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--- |
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license: mit |
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task_categories: |
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- visual-question-answering |
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- image-classification |
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language: |
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- en |
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tags: |
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- robotics |
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- condition-checking |
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- multi-modal |
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- vision-language |
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size_categories: |
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- n<1K |
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--- |
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# Condition Checking Dataset |
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This dataset contains condition checking conversations for robotics applications, with embedded base64 images from multiple camera viewpoints. |
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## Dataset Description |
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- **Task**: Visual condition checking (True/False questions about robot states) |
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- **Modality**: Multi-modal (text + images) |
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- **Domain**: Robotics manipulation tasks |
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- **Format**: Conversational format suitable for VLM training |
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## Dataset Structure |
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### Data Fields |
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- `id`: Unique identifier for each sample |
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- `images`: Dictionary containing base64-encoded images from multiple camera viewpoints |
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- `conversations`: List of conversation turns (human question + assistant answer) |
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### Camera Viewpoints |
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The dataset includes images from 5 camera viewpoints: |
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- `observation_images_chest` |
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- `observation_images_left_eye` |
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- `observation_images_left_wrist` |
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- `observation_images_right_eye` |
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- `observation_images_right_wrist` |
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Each sample contains approximately 30 images total (6 per camera). |
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### Sample Structure |
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```json |
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{ |
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"id": "frame_index_position_part", |
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"images": { |
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"camera_key": ["base64_image_1", "base64_image_2", ...], |
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... |
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}, |
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"conversations": [ |
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{ |
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"from": "human", |
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"value": "Here are the observations... condition: (object is grasped) ..." |
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}, |
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{ |
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"from": "gpt", |
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"value": "True" |
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} |
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] |
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} |
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``` |
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## Usage |
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```python |
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from datasets import load_dataset |
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# Load the dataset |
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dataset = load_dataset("jeffshen4011/condition-checking-dataset") |
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# Access a sample |
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sample = dataset["train"][0] |
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print(f"Question: {sample['conversations'][0]['value'][:100]}...") |
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print(f"Answer: {sample['conversations'][1]['value']}") |
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print(f"Number of camera views: {len(sample['images'])}") |
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``` |
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## Dataset Statistics |
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- **Training samples**: 9 |
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- **Camera viewpoints**: 5 |
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- **Images per sample**: ~30 |
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- **Image format**: Base64-encoded PNG |
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- **Task type**: Binary classification (True/False) |
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## Applications |
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This dataset is designed for: |
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- Training vision-language models for robotics condition checking |
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- Multi-modal reasoning tasks |
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- Robot state verification |
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- Visual question answering in manipulation contexts |
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## Citation |
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If you use this dataset, please cite: |
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```bibtex |
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@dataset{condition_checking_dataset, |
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title={Condition Checking Dataset for Robotics}, |
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author={Research Team}, |
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year={2025}, |
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url={https://huggingface.co/datasets/jeffshen4011/condition-checking-dataset} |
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} |
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``` |
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