| --- |
| license: other |
| language: |
| - en |
| pretty_name: Spatial Edit Judge Dataset |
| task_categories: |
| - image-to-image |
| size_categories: |
| - n<1K |
| tags: |
| - image-editing |
| - camera-motion |
| - spatial-editing |
| - visual-judge |
| - edit-verification |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-00000-of-00001.parquet |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: before_image |
| dtype: image |
| - name: after_image |
| dtype: image |
| - name: instruction |
| dtype: string |
| - name: type |
| dtype: string |
| - name: error_kind |
| dtype: string |
| - name: expected_judge_label |
| dtype: string |
| - name: is_successful_edit |
| dtype: bool |
| - name: dataset_origin |
| dtype: string |
| - name: base_sample_id |
| dtype: string |
| - name: source_dataset_sample_id |
| dtype: string |
| - name: original_edit_command |
| dtype: string |
| - name: wrong_edit_command |
| dtype: string |
| - name: actual_after_edit_command |
| dtype: string |
| - name: edit_components |
| dtype: string |
| - name: source_original_image_id |
| dtype: string |
| - name: source_original_edit_id |
| dtype: string |
| - name: source_original_pool_id |
| dtype: string |
| - name: source_original_bucket |
| dtype: string |
| - name: source_original_instruction |
| dtype: string |
| splits: |
| - name: train |
| num_examples: 378 |
| --- |
| |
| # Spatial Edit Judge Dataset |
|
|
| This dataset tests whether a visual judge can decide if a requested spatial camera edit was actually satisfied. |
|
|
| Each row contains a before image, an after image, a text instruction, and the ground-truth judge label. The judge should answer whether the after image correctly follows the instruction. |
|
|
| ## Dataset Structure |
|
|
| The Hugging Face viewer uses: |
|
|
| - `data/train-00000-of-00001.parquet` |
|
|
| The repository also keeps the raw exported files: |
|
|
| - `images/{id}_before.*` |
| - `images/{id}_after.*` |
| - `instructions/{id}.txt` |
| - `metadata.jsonl` |
| - `metadata.csv` |
| - `skipped_non_invertible.jsonl` |
|
|
| ## Columns |
|
|
| - `before_image`: source image before the edit. |
| - `after_image`: candidate post-edit image. |
| - `instruction`: camera edit command shown to the judge. |
| - `type`: one of `correct`, `error_1`, or `error_2`. |
| - `error_kind`: `none`, `no_edit`, or `wrong_edit`. |
| - `expected_judge_label`: `success` for correct edits and `failure` for error cases. |
| - `is_successful_edit`: boolean version of the expected judge label. |
| - `dataset_origin`: `bytemorph` or `se`. |
| - `original_edit_command`: the true edit command from the curated source dataset. |
| - `wrong_edit_command`: the opposite-direction command used for wrong-edit cases. |
| - `actual_after_edit_command`: the edit that the after image actually shows, when applicable. |
|
|
| ## Case Types |
|
|
| Total rows: 378 |
|
|
| - `correct`: 126 rows. The after image is the true edited image for the instruction. |
| - `error_1`: 126 rows. No edit was done; the after image is a copy of the before image. |
| - `error_2`: 126 rows. The image pair shows the original edit, but the instruction is swapped to the opposite direction within the same edit type. |
|
|
| ## How It Was Created |
|
|
| This dataset was created from two manually curated camera-edit gold sets: |
|
|
| - ByteMorph camera gold set: 30 examples. |
| - SpatialEdit-Bench camera gold set: 101 examples. |
|
|
| Only examples with safe opposite-direction camera commands were used for this judge dataset. Five ByteMorph examples were skipped because they involved forward or backward camera motion and did not have a safe opposite under the chosen rules. |
|
|
| For every usable base example, three rows were created: |
|
|
| 1. `correct`: before image plus true after image, using the original instruction. |
| 2. `error_1`: before image plus the same before image as the after image, using the original instruction. |
| 3. `error_2`: before image plus true after image, but the instruction was changed to the opposite camera direction. |
|
|
| Wrong-edit instructions were created only within the same edit type: |
|
|
| - `zoom in` <-> `zoom out` |
| - `left` <-> `right` |
| - `up` <-> `down` |
|
|
| No cross-type swaps were used. For example, zoom commands were only swapped with zoom commands, and pan/tilt commands were only swapped with their opposite direction. |
|
|
| The row order was shuffled with seed `42`. |
|
|
| ## Distribution |
|
|
| Case distribution: |
|
|
| - `correct`: 126 |
| - `error_1`: 126 |
| - `error_2`: 126 |
|
|
| Origin distribution: |
|
|
| - `bytemorph`: 75 |
| - `se`: 303 |
|
|
| Instruction distribution: |
|
|
| - `move camera down and zoom in`: 1 |
| - `move camera left`: 13 |
| - `move camera left and point camera down`: 2 |
| - `move camera right`: 14 |
| - `move camera right and point camera up`: 1 |
| - `move camera up and zoom out`: 2 |
| - `pan camera left`: 27 |
| - `pan camera right`: 30 |
| - `point camera down`: 58 |
| - `point camera up`: 56 |
| - `zoom in`: 87 |
| - `zoom out`: 87 |
|
|
| ## Intended Use |
|
|
| Use this dataset to evaluate models or rule-based judges that score whether an instruction-guided spatial image edit was successful. |
|
|
| The primary label is `expected_judge_label`: |
|
|
| - `success`: the edit matches the instruction. |
| - `failure`: the edit is missing or the instruction describes the opposite edit. |
|
|
