Meeting Summarization

QMSum is a new human-annotated benchmark for query-based multi-domain meeting summarisation task, which consists of 1,808 query-summary pairs over 232 meetings in multiple domains.

MeetingBank, a benchmark dataset created from the city councils of 6 major U.S. cities to supplement existing datasets. It contains 1,366 meetings with over 3,579 hours of video, as well as transcripts, PDF documents of meeting minutes, agenda, and other metadata. On average, a council meeting is 2.6 hours long and its transcript contains over 28k tokens, making it a valuable testbed for meeting summarizers and for extracting structure from meeting videos. The datasets contains 6,892 segment-level summarization instances for training and evaluating of performance.

The AMI Meeting Corpus is a multi-modal data set comprising 100 hours of meeting recordings. It has been meticulously curated for research purposes and includes various modes of data capture. Let me provide you with more details: 1. Purpose and Context: - The corpus was created in the context of a project that aims to develop meeting browsing technology. - Eventually, it will be publicly released for use by researchers and practitioners. 2. Data Composition: - 100 hours of recorded meetings are included. - The data is collected from various domains and scenarios. - Around two-thirds of the data involves participants playing different roles in a design team, taking a design project from kick-off to completion over the course of a day. - The remaining data consists of naturally occurring meetings. 3. Modalities and Annotations: - The corpus includes synchronized recording devices such as close-talking and far-field microphones, individual and room-view video cameras, projection, a whiteboard, and individual pens. - Annotations cover various phenomena, including orthographic transcription, dialog acts, and head movement. 4. Research Applications: - Although initially designed for meeting browsing technology, the AMI Meeting Corpus is useful for a wide range of research areas. - Researchers engaged in video processing can access higher resolution videos. Source: Conversation with Bing, 3/16/2024 (1) AMI Corpus - University of Edinburgh. https://groups.inf.ed.ac.uk/ami/corpus/. (2) The AMI Meeting Corpus: A Pre-announcement. https://www.research.ed.ac.uk/en/publications/the-ami-meeting-corpus-a-pre-announcement. (3) The AMI Meeting Corpus: A Pre-announcement | SpringerLink. https://link.springer.com/chapter/10.1007/11677482_3. (4) The AMI Meeting Corpus: A Pre-announcement — University of Twente .... https://research.utwente.nl/en/publications/the-ami-meeting-corpus-a-pre-announcement.

ICSI Meeting Corpus in JSON format.

ELITR Minuting Corpus in JSON format.

The public_meetings corpus contains meetings, made of pairs of automatic transcriptions from audio recordings and meeting reports written by a professional. 22 aligned meetings are provided in total. Source: public_meetings