datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
tutorial_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 9758,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/y0-0n/tutorial_v2.tutorial_v2This dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 9758,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/Jeongeun/tutorial_v2.muon-tutorial
Understanding the Muon Optimizer: Theory and Implementation
📘 Contents
Try It Yourself -- base and advanced implementions
Introduction to Muon
The Problem: Skewed Singular Values
Newton-Schulz Orthogonalization
Muon vs. AdamW
When to Use Muon
Implementation Details
Practical Performance Analysis
Optimization Techniques
Lessons Learned
Concludsion
Extended Work
🧪 Try It Yourself
The included Colab notebook allows you to run all experiments and implement Muon… See the full description on the dataset page: https://huggingface.co/datasets/bird-of-paradise/muon-tutorial.tutorialsbut-they-are-cats-tutorial
Dataset Card for But They Are Cats Tutorials
This dataset is presented and used in Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment.
Dataset Details
The dataset is designed for Visual Question answering. It is composed of game screenshots, questions, and answers.
The questions and the answers are direct to provide a more effective evaluation independent of the syntax.
Question: "Do distractions affect the cats in the same way?" Answer: "The… See the full description on the dataset page: https://huggingface.co/datasets/DarthReca/but-they-are-cats-tutorial.tutorial-senegal-lcluc20250524_buildwithai_tutorial_280pxtutorial_vla_datasetThis dataset was created using LeRobot.
Dataset Structure
meta/info.json:
{
"codebase_version": "v3.0",
"robot_type": "omy",
"total_episodes": 50,
"total_frames": 9758,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 20,
"splits": {
"train": "0:50"
},
"data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"video_path":… See the full description on the dataset page: https://huggingface.co/datasets/csharon/tutorial_vla_dataset.tutorial-imagesSlime_Tutorial_Beetlejuice_Lycorisobject-detection-tutorial
Object Detection Tutorial Dataset
Dataset Description
This dataset contains object detection annotations and predictions used in the cleanlab tutorial: Object Detection.
The dataset demonstrates how to use cleanlab to identify and correct label issues in object detection datasets, where labels consist of bounding boxes around objects in images.
Dataset Summary
Total Examples: 118 images with bounding box annotations
Task: Object detection with bounding boxes… See the full description on the dataset page: https://huggingface.co/datasets/Cleanlab/object-detection-tutorial.20250524_buildwithai_tutorial_280px20250524_buildwithai_tutorial_280pxrecons_original_tutorial20250524_buildwithai_tutorial_280pxtutorial-senegal-lcluccontrolnet-tutorialbasketball_holder_lens_tutorialtutorial2tutorial3tutorial20250524_buildwithai_tutorial_280px20250524_buildwithai_tutorial_280pxatomistic-simulation-tutorialTDA-tutorial20250524_buildwithai_tutorial_280px20250524_buildwithai_tutorial_280px20250524_buildwithai_tutorial_280px20250524_buildwithai_tutorialseg-studio-tutorials
Seg-Studio Tutorials
Tutorial assets (sample images and walkthrough material) for
Seg-Studio, an open-source
segmentation training and annotation tool.
Licensed under Apache-2.0, same as the main project.