🎬 Upload circle behavior SFR 8-frame video dataset

- 300k training videos + 10k test videos
- 8 frames per video, 256x256 resolution
- HDF5 format with MP4 encoding (~2.1GB total)
- Color Switch (infinite), Size Fixed (20px), Speed Random
- Generated with unified circle dataset generator

Dataset for video representation learning research.

README.md

@@ -1,3 +1,123 @@
----
-license: mit
----
+---
+license: mit
+task_categories:
+- video-classification
+- other
+language:
+- en
+tags:
+- synthetic-data
+- video
+- circle-behavior
+- physics-simulation
+- machine-learning
+- videomae
+- representation-learning
+size_categories:
+- 100K<n<1M
+pretty_name: Circle Behavior SFR 8-Frame Dataset
+---
+
+# 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: **S**witch color (infinite), **F**ixed size (20px), **R**andom speed.
+
+**Pattern Code**: SFR = **S**witch Color, **F**ixed Size, **R**andom 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_00_sequence.jpg)
+
+**Sample 2 - Different Color Transitions:**
+
+![Sample 2 Sequence](sample_01_sequence.jpg)
+
+**Sample 3 - Varied Movement Patterns:**
+
+![Sample 3 Sequence](sample_02_sequence.jpg)
+
+### 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
+```python
+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
+```bash
+# 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

test.h5

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+size 71365780

train.h5

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+oid sha256:4c7bb80a481a57edaaf6ddc6cc21927ebb2801e46358ad62f83b1e4c81fc2741
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