Meeting Recordings
Start training, fine-tuning, or testing your meeting understanding, speech-to-text, summarization, or AI collaboration models with this dataset of corporate meeting recordings. The data includes interviews, 1:1s, standups, and other meeting types across industries such as legal, marketing, finance, and engineering. Each recording includes video, audio, transcripts, metadata, action items, and recaps, making it well suited for AI training.
Start training, fine-tuning, or testing your meeting understanding, speech-to-text, summarization, or AI collaboration models with this dataset of corporate meeting recordings. The data includes interviews, 1:1s, standups, and other meeting types across industries such as legal, marketing, finance, and engineering. Each recording includes video, audio, transcripts, metadata, action items, and recaps, making it well suited for AI training.
Start training, fine-tuning, or testing your meeting understanding, speech-to-text, summarization, or AI collaboration models with this dataset of corporate meeting recordings. The data includes interviews, 1:1s, standups, and other meeting types across industries such as legal, marketing, finance, and engineering. Each recording includes video, audio, transcripts, metadata, action items, and recaps, making it well suited for AI training.
Start training, fine-tuning, or testing your meeting understanding, speech-to-text, summarization, or AI collaboration models with this dataset of corporate meeting recordings. The data includes interviews, 1:1s, standups, and other meeting types across industries such as legal, marketing, finance, and engineering. Each recording includes video, audio, transcripts, metadata, action items, and recaps, making it well suited for AI training.
Dataset specs
Type
Video
Content type
Meeting
Region/Locale
EN
Amount
99.5K hours
Leverage
Develop AI models that can automatically generate concise summaries of meetings, capturing key points, decisions, and action items.
Use cases
Implement sentiment analysis to gauge the emotional tone and mood of meetings, identifying potential issues or positive trends.
Train and evaluate multimodal deepfake detection models by learning authentic audiovisual patterns, speaker consistency, and cross-modal alignment.
Train AI systems to accurately identify and differentiate between speakers in a meeting, even in overlapping conversation.
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Dataset specs
Type
Video
Content type
Meeting
Region/Locale
EN
Amount
99.5K hours