Add files using upload-large-folder tool

README.md

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+# BridgeData V2 Image Triplets Dataset
+
+This dataset contains image triplets from BridgeData V2 trajectories in ImageFolder format.
+
+## Dataset Structure
+
+- **initial_images/**: Contains first frame images (initial state)
+- **intermediate_images/**: Contains intermediate frame images (frame 38)
+- **final_images/**: Contains final frame images (frame 43)
+- **metadata.jsonl**: Contains metadata for each trajectory with image file paths
+
+## Format
+
+Each trajectory contributes one entry with:
+- First image (frame 0) - Initial state
+- Intermediate image (frame 38) - Intermediate edited state 
+- Frame 43 image (frame 43) - Final edited state
+- Trajectory metadata (campaign, session, trajectory names, etc.)
+
+All images have a consistent resolution of 640 x 480 pixels.
+
+## Statistics
+
+- Total trajectories: 8802
+- Total images: 26406
+- Image triplets per trajectory: 1
+- Image resolution: 640 x 480 pixels
+
+## Loading the Dataset
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("imagefolder", data_dir="path/to/dataset")
+
+# Access image triplets
+example = dataset[0]
+initial_image = example["first_image_file_name"]  # PIL Image - frame 0 (in initial_images/)
+intermediate_image = example["intermediate_image_file_name"]  # PIL Image - frame 38 (in intermediate_images/)
+final_image = example["frame_43_image_file_name"]  # PIL Image - frame 43 (in final_images/)
+metadata = {k: v for k, v in example.items() if not k.endswith("_file_name") and k != "intermediate_image_file_name"}
+```
+
+Generated on: 2025-09-07 20:48:31