Generates synthetic datasets for training and evaluating vision models on pattern recognition and sequential reasoning tasks. Each sample contains a large-small alternating size sequence where the next figure must be selected from multiple choices.
Each sample pairs a task (first frame + prompt describing what needs to happen) with its ground truth solution (final frame showing the result + video demonstrating how to achieve it). This structure enables both model evaluation and training.
| Property | Value |
|---|---|
| Task ID | G-134 |
| Task | Select Next Figure Large Small Alternating Sequence |
| Category | Abstraction |
| Resolution | 1024×1024 px |
| FPS | 16 fps |
| Duration | ~3-4 seconds |
| Output | PNG images + MP4 video |
# 1. Clone the repository
git clone https://github.com/VBVR-DataFactory/G-134_select_next_figure_large_small_alternating_sequence_data-generator.git
cd G-134_select_next_figure_large_small_alternating_sequence_data-generator
# 2. Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# 3. Install dependencies
pip install --upgrade pip
pip install -r requirements.txt
pip install -e .# Generate 50 samples
python examples/generate.py --num-samples 50
# Custom output directory
python examples/generate.py --num-samples 100 --output data/my_dataset
# Reproducible generation with seed
python examples/generate.py --num-samples 50 --seed 42
# Without videos (faster)
python examples/generate.py --num-samples 50 --no-videos| Argument | Description |
|---|---|
--num-samples |
Number of tasks to generate (required) |
--output |
Output directory (default: data/questions) |
--seed |
Random seed for reproducibility |
--no-videos |
Skip video generation (images only) |
The scene has two separated areas: a top SEQUENCE area and a bottom CHOICES area. In the SEQUENCE area, the shapes are the same shape and the same color, and their sizes strictly alternate between LARGE and SMALL from left to right. First observe the size-alternation pattern and determine whether the next item should be LARGE or SMALL, then select the one correct option (out of 4) in the CHOICES area that continues the same shape, color, and large/small alternation pattern. Circle the correct option and show the full process step by step.
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| Initial Frame Large-small alternating sequence and 4 choices |
Animation Correct option identified and circled |
Final Frame Answer circled in choices area |
Identify the large-small alternating size pattern in a sequence and select the correct next figure from multiple choices.
- Sequence area: Shapes alternating between large and small (left to right)
- Choices area: 4 candidate options for next figure
- Pattern constraints: Same shape, same color, alternating size
- Alternation pattern: Large → Small → Large → Small (or Small → Large → Small → Large)
- Task: Identify alternation pattern, find matching option, circle it
- Background: White with clear area separation
- Goal: Select the one option that continues the alternation correctly
- Size alternation pattern recognition
- Binary large/small classification
- Multiple choice selection task
- Tests understanding of alternating sequences
- Shape and color consistency verification
- Visual IQ test style reasoning
data/questions/select_next_figure_large_small_alternating_sequence_task/select_next_figure_large_small_alternating_sequence_00000000/
├── first_frame.png # Sequence and choices without answer
├── final_frame.png # Correct choice circled
├── prompt.txt # Alternation pattern continuation instruction
├── ground_truth.mp4 # Animation of answer selection
└── question_metadata.json # Task metadata
File specifications:
- Images: 1024×1024 PNG format
- Video: MP4 format, 16 fps
- Duration: ~3-4 seconds
visual-reasoning pattern-recognition size-alternation sequential-reasoning multiple-choice iq-test-style


