README.md

---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: task
    dtype: string
  - name: label
    dtype: string
  - name: description
    dtype: string
  - name: dataset_type
    dtype: string
  - name: question
    dtype: string
  - name: options
    list: string
  - name: shape
    dtype: string
  - name: color
    dtype: string
  - name: size_class
    dtype: string
  - name: location
    dtype: string
  - name: angle
    dtype: string
  splits:
  - name: angle
    num_bytes: 375221
    num_examples: 240
  - name: angle_count
    num_bytes: 156342
    num_examples: 100
  - name: color
    num_bytes: 375221
    num_examples: 240
  - name: color_count
    num_bytes: 156342
    num_examples: 100
  - name: count
    num_bytes: 156342
    num_examples: 100
  - name: location
    num_bytes: 375221
    num_examples: 240
  - name: location_count
    num_bytes: 156342
    num_examples: 100
  - name: occlusion
    num_bytes: 156342
    num_examples: 100
  - name: position
    num_bytes: 156342
    num_examples: 100
  - name: shape
    num_bytes: 375221
    num_examples: 240
  - name: shape_count
    num_bytes: 156342
    num_examples: 100
  - name: size
    num_bytes: 375221
    num_examples: 240
  - name: size_count
    num_bytes: 156342
    num_examples: 100
  - name: train
    num_bytes: 3128593
    num_examples: 2000
  download_size: 3659488
  dataset_size: 6255434
configs:
- config_name: default
  data_files:
  - split: angle
    path: data/angle-*
  - split: angle_count
    path: data/angle_count-*
  - split: color
    path: data/color-*
  - split: color_count
    path: data/color_count-*
  - split: count
    path: data/count-*
  - split: location
    path: data/location-*
  - split: location_count
    path: data/location_count-*
  - split: occlusion
    path: data/occlusion-*
  - split: position
    path: data/position-*
  - split: shape
    path: data/shape-*
  - split: shape_count
    path: data/shape_count-*
  - split: size
    path: data/size-*
  - split: size_count
    path: data/size_count-*
  - split: train
    path: data/train-*
---
## Dataset Description

This dataset contains two types of tasks:

### Single-Object Tasks (5 tasks, 1,200 samples)
- **Shape**: Identify object shape (star, diamond, triangle, square)
- **Color**: Identify object color (red, green, blue, yellow)
- **Size**: Identify object size (xs, s, l, xl)
- **Location**: Identify object location (upper_left, upper_right, lower_left, lower_right)
- **Angle**: Identify triangle orientation (0°, 45°, 90°, 135°)

### Multi-Object Tasks (3 tasks, 300 samples)
- **Count**: Count objects by color
- **Position**: Determine relative position (left, right, above, below)
- **Occlusion**: Identify which object is on top

## Key Features

- **White background** for clarity
- **Randomized attributes**: Each task randomizes non-target attributes to prevent shortcuts
- **Description field**: Enables text-only experiments (image vs. text-only comparison)
- **Balanced classes**: Equal samples per class within each task

## Dataset Structure

```python
{
    "image": PIL.Image,
    "task": str,  # Task name
    "label": str,  # Ground truth label
    "description": str,  # Text description of the image
    "dataset_type": str,  # "single" or "multi"
    "question": str,  # Question text (multi-object only)
    "options": List[str],  # Answer options (multi-object only)
    "shape": str,  # Object shape (if applicable)
    "color": str,  # Object color (if applicable)
    "size_class": str,  # Size class (if applicable)
    "location": str,  # Location (if applicable)
    "angle": str,  # Angle (if applicable)
}
```

## Usage

```python
from datasets import load_dataset

# Load entire dataset
ds = load_dataset("Hanoi0126/visual-object-attributes")

# Load specific task
ds_color = load_dataset("Hanoi0126/visual-object-attributes", split="color")
```