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README.md

@@ -1,40 +1,111 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: images
-    struct:
-    - name: observation_images_chest
-      sequence: string
-    - name: observation_images_left_eye
-      sequence: string
-    - name: observation_images_left_wrist
-      sequence: string
-    - name: observation_images_right_eye
-      sequence: string
-    - name: observation_images_right_wrist
-      sequence: string
-  - name: conversations
-    list:
-    - name: from
-      dtype: string
-    - name: value
-      dtype: string
-  splits:
-  - name: train
-    num_bytes: 102315006
-    num_examples: 9
-  - name: validation
-    num_bytes: 34048539
-    num_examples: 3
-  download_size: 11474006
-  dataset_size: 136363545
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
+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}
+}
+```