| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label | |
| dtype: string | |
| - name: split_type | |
| dtype: string | |
| - name: objects | |
| dtype: string | |
| - name: object_set | |
| dtype: string | |
| - name: relations | |
| dtype: string | |
| - name: size | |
| dtype: string | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: train-*.parquet | |
| - split: validation | |
| path: validation-*.parquet | |
| # ROPE | |
| ROPE is an object detection benchmark combining images from ADE20K and COCO with bounding box annotations. 5,161 examples across 5 spatial relationship patterns (AAAAB, BAAAA, homogenous, heterogenous, mixed). | |
| ## Fields | |
| | Field | Description | | |
| |-------|-------------| | |
| | image | Input image (with bounding box overlays) | | |
| | label | Source dataset: `ADE` or `COCO` | | |
| | split_type | Relationship pattern | | |
| | objects | JSON-encoded list of objects with bounding boxes | | |
| | object_set | JSON-encoded list of object names | | |
| | relations | JSON-encoded spatial relations | | |
| | size | JSON-encoded image dimensions | | |
| Converted from [sled-umich/ROPE](https://huggingface.co/datasets/sled-umich/ROPE). | |