Webra provides a real-time sentiment dataset derived directly from YouTube comments. Each entry includes the raw comment text, metadata, timestamps, like counts, and a sentiment score standardized to a -1 to 1 scale. Aggregated sentiment and volume time series are also included for each tracked topic. Additional contextual items such as news snippets and transcripts are collected, but only YouTube comments contribute to the sentiment signals.