MACE
Datasets
All datasets matching “MACE”MACE_finetuning_supplementary
MACE Fine-Tuning Supplementary
Supplementary data and scripts for:
Tompa, T. L.; Varga-Umbrich, E.; Batatia, I.; Elena, A. M.; Bernstein, N.; Csányi, G. Fine-tuning MLIP foundation models: strategies for accuracy and transferability (2026). arXiv:2606.12704.
The repository contains training datasets, mace_run_train launch scripts, Slurm logs, fine-tuned model checkpoints (.model), evaluation scripts, and processed results for the paper. Benchmark systems: lithium argyrodite… See the full description on the dataset page: https://huggingface.co/datasets/ev-tlt/MACE_finetuning_supplementary.macedonian-llm-eval
Macedonian LLM Eval
This repository is adapted from the original work by Aleksa Gordić. If you find this work useful, please consider citing or acknowledging the original source.
You can find the Macedonian LLM eval on GitHub. To run evaluation just follow the guide.
Info: You can run the evaluation for Serbian and Slovenian as well, just swap Macedonian with either one of them.
What is currently covered:
Common sense reasoning: Hellaswag, Winogrande, PIQA… See the full description on the dataset page: https://huggingface.co/datasets/LVSTCK/macedonian-llm-eval.MacedonianTweetSentimentClassification
MacedonianTweetSentimentClassification
An MTEB dataset
Massive Text Embedding Benchmark
An Macedonian dataset for tweet sentiment classification.
Task category
t2c
Domains
Social, Written
Reference
https://aclanthology.org/R15-1034/
How to evaluate on this task
You can evaluate an embedding model on this dataset using the following code:
import mteb
task = mteb.get_tasks(["MacedonianTweetSentimentClassification"])
evaluator = mteb.MTEB(task)
model =… See the full description on the dataset page: https://huggingface.co/datasets/mteb/MacedonianTweetSentimentClassification.Muon-MACE-data
Muon-MACE: selection inputs, benchmark results and figure data
Data companion to Muon-MACE, a
MACE research implementation with hybrid Muon–Adam optimization.
This repository contains 52 individually accessible data files (220,102,043 bytes).
Browse a table, download an array or clone the directory tree; no ZIP extraction
is needed. Code, configurations and plotting programs live on GitHub.
中文指南 · File catalog ·
Checksums and download mapping · Data dictionary
Find… See the full description on the dataset page: https://huggingface.co/datasets/shiqiao123/Muon-MACE-data.MACE
MACE Dataset
Dataset for paper "Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers".
MACE-Dance
🎵 MACE-Dance Dataset
MACE-Dance is a large-scale dataset for music-driven dance video generation, released with our SIGGRAPH 2026 paper:
MACE-Dance: Motion-Appearance Cascaded Experts for Music-Driven Dance Video Generation
It is designed to support research on generating dance videos that are both:
🕺 kinematically plausible
🎨 visually coherent
🎼 well aligned with music
✨ Overview
The dataset contains approximately:
70K dance video clips
5–10 seconds per… See the full description on the dataset page: https://huggingface.co/datasets/GD-ML/MACE-Dance.