datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
macosworld_intelmacos_osworldmacosworld_vmwarefreetoken-macos-deployment
FreeToken macOS MLX Reproducibility Evidence
Machine-readable, redacted evidence for a native macOS Apple-Silicon
deployment of the FreeToken
deployment interface, produced by the companion
chengyixu/freetoken-macos-deployment
kit and validated against its published JSON Schema.
Dataset description
Experiment ID
freetoken-macos-mlx-20260822-001 (immutable)
Recorded
2026-08-22T19:32:23Z
Outcome
Pass — healthy server accepted max_tokens=1, returned… See the full description on the dataset page: https://huggingface.co/datasets/ChengyiX/freetoken-macos-deployment.misc-macos-latest-3.12wrist-front-macos_20260611_172845This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/alimerido/wrist-front-macos_20260611_172845.misc-macos-latest-3.8mlx-serve-macos-15-build-run
mlx-serve on macOS 15.x — build & run package (Qwen3.8-Flash-Next with MTP)
Proven 2026-09-05 on macOS 15.7.7, M2 Max 96 GB, Apple clang 17
(CommandLineTools 16.4, no full Xcode at start) → working
mlx-serve 26.9.1-dev serving Qwen3.8-Flash-Next (qwen4_exp) 4-bit pack
with native MTP at TG 27.43 t/s / PP 29.6 t/s.
Model pack source: https://huggingface.co/ddalcu/Qwen3.8-Flash-Next-MLX-Serve-4bit
mlx-serve upstream: https://github.com/ddalcu/mlx-serve/ (site: mlxserve.com)
This… See the full description on the dataset page: https://huggingface.co/datasets/ljupco/mlx-serve-macos-15-build-run.decodingtrust-macos-qcow2cua-macos-benchmarkmacos-ax-agent-sft
macOS AX-Agent — SFT dataset
1,887 next-action examples for training a text-only accessibility-tree → GUI action model.
Source
Curated from markov-ai/computer-use
(Apache-2.0): successful computer-use agent trajectories on OSWorld tasks, produced by
Gemini 3 Flash with linearized accessibility-tree grounding. Only fully-successful
trajectories (score = 1.0) are included.
Format
Each row is {"messages": [...]} (chat template of… See the full description on the dataset page: https://huggingface.co/datasets/preethamBelweave/macos-ax-agent-sft.wrist-front-macosThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/alimerido/wrist-front-macos.macos-gui-agent-trainmac-os-world-imageswrist-front-macos-newsetup_20260629_234336This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/alimerido/wrist-front-macos-newsetup_20260629_234336.osatlas-macos-imagesmisc-macos-latest-3.10wrist-front-macos_20260611_170817This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"fps": 30,
"features": {
"action": {
"dtype": "float32",
"names": [
"shoulder_pan.pos",
"shoulder_lift.pos",
"elbow_flex.pos",
"wrist_flex.pos",
"wrist_roll.pos",
"gripper.pos"
],
"shape": [
6… See the full description on the dataset page: https://huggingface.co/datasets/alimerido/wrist-front-macos_20260611_170817.osatlas-macos-annotsmacos-cli
Dataset Card for "macos-cli"
More Information needed
universal-macos-torchmac-os-commandsosatlas-macos-annots-filtered-gt2chcmd_linux_macos_other_all
linux command
window command
mac command
# Complete code to fine-tune a T5 model using the provided "all_commands.csv" dataset.
# Task: We define a text-to-text task where the input is a prompt like "Describe the command: {name} in {source}"
# and the target output is the description.
# This turns the model into a command description generator/query tool.
#
# Prerequisites:
# - Install required libraries: pip install transformers datasets torch sentencepiece
#… See the full description on the dataset page: https://huggingface.co/datasets/ankitkushwaha90/cmd_linux_macos_other_all.macos-semantic-router-dataset
macOS Semantic Router Dataset
A high-quality synthetic routing dataset for fine-tuning small language models
to select the correct macOS tool for a given user request.
Inspired by nuhmanpk/semantic-router-dataset,
this version focuses entirely on macOS-native tasks — opening apps, controlling
system settings, managing files, network, media, and more.
Dataset Structure
Column
Description
conversations
System prompt (router + tool list) → user request →… See the full description on the dataset page: https://huggingface.co/datasets/nuhmanpk/macos-semantic-router-dataset.decodingtrust-macos-filesmacos.llama.cppmacososatlas-macos-annots-filteredmacos-cli
Dataset Card for "macos-cli"
More Information needed