Skip to content

MAESTRO v3.0.0 pretraining corpus and custom 4,320-recording student dataset

Product or Programme · All products and programmes
Evidence · no claims cited

Description

The MAESTRO corpus is a public collection of MIDI-aligned solo-piano performances, while Zhu et al. created the accompanying 4,320-recording annotated student-performance repository for training and evaluating an adaptive instrumental-practice system.

Components

Claims

Key Sources

  • Zhu Z, Luo C and Li L (2026) Adaptive teaching assistance model combining generative AI and big data analytics. Front. Psychol. 17:1844703. https://doi.org/10.3389/fpsyg.2026.1844703
Page metadata
Field Value
type product
id maestro-v300-pretraining-corpus-and-custom-4320-recording-student-dataset
title MAESTRO v3.0.0 pretraining corpus and custom 4,320-recording student dataset
description The MAESTRO corpus is a public collection of MIDI-aligned solo-piano performances, while Zhu et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.