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ガイドを見る →// ai-music · asigalov61/Tegridy-MIDI-Dataset
Tegridy-MIDI-Dataset
Tegridy-MIDI-Datasetは、asigalov61が公開しているオープンソースのAI音楽プロジェクトです（GitHub: asigalov61/Tegridy-MIDI-Dataset）。GitHubスターは296、フォークは21で、Apache-2.0ライセンスの下で公開されています。GitHubでの最終更新は2026年9月21日です。
A curated MIDI dataset built for training precise music AI models.
💎 隠れた名作★ 296 スター⑂ 21 フォークApache-2.0更新 2026年9月
▦ ビジュアル — このプロジェクトのREADMEには埋め込み可能なスクリーンショットがないため、
ここではプレースホルダーを表示しています。下のガイド自体は完全な内容です。
ここではプレースホルダーを表示しています。下のガイド自体は完全な内容です。
// プロジェクトの基本情報
プロジェクト基本情報
// 仕組み
仕組み
- Browse the repo
Check the README for what the dataset contains and its structure.
- Download the data
Grab the MIDI files or clone the full repository.
- Prepare with the tools
Use the included converters and parsers to format MIDI for training.
- Train your model
Feed the prepared data into your music AI training pipeline.
// 機能
選ばれる理由
Curated MIDI files
A dataset assembled specifically for music AI work.
Multi-track data
Multi-track MIDIs for richer model training.
MIDI converter
Tools to convert MIDI formats for your pipeline.
MIDI parser
Parse and inspect MIDI files in Python.
Karaoke-ready
Includes karaoke-style MIDI content.
Music AI focused
Designed for composition and generation models.
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// 自分で実行
自分で実行してみる
- Step 1 — Clone the repo
Download the dataset and its tools.
git clone https://github.com/asigalov61/Tegridy-MIDI-Dataset.git cd Tegridy-MIDI-Dataset - Step 2 — Install Python deps
Set up the environment for the MIDI utilities.
pip install -r requirements.txt - Step 3 — Explore the data
List the MIDI files and try the parser tools.
ls | head -20
// 活用例
作れるもの
- Train a music generation model on structured MIDI data.
- Build a karaoke or music-analysis AI prototype.
- Parse multi-track MIDIs for research experiments.
- Benchmark composition models on curated MIDI content.
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// よくある質問
よくある質問
What is the Tegridy MIDI Dataset?
A curated MIDI dataset for creating precise music AI models, maintained at asigalov61/Tegridy-MIDI-Dataset.
Is it free to use?
Yes. It is Apache-2.0 licensed.
What formats are included?
MIDI files, including multi-track and karaoke-style content, plus conversion tools.
Do I need special hardware to use it?
No. It is data plus Python utilities; training models is the compute-heavy part.
Who is it for?
Researchers and builders training music composition or generation models.
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