hours