Datasets:

konpat
/

circle-behavior-sfr-8f-300k

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 64, in _split_generators
                  with h5py.File(first_file, "r") as h5:
                       ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/h5py/_hl/files.py", line 564, in __init__
                  fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/h5py/_hl/files.py", line 238, in make_fid
                  fid = h5f.open(name, flags, fapl=fapl)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "h5py/_objects.pyx", line 56, in h5py._objects.with_phil.wrapper
                File "h5py/_objects.pyx", line 57, in h5py._objects.with_phil.wrapper
                File "h5py/h5f.pyx", line 102, in h5py.h5f.open
              FileNotFoundError: [Errno 2] Unable to synchronously open file (unable to open file: name = 'hf://datasets/konpat/circle-behavior-sfr-8f-300k@5c9735590906fc089c048d84d5ec625ff4e67a28/train.h5', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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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 2 - Different Color Transitions:

Sample 3 - Varied Movement Patterns:

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

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