Dataset Viewer
The dataset viewer is not available for this subset.
Job has been terminated due to a temporary spike in resource usage and may be restarted later.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

Circle Behavior SFR 8-Frame Video Dataset

Dataset Description

This dataset contains 310,000 synthetic videos of circle behavior simulations for machine learning research. Each video shows a circle with specific behavioral patterns: Switch color (infinite), Fixed size (20px), Random speed.

Pattern Code: SFR = Switch Color, Fixed Size, Random Speed

Dataset Structure

  • Training videos: 300,000
  • Test videos: 10,000
  • Total videos: 310,000
  • Frames per video: 8
  • Resolution: 256×256 pixels
  • Storage format: HDF5 with MP4-encoded videos
  • Total size: ~2.1GB (train: 2.0GB, test: 69MB)

Sample Visualizations

Video Sequence Examples

Here are sample 8-frame sequences showing the SFR behavior pattern (horizontal temporal progression):

Sample 1 - Color Switch Pattern:

Sample 1 Sequence

Sample 2 - Different Color Transitions:

Sample 2 Sequence

Sample 3 - Varied Movement Patterns:

Sample 3 Sequence

Key Visual Features

  • Color Switching: Colors change unpredictably at different time points
  • Fixed Size: All circles maintain consistent 20-pixel radius
  • Random Speed: Movement velocity varies between videos
  • Bounds Safety: All trajectories stay within frame boundaries

Data Format

The dataset is stored in HDF5 format with the following structure:

  • train.h5: Training data (2.0GB)
  • test.h5: Test data (69MB)

Each video sequence contains 8 frames showing circle behavior with:

  • Color Behavior: Infinite color switching (unpredictable changes)
  • Size Behavior: Fixed at 20 pixels
  • Speed Behavior: Random movement patterns

Usage

Python Usage

import h5py
import numpy as np

# Load training data
with h5py.File('train.h5', 'r') as f:
    videos = f['videos'][:]  # Shape: (300000, 8, 256, 256, 3)
    
# Load test data  
with h5py.File('test.h5', 'r') as f:
    test_videos = f['videos'][:]  # Shape: (10000, 8, 256, 256, 3)

Command Line Download

# Download entire dataset
huggingface-cli download your-username/circle-behavior-sfr-8f-300k \
  --repo-type dataset \
  --local-dir ./circle_behavior_dataset

# Download specific file
huggingface-cli download your-username/circle-behavior-sfr-8f-300k \
  train.h5 \
  --repo-type dataset

Dataset Statistics

Attribute Value
Videos 310,000 total
Resolution 256×256 pixels
Frames/Video 8 frames
Color Behavior Switch (infinite)
Size Behavior Fixed (20px)
Speed Behavior Random
Format HDF5 + MP4
Size 2.1GB

Technical Details

  • Color Space: RGB (0-255)
  • Frame Rate: Variable (physics-based)
  • Compression: MP4 encoding within HDF5
  • Validation: Bounds-safe generation verified
  • Quality: No corrupted frames, all videos validated
Downloads last month
79