datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
MAESTROCaps
MAESTROCaps
MAESTROCaps contains 148 analyzed piano piece-recordings. Dataset package IDs are
consecutive from 001 through 148, ordered alphabetically by piece_key (composer, then
composition). Each metadata.json retains the prior ID as source_catalog_id, and
id-map.json records the complete mapping. Each directory under data/
contains the existing artifacts available for that record:
original, annotated, and cleaned score XML files, plus existing score PDFs;
existing… See the full description on the dataset page: https://huggingface.co/datasets/bryel-labs/MAESTROCaps.maestro-v3.0.0-preprocessedmaestromaestro-v3.0.0
Maestro Dataset v3.0.0
Mirror copy as of 08/03/2025
MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) is a dataset composed of about 200 hours of virtuosic piano performances captured with fine alignment (~3 ms) between note labels and audio waveforms.
Source download Maestro Dataset v3.0.0
Citation
@inproceedings{
hawthorne2018enabling,
title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO}… See the full description on the dataset page: https://huggingface.co/datasets/projectlosangeles/maestro-v3.0.0.maestro-v3.0.0maestro_synth
Dataset Card for "maestro_synth"
More Information needed
MAESTRO-v3.0-FLACmaestro-unidac4-ytsv
MAESTRO + ASAP audio and MIDI tokens (U-MusT)
Tokenized MAESTRO v3.0.0 for
U-MusT: DAC audio tokens and MT3-style MIDI event arrays,
covering roughly 199 hours of Disklavier-captured piano performance with precisely aligned MIDI.
This repository also contains ASAP-derived data. lmx/ and asap_note_events/ come from the
ASAP dataset, whose audio is itself MAESTRO. Both
carry the same license, so nothing conflicts, but the repository name mentions only one of the two
corpora it… See the full description on the dataset page: https://huggingface.co/datasets/malerlab/maestro-unidac4-ytsv.maestro-v3.0.0-preprocessed-with-pedal-2MAESTRO-E
Viewer note: default uses viewer_preview/ for responsive audio playback.
Full training/evaluation files remain available in the original folder structure.
MAESTRO-E
MAESTRO-E dataset for music practice error detection with paired performance/reference inputs and note-level error labels.
Paired Inputs for Error Detection
The model takes paired inputs:
mistake: performance audio/MIDI containing musical errors
score: paired reference score audio/MIDI (target/correct… See the full description on the dataset page: https://huggingface.co/datasets/ben2002chou/MAESTRO-E.maestro
Dataset Card for "maestro"
More Information needed
maestro-romanticmaestro-v3.0.0-preprocessed-with-pedalmaestro-mas-benchmark
MAESTRO MAS Benchmark Dataset
maestro-mas-benchmark is a dataset derived from MAESTRO, a framework-agnostic evaluation suite for LLM-based
multi-agent systems (MAS). It provides a systems-level view of MAS behavior and is designed to benchmark,
observe, and analyze MAS performance and behavior across diverse scenarios.
For more details about MAESTRO, visit the GitHub repository.
Dataset details
The dataset currently includes data for 12 different MAS systems… See the full description on the dataset page: https://huggingface.co/datasets/kaust-generative-ai/maestro-mas-benchmark.adaptive-dice-maestro-dataset-mergedmaestro-classicalmaestro-modernMaestro20hmaestro-preprocessed
Dataset Card for "maestro-preprocessed"
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maestro_extract_unit
Dataset Card for "maestro_extract_unit"
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suayptalha__Maestro-10B-details
Dataset Card for Evaluation run of suayptalha/Maestro-10B
Dataset automatically created during the evaluation run of model suayptalha/Maestro-10B
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/suayptalha__Maestro-10B-details.maestromaestro-sustain-v2
Dataset Card for "maestro-sustain-v2"
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MAESTRO-test
Mirror of the test set of MAESTRO V.3.0.0 dataset with midi and audio columns for midi file and audio in FLAC
Citation
If you use this dataset, please cite the original paper:
@inproceedings{
hawthorne2018enabling,
title={Enabling Factorized Piano Music Modeling and Generation with the {MAESTRO} Dataset},
author={Curtis Hawthorne and Andriy Stasyuk and Adam Roberts and Ian Simon and Cheng-Zhi Anna Huang and Sander Dieleman and Erich Elsen and Jesse Engel and… See the full description on the dataset page: https://huggingface.co/datasets/B-K/MAESTRO-test.arcee-ai__Arcee-Maestro-7B-Preview-details
Dataset Card for Evaluation run of arcee-ai/Arcee-Maestro-7B-Preview
Dataset automatically created during the evaluation run of model arcee-ai/Arcee-Maestro-7B-Preview
The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/arcee-ai__Arcee-Maestro-7B-Preview-details.hermes-function-calling-v1
Hermes Function-Calling V1
This dataset is the compilation of structured output and function calling data used in the Hermes 2 Pro series of models.
This repository contains a structured output dataset with function-calling conversations, json-mode, agentic json-mode and structured extraction samples, designed to train LLM models in performing function calls and returning structured output based on natural language instructions. The dataset features various conversational… See the full description on the dataset page: https://huggingface.co/datasets/Maestro502/hermes-function-calling-v1.maestro-spectrogramsMARBLEBeatTracking_ASAP_MAESTROmaestro-rollingsplit
Dataset Card for "maestro-rollingsplit"
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maestro-v1
Dataset Card for "maestro-v1"
More Information needed