| --- |
| language: en |
| license: cc-by-4.0 |
| task_categories: |
| - image-to-image |
| tags: |
| - object-centric-learning |
| - intervention-faithfulness |
| - CLEVR |
| - synthetic |
| - computer-vision |
| pretty_name: EditCLEVR Phase 1 |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # EditCLEVR Phase 1 |
|
|
| EditCLEVR is a synthetic benchmark for evaluating **intervention faithfulness** in object-centric representations. Each example is a paired before/after scene where exactly one object-level factor may change. |
|
|
| ## Dataset summary |
|
|
| - **~20k paired edits** across six evaluation splits |
| - **Suites:** atomic single-factor edits, no-edit controls, hard distractors, and CoGenT-OOD combinations |
| - **Per-object factors:** `color`, `material`, `size`, `shape` |
| - **Artifacts per pair:** before/after RGB images, instance masks (`.npz`), scene JSON, object attributes, edit metadata, and difficulty tags |
|
|
| ## Splits |
|
|
| | Split | Purpose | |
| |-------|---------| |
| | `train` | Probe training | |
| | `val` | Validation | |
| | `test_id` | In-distribution atomic edits | |
| | `test_noop` | No-edit control pairs | |
| | `test_hard` | Hard distractor edits | |
| | `test_cogent` | CoGenT-OOD edits | |
|
|
| ## Download |
|
|
| The dataset ships as a small set of `.tar.gz` archives (one per suite plus a |
| `splits` bundle). The helpers below download and extract them into the original |
| directory layout automatically. |
|
|
| ```bash |
| git clone https://github.com/torux-bughunter/EditCLEVR.git |
| cd EditCLEVR |
| pip install -e ".[hub]" |
| python -m editclevr.download |
| ``` |
|
|
| Or from Python: |
|
|
| ```python |
| from editclevr.download import setup_dataset |
| |
| setup_dataset() |
| ``` |
|
|
| ## Evaluate |
|
|
| ```bash |
| pip install -e . |
| python3 -m editclevr.evaluation.run_evaluation |
| ``` |
|
|
| ## File layout |
|
|
| ```text |
| splits.json |
| atomic_id/ |
| no_edit/ |
| hard_distractor/ |
| cogent_ood/ |
| validation_report.json |
| phase1_manifest.json |
| ``` |
|
|
| `splits.json` stores relative paths to images, masks, and scene JSON files so the dataset can be moved across machines. |
|
|
| ## License |
|
|
| - **Dataset:** [CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/) |
| - **Code:** [MIT](https://github.com/torux-bughunter/EditCLEVR/blob/main/LICENSE) |
|
|
| ## Citation |
|
|
| If you use this dataset, please cite: |
|
|
| > Anuraag Gadehothur Karnam and Tarunesh Sathish. *EditCLEVR: A Paired-Scene Intervention Benchmark for Compositional Faithfulness of Object-Centric Representations.* ICML 2026 Workshop on Combining Theory and Benchmarks: Towards A Virtuous Cycle to Understand and Guarantee Foundation Model Performance, 2026. Paper URL work in progress. |
|
|
| See [`CITATION.cff`](https://github.com/torux-bughunter/EditCLEVR/blob/main/CITATION.cff) in the code repository. |
|
|
