Multimodal Instruction Samples: Expert and Peer
Collection
Sample sets: musical instrument instruction by an expert, and peer collaboration on circuit builds. Public and gated; each has a sign-in viewer. • 4 items • Updated
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Multimodal Expert Instruction Samples - Musical Instrument Lessons with Channel-separated Audio and Video
A music teacher and a student work through two one-on-one lessons: both voices and both instruments on separate tracks, the student on camera, with the lesson plans, the instructions given to each side and both sides' post-lesson ratings alongside.
▶ Watch the lessons · See Peer Collaboration samples · Discuss the full collection
Sister collection: Peer Collaboration, two non-experts building circuits under asymmetric information. Compare expert-led instruction with peer collaboration.
In this sample: 6 interactions · 53 minutes · 2 lessons · 1 studio session
Audio: 48 kHz / 32-bit speaker-separated voice tracks and instrument direct inputs · sub −60 dB recording noise floor · RT60 < 90 ms
Video: 1080 × 1920 / 30 fps portrait camera original · continuous view of the student
6K source video: available in the full collection · not included in these samples
What makes this collection different?
- Real expert instruction, not scripted dialogue. A working music teacher teaches a real student; nothing is staged line by line.
- Structured lessons with a check before and after. Lesson plans follow Bloom's mastery-learning framework and Rosenshine's Principles of Instruction: baseline assessment, explanation and demonstration, guided practice with corrective feedback, assessment of improvement.
- Speech, playing and video share one timeline. Separate voices, each instrument's direct input, the camera on the student and the transcripts can be analyzed together.
- Objective-based. Teacher and student each rate objective attainment and how much was learned; the lesson plans and the instructions given to each side are included.
View samples
Choose any part of a lesson to inspect it on one synchronized timeline:
- The student on camera: a continuous portrait view of the student, hands and instrument.
- Four separate tracks: instructor and student voices and each instrument's direct input as waveforms with independent on/off controls.
- Timed transcript: speaker-labeled, machine-generated turns aligned to playback.
- Lesson context: the lesson plan and the instructions given separately to the teacher and the student.
- Outcomes and metadata: both sides' post-lesson ratings, lesson, part, duration, participant information and recording specifications.
Transcripts were generated with nvidia/parakeet-tdt-0.6b-v3 and are not human-reviewed.
The six interactions
| Lesson | Duration | Session |
|---|---|---|
| Diminished chords and their function · pre-lesson check | 1:22 | S020 |
| Diminished chords and their function · lesson | 17:36 | S020 |
| Diminished chords and their function · post-lesson check | 3:24 | S020 |
| Learning "I Want to Tell You" by the Beatles · pre-lesson check | 1:17 | S020 |
| Learning "I Want to Tell You" by the Beatles · lesson | 24:35 | S020 |
| Learning "I Want to Tell You" by the Beatles · post-lesson check | 4:19 | S020 |
One teacher and one student across two lessons; each lesson has a check before, the lesson itself and a check after.
Modalities: Instructor microphone · Student microphone · Instructor instrument direct input · Student instrument direct input · Student camera · Time-aligned transcripts
Annotations: Lesson plans · Instructions given to each side · Post-lesson ratings · Participant profiles
Technical documentation
See TECHNICAL.md for recording formats, camera synchronization, transcript structure, participant profile and rating fields, the complete schema, and loading examples.
Terms
Fluid Concepts provides these recordings solely for evaluation by people who have agreed to these terms on the data page.
- Evaluation only. Use the samples to evaluate the Multimodal Expert Instruction - Musical Instrument Lessons with Channel-separated Audio and Video collection for a possible engagement with Fluid Concepts. Do not use them to train, fine-tune or evaluate a model for any other purpose without written agreement.
- No redistribution. Do not share the files, or derivatives of them, with anyone who has not agreed to these terms on the data page, and do not post them publicly.
- People. The voices and faces belong to paid participants recorded with their consent; the video shows the student. Do not attempt to identify anyone. Participants are identified by studio codes; first names spoken in the sessions are left as recorded.
- No cloning. Do not use the recordings to clone, synthesize or imitate anyone's voice, or to build a digital likeness or avatar of any participant.
- Revocation. Access can be withdrawn at any time. On request, delete all copies.
- No warranty. The samples are provided as they are.
Questions: hello@fluidconcepts.ai
The same text is TERMS.md in this repository (public copy); requesting access is accepting it.
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