ygo
Datasets
All datasets matching “ygo”midi-classical-music
MIDI Classical Music
This dataset contains a comprehensive collection of MIDI files representing classical music compositions from various renowned composers.
The collection includes works from composers such as Bach, Beethoven, Chopin, Mozart, and many others.
The dataset is organized into directories by composer, with each directory containing MIDI files of their compositions.
The dataset is ideal for music analysis, machine learning models for music generation, and other… See the full description on the dataset page: https://huggingface.co/datasets/ygonet/midi-classical-music.ygoprodeck-datasetedumirror-repro-results
EduMirror reproduction — outputs bundle
Full artifacts for the independent reproduction of EduMirror (ICML 2026, arXiv:2606.07948, OpenReview 9CPlmQzUtF).
Layout
figures/ — every figure in the logbook (PNG)
results/ — raw per-job outputs, exactly as the HF Jobs produced them:
judgecheck/, judgecheck_72b/ — judge validity probes (32B fails, 72B passes)
claim2_72b/ — kindergarten scalability, 45 episodes, validated 72B judge
claim3/ — dual measurement + RSES… See the full description on the dataset page: https://huggingface.co/datasets/ygoldi/edumirror-repro-results.movie-quotesedumirror-repro-code
Reproducing EduMirror (ICML 2026)
An independent reproduction of EduMirror: Modeling Educational Social Dynamics with Value-driven Multi-agent Simulation (arXiv:2606.07948, ICML 2026, OpenReview 9CPlmQzUtF).
Part of the Hugging Face / AlphaXiv ICML 2026 reproduction challenge.
Status: no official code exists
The paper releases no implementation. Its only GitHub link (Jordine/jag-concordia) is a citation for the JAG-Concordia baseline, not for EduMirror. Everything… See the full description on the dataset page: https://huggingface.co/datasets/ygoldi/edumirror-repro-code.tw-2008-ygo-dataset
DRAW (which stands for Detect and Recognize A Wild range of cards) is the very first object detector
trained to detect Yu-Gi-Oh! cards in all types of images, and in particular in dueling images.
Other works exist (see Related Works) but none is capable of recognizing cards during a duel.
DRAW is entirely open source and all contributions are welcome.
📄Documentation
Install
Both a docker installation and a more conventional installation are… See the full description on the dataset page: https://huggingface.co/datasets/HichTala/tw-2008-ygo-dataset.