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