Datasets:
The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
raise ValueError(
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 66, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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.
git clone https://github.com/torux-bughunter/EditCLEVR.git
cd EditCLEVR
pip install -e ".[hub]"
python -m editclevr.download
Or from Python:
from editclevr.download import setup_dataset
setup_dataset()
Evaluate
pip install -e .
python3 -m editclevr.evaluation.run_evaluation
File layout
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
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 in the code repository.
- Downloads last month
- 50,117