---
dataset_info:
  features:
  - name: images
    sequence: image
  - name: problem
    dtype: string
  - name: answer
    dtype: string
  splits:
  - name: train
    num_bytes: 2401285909
    num_examples: 9508
  download_size: 0
  dataset_size: 2401285909
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# StepCountQA-RL-Traj_11_50 Dataset

## Dataset Description

StepCountQA-RL-Traj_11_50 is a visual question answering dataset focused on counting and spatial reasoning tasks. The dataset contains images paired with questions and detailed answers that require understanding and analyzing visual content.

## Dataset Structure

### Data Fields

- `images`: A sequence of images (typically one image per sample)
- `problem`: The question text describing the task to be solved in the image
- `answer`: The answer text containing the solution to the problem

### Data Splits

- **train**: 9508 training samples

## Dataset Statistics

- Training set size: 9508 samples
- Count range: 11 - 50
- Total dataset size: approximately 2290.0 MB

### Count Distribution (11-50)

| Count | Samples |
|-------|---------|
| 11 | 707 |
| 12 | 851 |
| 13 | 517 |
| 14 | 534 |
| 15 | 498 |
| 16 | 441 |
| 17 | 318 |
| 18 | 390 |
| 19 | 262 |
| 20 | 389 |
| 21 | 279 |
| 22 | 246 |
| 23 | 201 |
| 24 | 288 |
| 25 | 239 |
| 26 | 220 |
| 27 | 191 |
| 28 | 203 |
| 29 | 141 |
| 30 | 202 |
| 31 | 161 |
| 32 | 173 |
| 33 | 138 |
| 34 | 141 |
| 35 | 142 |
| 36 | 166 |
| 37 | 105 |
| 38 | 115 |
| 39 | 104 |
| 40 | 170 |
| 41 | 93 |
| 42 | 110 |
| 43 | 91 |
| 44 | 109 |
| 45 | 98 |
| 46 | 77 |
| 47 | 65 |
| 48 | 126 |
| 49 | 85 |
| 50 | 122 |

## Usage Example

```python
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("SI-Lab/StepCountQA-RL-Traj_11_50")

# Access the training set
train_data = dataset["train"]

# View a sample
print(train_data[0])
# Output: {'images': [...], 'problem': '...', 'answer': '...'}
```

## Dataset Creation

This dataset was created for training visual reasoning models, particularly focusing on:
- Counting objects in images (11-50 range)
- Spatial relationship understanding
- Step-by-step reasoning for visual problems

## Citation

If you use this dataset in your research, please cite the appropriate sources.

## License

Please refer to the dataset license for usage terms and conditions.