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meeting_id
string
abstractive
dict
participants_summary
dict
topics
list
key_speakers
list
utterance
list
ES2002a
{ "abstract": [ "The project manager introduced the upcoming project to the team members and then the team members participated in an exercise in which they drew their favorite animal and discussed what they liked about the animal.", "The project manager talked about the project finances and selling prices.",...
{ "A": { "abstract": [ "Meeting was called to kick-off the TV remote control project.", "A brief was given on the aims, budget and team for the project and product.", "The team consists of Laura (Project Manager), Creg (User-Interface Designer), Andrew (Marketing) and myself (David Industrial De...
[ "introduction of participants and their roles", "project goals and design process", "drawing animals on the whiteboard", "possible issues with project goals", "initial ideas about RC design" ]
[ { "speaker_id": "A", "speech": "Hi, I'm David and I'm supposed to be an industrial designer. Um, I just got the project announcement about what the project is. Designing a remote control. That's about it, didn't get anything else. Did you get the same thing? Cool. There's too much gear. Okay. Can't draw. Um...
[ { "speaker": "B", "start_time": 50.163, "end_time": 51.198, "text": "Okay." }, { "speaker": "B", "start_time": 53.487, "end_time": 54.269, "text": "Right." }, { "speaker": "B", "start_time": 55.415, "end_time": 77.456, "text": "Um well this is the kick-off mee...
ES2002b
{ "abstract": [ "The project manager briefed the team on some new requirements to consider when designing the remote.", "The user interface designer presented two existing products and discussed what was wrong with each product.", "The team discussed how to create a remote which did not include the proble...
{ "A": { "abstract": [ "Defined the basic functionality of the device and briefed the others on the individual team memebrs roles." ], "actions": [ "A.. Industrial Designer - Refine working design, specify components based on requirements (too little info to proceed yet), research on voice rec...
[ "decisions on functional design" ]
[ { "speaker_id": "A", "speech": "Mm yeah. Nope, we're all set. Which which is the clunky one, the one on left or on the right?.. Okay. No. I'll add it later, I guess the presentation. No. No. Um function F_ eight. Function, the blue button. Next to the control on the left. Yeah. You have to push it together....
[ { "speaker": "B", "start_time": 14.427, "end_time": 15.758, "text": "Is that alright now?" }, { "speaker": "B", "start_time": 16.942, "end_time": 17.978, "text": "Okay." }, { "speaker": "B", "start_time": 19.463, "end_time": 20.523, "text": "Sorry?" }, { ...
ES2002c
{"abstract":["The project manager recapped the decisions made in the previous meeting.","The marketi(...TRUNCATED)
{"A":{"abstract":["Discussed the overall design and look and feel of the remote control.","Gather co(...TRUNCATED)
[ "industrial design presentation", "decisions on conceptual design" ]
[{"speaker_id":"A","speech":"'S to do now is to decide how to fulfil what your stuff is, so in that (...TRUNCATED)
[{"speaker":"A","start_time":0.0,"end_time":8.837,"text":"'S to do now is to decide how to fulfil wh(...TRUNCATED)
ES2002d
{"abstract":["The project manager recapped the decisions made in the previous meeting and two team m(...TRUNCATED)
{"A":{"abstract":["Summary meeting to find a consesus on the final product design and evaluate the p(...TRUNCATED)
[ "presentation of prototype", "evaluation of prototype", "evaluation of project" ]
[{"speaker_id":"A","speech":"No. Ninja Homer, made in Japan. And there isn't uh d it doesn't open up(...TRUNCATED)
[{"speaker":"B","start_time":2.41,"end_time":30.51,"text":"Okay we all all set? Right. Well this is (...TRUNCATED)
ES2003a
{"abstract":["The team members introduced themselves to each other by name and by their roles in the(...TRUNCATED)
{"A":{"abstract":["The meeting served to introduce the team members to one another and throw up some(...TRUNCATED)
[ "participant names" ]
[{"speaker_id":"A","speech":"Uh, Dave Cochrane. User Interface Defin Designer, yes. Um Um, the monke(...TRUNCATED)
[{"speaker":"B","start_time":1.44,"end_time":13.312,"text":"Okay, well I think we're ready to begin.(...TRUNCATED)
ES2003b
{"abstract":["The project manager recapped the events of the previous meeting and briefed the team o(...TRUNCATED)
{"A":{"abstract":["This meeting fleshed out our exact design goals for this project, stating precise(...TRUNCATED)
[]
[{"speaker_id":"A","speech":"Mm. Okay. Yeah, it's in the it's in the folder yeah. Mm. Okay, this is (...TRUNCATED)
[{"speaker":"C","start_time":4.304,"end_time":6.752,"text":"Just put it on the deskt desktop."},{"sp(...TRUNCATED)
ES2003c
{"abstract":["The project manager recapped the decisions made in the previous meeting.","The industr(...TRUNCATED)
{"A":{"abstract":["This meeting laid out the look, feel, layout and function of the remote, going fr(...TRUNCATED)
[]
[{"speaker_id":"A","speech":"Yeah, that's me. Mm. There's also a watch moves around a great deal mor(...TRUNCATED)
[{"speaker":"B","start_time":10.128,"end_time":35.28,"text":"Alright, yeah. crack on. Okay so we'll (...TRUNCATED)
ES2003d
{"abstract":["The project manager recapped the decisions made in the previous meeting and two team m(...TRUNCATED)
{"A":{"abstract":["We demonstrated our prototype and discussed what could be sarcificed to bring the(...TRUNCATED)
[]
[{"speaker_id":"A","speech":"Okay, it's a I think if we both step up and uh outline our ideas. Okay.(...TRUNCATED)
[{"speaker":"B","start_time":0.0,"end_time":4.414,"text":"That should hopefully do the trick, um."},(...TRUNCATED)
ES2004a
{"abstract":["The Project Manager gave an introduction to the goal of the project, to create a trend(...TRUNCATED)
{"A":{"abstract":[],"actions":[],"decisions":[],"problems":[]},"B":{"abstract":["This was the first (...TRUNCATED)
[]
[{"speaker_id":"A","speech":"Hmm hmm hmm. Yeah. Okay. Yep, yep. Okay. Tu tu tu tu Hi, good morning. (...TRUNCATED)
[{"speaker":"A","start_time":0.0,"end_time":1.792,"text":"Hmm hmm hmm."},{"speaker":"B","start_time"(...TRUNCATED)
ES2004b
{"abstract":["The Industrial Designer gave his presentation on the basic functions of the remote.","(...TRUNCATED)
{"A":{"abstract":[],"actions":[],"decisions":[],"problems":[]},"B":{"abstract":["This was our second(...TRUNCATED)
[]
[{"speaker_id":"A","speech":"Mm-hmm. Sorry. Yep. Okay. Yep. 'Kay. It can be okay, that's okay with m(...TRUNCATED)
[{"speaker":"B","start_time":0.0,"end_time":5.143,"text":"Help."},{"speaker":"B","start_time":8.164,(...TRUNCATED)
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Dataset Card for AMI_annotation

Dataset Details

Dataset Description

AMI_annotation is a structurally parsed and annotated multi-modal meeting corpus derived from the AMI Meeting Corpus manual annotations. It features detailed meeting-level metadata, abstractive meeting summaries, individual participant summaries mapped by roles/speakers, segmented timestamps, speaker-specific text transcriptions, integrated Named Entity Recognition (NER), and discussion topic vectors.

  • Curated by: Rabindra Nath Nandi
  • Language(s) (NLP): English
  • License: [More Information Needed]

Dataset Structure

Data Instances

Each row in the dataset represents a unique meeting instance indexed by its meeting_id.

Data Fields

  • meeting_id (string): Unique identifier for the meeting session (e.g., ES2002a).
  • abstractive (struct): Meeting-level abstractive summaries containing:
    • abstract (list of strings): High-level meeting summary sentences.
    • actions (list of strings): Stated action items and directives.
    • decisions (list of strings): Concluded decisions made by the team.
    • problems (list of strings): Open issues or problems discussed.
  • participants_summary (struct): Role-specific summaries for participants (A, B, C, D), tracking individual perspectives on abstract, actions, decisions, and problems.
  • topics (list of strings): Chronological meeting agenda and discussion topics.
  • key_speakers (list): Speaker profile records containing:
    • speaker_id (string): Identifier code for the speaker.
    • speech (string): Consolidated full-text monologue or contributions.
    • name_entities (list): Extracted entities mapped to types (text, type).
  • utterance (list): Time-aligned utterance blocks containing:
    • speaker (string): Speaker label.
    • start_time (float64): Utterance start timestamp in seconds.
    • end_time (float64): Utterance end timestamp in seconds.
    • text (string): Transcribed text segment.

Uses

Direct Use

Designed for training and evaluating Audio Large Language Models (AudioLLMs), automatic meeting summarization, multi-party dialogue analysis, and named entity recognition tasks.

Dataset Creation

Curation Rationale

Processed using automated XML parsers to structure legacy AMI corpus annotations into clean, standardized JSON table rows compatible with the Hugging Face datasets ecosystem.

Bias, Risks, and Limitations

Corpus reflects natural multi-party meeting dynamics, containing colloquial speech patterns, interruptions, and subjective participant summaries.

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